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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Clin. Diabetes Healthc.</journal-id>
<journal-title>Frontiers in Clinical Diabetes and Healthcare</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Clin. Diabetes Healthc.</abbrev-journal-title>
<issn pub-type="epub">2673-6616</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcdhc.2025.1495849</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Clinical Diabetes and Healthcare</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Perspectives of type 2 diabetes mellitus management in Algeria: a comprehensive expert review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Belhadj</surname>
<given-names>Mohamed</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Malek</surname>
<given-names>Rachid</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Baghous</surname>
<given-names>Houssem</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2990340/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Boukheloua</surname>
<given-names>Mourad</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Arbouche</surname>
<given-names>Zakia</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Nouri</surname>
<given-names>Nassim</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Amani</surname>
<given-names>Mohammed El Amine</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Sersoub</surname>
<given-names>Fethia</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Haireche</surname>
<given-names>Mohamed Amine</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Internal Medicine Department, Specialist Hospital 1<sup>er</sup> Novembre 1954</institution>, <addr-line>Oran</addr-line>, <country>Algeria</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Internal Medicine Department, University of Medical Sciences Ferhat Abbas</institution>, <addr-line>Setif</addr-line>, <country>Algeria</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Diabetology, Mustapha Bacha Hospital</institution>, <addr-line>Algiers</addr-line>, <country>Algeria</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Cardiology, Nafissa Hamoud Hospital (ex Parnet)</institution>, <addr-line>Algiers</addr-line>, <country>Algeria</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Private Practitioner</institution>, <addr-line>Algiers</addr-line>, <country>Algeria</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Diabetology Department, Medicine Faculty of Constantine</institution>, <addr-line>Constantine</addr-line>, <country>Algeria</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Medical Department, Hikma Pharma</institution>, <addr-line>Algiers</addr-line>, <country>Algeria</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Medical Writing Department, Medical Ax&#xe8;s</institution>, <addr-line>Boulogne Billancourt</addr-line>, <country>France</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Apoorva Gomber, Brigham and Women&#x2019;s Hospital and Harvard Medical School, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Mohammad Mobashir, Norwegian University of Science and Technology (NTNU), Norway</p>
<p>Jiahe Li, University of Pittsburgh, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Mohamed Amine Haireche, <email xlink:href="mailto:amine.haireche@gmail.com">amine.haireche@gmail.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>04</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>6</volume>
<elocation-id>1495849</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Belhadj, Malek, Baghous, Boukheloua, Arbouche, Nouri, Amani, Sersoub and Haireche</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Belhadj, Malek, Baghous, Boukheloua, Arbouche, Nouri, Amani, Sersoub and Haireche</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>The health and economic impacts of type 2 diabetes mellitus (T2DM) remain substantial, notably in developing countries.</p>
</sec>
<sec>
<title>Objectives</title>
<p>To provide an in-depth assessment of the T2DM situation in Algeria to understand its multifaceted burden and identify priority areas of intervention.</p>
</sec>
<sec>
<title>Methods</title>
<p>A systematic literature search was conducted on all published articles about T2DM in Algeria over the past 30 years, including original research, reviews, and case series. The extracted data were thoroughly analyzed and synthesized by a committee of diabetes experts.</p>
</sec>
<sec>
<title>Results</title>
<p>Algerian epidemiological data point towards a constant rise of T2DM prevalence, roughly from 8.9% in 2003 to 14.4% in 2016-2017. The mean onset is around 41 years with women experiencing a greater burden at younger age. Low socioeconomic status, limited education, and lack of health insurance exacerbate T2DM risk and health inequities. Lifestyle and metabolic risk factors are prevalent. Despite advancements in glycemic control, prescribing practices lack standardization, with suboptimal use of antidiabetic drugs and absence of novel drugs in the market. Health and economic burdens are dominated by complications, highlighting inadequate primary and tertiary prevention strategies.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Notwithstanding the increasing burden of T2DM in Algeria, the healthcare strategies and therapeutic outcomes remain suboptimal. This underscores the necessity for a comprehensive strategy including enhanced prevention, access to novel treatments, standardized practices, along with a patient-centered approach.</p>
</sec>
</abstract>
<kwd-group>
<kwd>type 2 diabetes mellitus</kwd>
<kwd>Algeria</kwd>
<kwd>burden</kwd>
<kwd>socioeconomic factors</kwd>
<kwd>prevention</kwd>
<kwd>management strategy</kwd>
<kwd>epidemiology</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="104"/>
<page-count count="14"/>
<word-count count="7494"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Diabetes Health Services and Health Economics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Type 2 diabetes mellitus (T2DM) is one of the most prevalent chronic disorders of adulthood worldwide (<xref ref-type="bibr" rid="B1">1</xref>). Its recent (2021) global prevalence was estimated at 10.5% (536.6 million people) in the 20-79 age group, projected to increase to 12.2% (783.2 million) by 2045 (<xref ref-type="bibr" rid="B2">2</xref>). Other data estimated the global prevalence at 437.9 million cases in 2019, resulting in 1.5 million deaths and 66.3 million disability-adjusted life years (DALYs); however, T2DM burden is highest in low- and middle-income countries such as Algeria (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Another aspect of diabetes burden is the elevated cardiovascular risk. Despites advancements that reduced the burden of microvascular complications, cardiovascular diseases persist as the predominant cause of death in T2DM patients (<xref ref-type="bibr" rid="B4">4</xref>). It is imperative to highlight that T2DM exacerbates the progression of atherosclerotic plaque formation and its subsequent rupture, a critical precipitating factor for acute cardiovascular incidents such as myocardial infarction and cerebrovascular strokes (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>T2DM pathophysiology involves complex interactions leading to &#x3b2;-cell dysfunction, insulin resistance, and hyperglycemia. Key features include diminished insulin secretion and &#x3b2;-cell insensitivity to glucose, alongside increased glucagon levels and disrupted incretin hormones, contributing to poor glycemic control (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). Recent evidence highlights the major role of obesity in inducing insulin resistance in peripheral tissues, by disrupting insulin signaling subsequent to high free fatty acids levels and adipokines secretion (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). This generates a vicious cycle where insulin resistance increases gluconeogenesis and lipolysis, leading to hyperglycemia and elevated free fatty acids. In chronic stages, T2DM induces oxidative stress and endoplasmic reticulum stress in &#x3b2;-cells, resulting in their apoptosis (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Additionally, systemic inflammation, altered lipid metabolism, and neurotransmitter dysfunction due to central insulin resistance are significant in T2DM progression (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>These new insights enabled considerable advancements in diabetes pharmacopeia and management approaches. The emergence of novel hypoglycemic drugs, such as GLP-1 receptor agonists (GLP-1RA), DPP-4 inhibitors (DPP-4i), and SGLT-2 inhibitors (SGLT-2i), has not only improved glycemic control but also provided benefits in terms of cardiovascular and renal protection (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). The utilization of these novel drugs is increasingly integrated in clinical practice guidelines, along with particular emphasis on weight reduction and dietary and other lifestyle changes (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>Algeria exemplifies developing countries facing escalating challenges from T2DM and its associated complications. Despite significant local efforts, the situation is alarming due to rising disease prevalence, high obesity and overweight rates, inadequate glycemic control, and substantial undiagnosed cases (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>). The estimated T2DM prevalence in Algeria is 10% based on previous regional studies, but updated data is needed to account for a probable significant increase in cases in recent years. Predictably, this prevalence is higher among old individuals and those living in urban areas and those with positive familial history (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Besides, the national economic cost of T2DM is high, and expenditures are essentially dedicated to the management of complications and medication supply (<xref ref-type="bibr" rid="B25">25</xref>). It is therefore crucial to identify the effective and cost-effective strategies to optimize the prevention and management strategies of T2DM in Algeria.</p>
<p>The present review aims to propose solutions for enhancing the management of T2DM in Algeria. It provides a comprehensive analysis of T2DM burden and management indicators in Algeria, thereby characterizing the current and future challenges and barriers that impede the improvement in patients with diabetes care. Such analysis holds significant importance in strategic planning and resource allocation in both preventive and therapeutic programs.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methodology</title>
<p>A systematic literature search was conducted to include published data addressing T2DM epidemiology, risk factors, management, and outcomes in Algeria over the past three decades. Published articles were searched in PubMed/MEDLINE, Embase, Scopus, Web of Science, and Google Scholar. We used a comprehensive literature search strategy employing keywords used &#x201c;Algeria&#x201d;, &#x201c;Algerian&#x201d;, &#x201c;Type 2 Diabetes&#x201d;, along with Boolean operators (AND, OR). Referenced conference posters and academic dissertations providing original and relevant data were also included, sourced from a committee of diabetes experts.</p>
<p>We included all original or review articles or case studies in English or French, based on observational or interventional data, conducted in Algeria or involving Algerian patients as part of a multinational project. However, case reports were excluded.</p>
<p>Two teams of two independent reviewers conducted the literature screening. The first team independently screened the titles and abstracts of the identified articles to determine their relevance based on the inclusion criteria. The second team retrieved full-text articles of potentially relevant studies and assessed them for final inclusion in the review. The studies were classified by chapter, as per relevance; knowing that one study may be relevant to more than one chapter. Data extraction was conducted by a team of three investigators. Key data were synthesized using a narrative and descriptive synthesis approach combined with a thematic analysis, to identify trends, patterns, and figures. Where relevant, findings were structured chronologically and categorized by themes. Results are organized into four chapters and a general discussion.</p>
</sec>
<sec id="s3">
<label>3</label>
<title>Epidemiological figures of T2DM in Algeria</title>
<p>During the past three decades, the prevalence of T2DM in Algeria has been examined through various population-based and hospital-based studies. However, the estimates and their reliability fluctuated depending on the methodology used, noting a big heterogeneity in the studied populations and diagnostic methods. Malek reported the most important studies published up to 2005 (<xref ref-type="bibr" rid="B26">26</xref>). In this section, we will review the available data on T2DM prevalence in Algeria, considering the different study designs and their implications. The different prevalence estimates and trends are summarized in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, by specifying the recruitment method (population- versus hospital-based, regional versus national) and sample size of the different studies.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Prevalence of type 2 diabetes in Algeria between 1990-2020 using various estimates and data sources.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcdhc-06-1495849-g001.tif"/>
</fig>
<sec id="s3_1">
<label>3.1</label>
<title>National, population-based studies</title>
<p>T2DM prevalence in Algeria has been rising over the past three decades, as demonstrated by the WHO StepWise project and other large-scale national studies. In 2003, the StepWise WHO-Algeria project was piloted in two regions, Mostaganem and Setif, involving 4,050 individuals aged 25-64 years. The pilot survey reported a T2DM prevalence of 8.9% based on elevated fasting blood glucose (<xref ref-type="bibr" rid="B27">27</xref>). In 2005, the National Institute of Public Health conducted the Tahina project (published in 2007), a national survey involving 4,818 individuals aged 35-70 from 26 districts. The survey revealed a higher prevalence of 12.20% based on the same criteria. Another remarkable finding was the early onset of T2DM from the age of 30, with no difference in prevalence between the two genders, along with a lower prevalence in the south of Algeria (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>In 2006, another large-scale, household national study, the Multiple Indicator Cluster Survey 3 (MICS 3) was conducted by the Algerian Ministry of Health (MOH), in collaboration with the United Nations Children&#x2019;s Fund (UNICEF) and the United Nations Population Fund (UNFPA). MICS 3 surveyed 29,008 households and found a prevalence of 2.1% (<xref ref-type="bibr" rid="B29">29</xref>). In the same year, Malek et&#xa0;al. conducted a large-scale (N=86,785) screening campaign (Published in 2013), involving 86,785 participants aged 35 years old or older, in Eastern and Southeastern Algeria. The estimated prevalence of unknown T2DM was 5.27% (<xref ref-type="bibr" rid="B30">30</xref>), which should be added to the overall prevalence.</p>
<p>In 2013, MICS 4 survey was conducted involving 147,471 individuals, including 98,539 adults. The overall prevalence of T2DM was 2.9% while that among individuals aged 25 and older was 3.6%, gradually increasing to reach 10.7% in age category 60-69 years (<xref ref-type="bibr" rid="B31">31</xref>). Conversely, Handlos et&#xa0;al. (<xref ref-type="bibr" rid="B32">32</xref>) conducted an international population-based study involving 2155 Algerian participants, among 6588 total participants, which reported a prevalence of 8.70% based on HbA1c levels (<xref ref-type="bibr" rid="B32">32</xref>). In 2016-2017, a second edition of the StepWise WHO-Algeria survey was conducted among 7,450 individuals aged 25-64 years from various regions in Algeria. The survey indicated a prevalence of 14.40% based on elevated FBG levels, representing a 1.6-fold increase by reference to 2003 (approximately 10 years later) (<xref ref-type="bibr" rid="B33">33</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Regional, population-based studies</title>
<p>Besides these national studies, several regional, population-based studies have been conducted in the past 3 decades, involving various methods and subgroups. These studies showed that T2DM prevalence has been on the rise since the late 1990s and fluctuating around 8% in the early 2000s. Notably, two studies that used oral glucose tolerance test (OGTT) supported these findings: one by Houti et&#xa0;al. in Oran in 1994 (<xref ref-type="bibr" rid="B34">34</xref>), and another by Malek et&#xa0;al. in Setif in 1998 (<xref ref-type="bibr" rid="B35">35</xref>), reporting a prevalence of 6.3% and 8.8%, respectively. Consistently, Kamali Z et&#xa0;al. reported a prevalence of 8.70% among individuals above the age of 25 in the district of Beb El Oued district, Algiers, in 1994 (<xref ref-type="bibr" rid="B36">36</xref>). These figures should be added those of undiagnosed T2DM, reported to be 2.10% in Algiers, in 1992 (<xref ref-type="bibr" rid="B37">37</xref>). Nonetheless, we note some significant regional variations in T2DM prevalence during that period. For instance, in 2003, Belhadj M et&#xa0;al. observed a remarkably lower prevalence of 1.30% among the Touareg population in Adrar, using FBG levels (<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>Studies that used other diagnostic methods of T2DM showed variable figures. In 2008, Yahia-Berrouiguet et&#xa0;al. reported a prevalence of 6.40% in Tlemcen, among individuals aged 25 years and above, based on elevated FBG levels or oral antidiabetic medication use (<xref ref-type="bibr" rid="B39">39</xref>). In 2015, Chami et&#xa0;al. reported a higher prevalence of 26.7% in Sidi Bel Abbas, among 393 individuals aged &#x2265;65 years using fasting and random capillary glucose levels (<xref ref-type="bibr" rid="B40">40</xref>). The latter figure should consider the study focus on older population and the limits of the used diagnostic methods. However, it suggests the high prevalence of undiagnosed cases among this age category. More recently, Dalichaouche-Benchaoui et&#xa0;al. conducted a study on the metabolic and systemic cardiovascular risk factors associated with obesity among 1,200 adult inhabitants of Constantine, in Eastern Algeria. Among the outcomes was the prevalence of diabetes, which was estimated to be as high as 21.91% (<xref ref-type="bibr" rid="B41">41</xref>).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Hospital-based studies</title>
<p>In the meantime, several hospital-based studies have explored the prevalence of T2DM, targeting various populations. Zaoui S et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>) conducted a multicenter study in Tlemcen, including 7,656 individuals above 20 years old. They reported a prevalence of 10.50% based on elevated FBG levels (<xref ref-type="bibr" rid="B24">24</xref>). In 2014, Azzouz et&#xa0;al. conducted a hospital-based study in Algiers, reporting a prevalence of 23.10% among individuals aged 35 years and older using FBG levels and/or glucose tolerance tests (<xref ref-type="bibr" rid="B42">42</xref>). Additionally, Chami et&#xa0;al. (<xref ref-type="bibr" rid="B40">40</xref>) conducted a population-based study in Sidi Bel Abbas, which revealed a high prevalence of 26.7% among individuals aged 65 years and older based on capillary blood glucose levels (<xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>A few other hospital-based studies with a less rigorous designs have been conducted. In 2017, Bendib et&#xa0;al. recruited 200 hypertensive patients in a single-center study, and found a frequency of T2DM as high as 46.50% (<xref ref-type="bibr" rid="B35">35</xref>). Finally, Nebab et&#xa0;al. conducted a multicenter study involving 3,547 adult individuals (18 years and older) who were attending hospital clinics for routine visits, and found that 47.3% were known diabetics (<xref ref-type="bibr" rid="B43">43</xref>). Although the two latter studies are not reliable in reflecting the prevalence, they are indicative of the substantial T2DM comorbidity and associated expenditures in terms of financial, logistic and human resources incurred by the health system.</p>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Socioeconomic determinants and risk factors of T2DM in Algeria</title>
<p>A total of 28 studies provided data on T2DM risk factors in Algeria, between 2007 and 2022. The main findings are presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> and synthesized in the present section to enable defining high-risk groups.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Systematic review of risk factors associated with type two diabetes in Algeria between 2004 and 2022.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Reference (Authors)</th>
<th valign="middle" align="left">Year</th>
<th valign="middle" align="left">Place</th>
<th valign="middle" align="left">Design</th>
<th valign="middle" align="left">Population characteristics</th>
<th valign="middle" align="left">Risk factors<sup>&#xa7;</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Benotmane et&#xa0;al. (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="middle" align="left">2004</td>
<td valign="middle" align="left">Oran [West]</td>
<td valign="middle" align="left">Hospital-based</td>
<td valign="middle" align="left">339 hospitalized diabetic patients with foot lesions</td>
<td valign="middle" align="left">86.8% of men with diabetic foot lesion were smokers</td>
</tr>
<tr>
<td valign="top" align="left">Zaoui et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="middle" align="left">2007</td>
<td valign="middle" align="left">Tlemcen [West]</td>
<td valign="middle" align="left">Hospital-based (MS)</td>
<td valign="middle" align="left">7,656 aged &gt; 20 years</td>
<td valign="middle" align="left">Male gender, urban residents, positive family history, obesity</td>
</tr>
<tr>
<td valign="top" align="left">Ministry of Health (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="middle" align="left">2008</td>
<td valign="middle" align="left">National (<bold>MICS 3</bold>)</td>
<td valign="middle" align="left">Population-based</td>
<td valign="middle" align="left">~171,150 participants</td>
<td valign="middle" align="left">Older age, urban setting, high economic class,<break/>Relatively lower prevalence risk in Southern regions (1.8%) versus center (2.3%)</td>
</tr>
<tr>
<td valign="top" align="left">Houti et&#xa0;al. (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="middle" align="left">2009</td>
<td valign="middle" align="left">Oran [West]</td>
<td valign="middle" align="left">Population-based</td>
<td valign="middle" align="left">787 aged 30-64</td>
<td valign="middle" align="left">Older age, high BMI, Waist circumference, waist-to-hip ratio, high blood pressure measures</td>
</tr>
<tr>
<td valign="top" align="left">Belhadj et&#xa0;al. (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="middle" align="left">2010</td>
<td valign="middle" align="left">National (<bold>DiabCare</bold>)</td>
<td valign="middle" align="left">Hospital-based (MS)</td>
<td valign="middle" align="left">1,005 diabetic patients following up for at least 12 months</td>
<td valign="middle" align="left">Mean &#xb1; age of onset: 41.25 &#xb1; 13.69 years<break/>74.1% were overweight or obese<break/>Cardiovascular risk factors: hypertension 32.5% (6.0% non-treated); low HDL 54,2%, hypertriglyceridemia 32.2%; high LDL 95.2%; Smoking 9.3%</td>
</tr>
<tr>
<td valign="top" align="left">Belmokhtar et&#xa0;al. (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="middle" align="left">2011</td>
<td valign="middle" align="left">Maghnia, Tlemcen [West]</td>
<td valign="middle" align="left">Hospital based, case-control</td>
<td valign="middle" align="left">551 diabetic patients and 271 controls</td>
<td valign="middle" align="left">Low educational level, low economic level (income &lt;100.000DZD), number of children &gt;5, high number of people in household, obesity, sedentary lifestyle, irregular food intake, hypertension, and family history of diabetes, <bold>no health insurance</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Sahi et&#xa0;al. (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="middle" align="left">2011</td>
<td valign="middle" align="left">Maghnia, Tlemcen [West]</td>
<td valign="middle" align="left">Hospital-based</td>
<td valign="middle" align="left">280 diabetics and 271 controls</td>
<td valign="middle" align="left">No association with ABO/Rh blood group</td>
</tr>
<tr>
<td valign="top" align="left">Handlos et&#xa0;al. (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="middle" align="left">2013</td>
<td valign="middle" align="left">International (Algeria, UAE and Saudi Arabia)</td>
<td valign="middle" align="left">Population-based</td>
<td valign="middle" align="left">6,588 individuals (2155 Algerians) aged between 30 and 75</td>
<td valign="middle" align="left">Older age, high BMI. Algeria had the lowest rate of current smokers (12.5%).</td>
</tr>
<tr>
<td valign="top" align="left">Malek et&#xa0;al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="middle" align="left">2013</td>
<td valign="middle" align="left">Eastern and south-eastern region (18 wilayas)</td>
<td valign="middle" align="left">Hospital-based (MS)</td>
<td valign="middle" align="left">86,785 individuals aged 35 and older, unknown diabetic status</td>
<td valign="middle" align="left">Older age, family history of diabetes, history of gestational diabetes, hypertension, obesity, no influence of sex</td>
</tr>
<tr>
<td valign="top" align="left">Mohammed Nadjib et al. (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="middle" align="left">2013</td>
<td valign="middle" align="left">Tlemcen [West]</td>
<td valign="middle" align="left">Hospital-Based, case-control</td>
<td valign="middle" align="left">150 individuals (90 diabetics and 10 controls)</td>
<td valign="middle" align="left">Most affected age group is: 45&#x2013;55 years (24.44%) in females and over 65 years (20%) in males, overweight and obesity, HbA1c increases with age in diabetics.</td>
</tr>
<tr>
<td valign="top" align="left">Azouz et&#xa0;al. (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="middle" align="left">2014</td>
<td valign="middle" align="left">Alger [Center]</td>
<td valign="middle" align="left">Hospital-based (MS)</td>
<td valign="middle" align="left">1000 individuals aged 35 years or older</td>
<td valign="middle" align="left">Male sex</td>
</tr>
<tr>
<td valign="top" align="left">Ouhaibi-Djellouli et&#xa0;al. (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="middle" align="left">2014</td>
<td valign="middle" align="left">Oran [West]</td>
<td valign="middle" align="left">Population-based</td>
<td valign="middle" align="left">787 individuals aged between 30-64</td>
<td valign="middle" align="left">
<italic>Gene effect</italic>: T allele of the rs7903146 single nucleotide polymorphism (OR=1.55); <italic>gene-diet interaction</italic>: T allele carriers with high dessert and milk intakes (OR = 2.61).</td>
</tr>
<tr>
<td valign="top" align="left">Sebbani et&#xa0;al. (<xref ref-type="bibr" rid="B51">51</xref>)</td>
<td valign="middle" align="left">2014</td>
<td valign="middle" align="left">Tlemcen [West]</td>
<td valign="middle" align="left">Hospital-based</td>
<td valign="middle" align="left">73 individuals with depression</td>
<td valign="middle" align="left">High prevalence of T2DM (69.9%; 95%CI: 57.9&#x2013;79.8) in depression.</td>
</tr>
<tr>
<td valign="top" align="left">Diaf et&#xa0;al. (<xref ref-type="bibr" rid="B52">52</xref>)</td>
<td valign="middle" align="left">2014</td>
<td valign="middle" align="left">Sidi Bel Abbas and Mascara [West]</td>
<td valign="middle" align="left">Hospital-based (MS)</td>
<td valign="middle" align="left">238 diabetics aged 19 &#x2013; 75, on oral antidiabetics</td>
<td valign="middle" align="left">High proportion of females; positive correlation of high BMI with postprandial glucose, HGL-c and apolipoprotein A-I, and triglyceride levels.</td>
</tr>
<tr>
<td valign="top" align="left">Ministry of Health, UNICEF, UNFPA (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="middle" align="left">2015</td>
<td valign="middle" align="left">National (<bold>MICS 4</bold>)</td>
<td valign="middle" align="left">Population-based</td>
<td valign="middle" align="left">147,471 participants, including 98539 adults</td>
<td valign="middle" align="left">Older age: 40-49 (3.4%), 50-59 (8.1%), 60-69 (10.7%), 70+ (9.7%); no gender difference; no significant difference between urban and rural residents</td>
</tr>
<tr>
<td valign="top" align="left">Diaf et&#xa0;al. (<xref ref-type="bibr" rid="B53">53</xref>)</td>
<td valign="middle" align="left">2015</td>
<td valign="middle" align="left">Sidi Bel Abbas and Mascara [West]</td>
<td valign="middle" align="left">Hospital-based (MS)</td>
<td valign="middle" align="left">285 patients aged 20 &#x2013; 75</td>
<td valign="middle" align="left">Overweight and obesity more frequent in diabetic females than males, overweight and obese diabetics have higher total energy intake and lower meal frequency, and higher consumption of total fat, and saturated and polyunsaturated fatty acids.</td>
</tr>
<tr>
<td valign="top" align="left">Ferdi et&#xa0;al. (<xref ref-type="bibr" rid="B54">54</xref>)</td>
<td valign="middle" align="left">2016</td>
<td valign="middle" align="left">Tebessa [East]</td>
<td valign="middle" align="left">Hospital-based, case-control (MS)</td>
<td valign="middle" align="left">100 diabetics and 100 controls</td>
<td valign="middle" align="left">Lower education, lower socioeconomic status, positive family history, no sex difference</td>
</tr>
<tr>
<td valign="top" align="left">Ferdi et&#xa0;al. (<xref ref-type="bibr" rid="B55">55</xref>)</td>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">Tebessa [East]</td>
<td valign="middle" align="left">Hospital-based, case-control (MS)</td>
<td valign="middle" align="left">100 diabetics and 100 control</td>
<td valign="middle" align="left">Older age (<bold>not reliable</bold>); higher BMI associated with higher blood glucose levels in diabetics.</td>
</tr>
<tr>
<td valign="top" align="left">Belhadj et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="middle" align="left">2013-2017</td>
<td valign="middle" align="left">National (Barometer)</td>
<td valign="middle" align="left">Hospital-based</td>
<td valign="middle" align="left">14,609 adult T2DM patients aged 18&#x2013;97 years</td>
<td valign="middle" align="left">Male-to-female ratio = 0.61; overweight (41.2%) and obesity (37.2%); hypertension (37.6%); dyslipidemia (28.2%); family history of diabetes (63%), CVD (36.1%),</td>
</tr>
<tr>
<td valign="top" align="left">Kachekouche et&#xa0;al. (<xref ref-type="bibr" rid="B56">56</xref>)</td>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">Western region</td>
<td valign="middle" align="left">Hospital based, case-control</td>
<td valign="middle" align="left">1,059 diabetics and 793 controls aged 30 years or older</td>
<td valign="middle" align="left">High mean corpuscular hemoglobin (&gt;36 g/dL), lower platelets blood ratio, basophils ratio and sedimentation rate at one hour</td>
</tr>
<tr>
<td valign="top" align="left">Behar et&#xa0;al. (<xref ref-type="bibr" rid="B57">57</xref>)</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">Tlemcen [West]</td>
<td valign="middle" align="left">Hospital based, case-control</td>
<td valign="middle" align="left">140 female diabetics and 150 female healthy controls</td>
<td valign="middle" align="left">High (OR=2.21) and low (OR=2.52) dietary selenium intake</td>
</tr>
<tr>
<td valign="top" align="left">Bounihi et&#xa0;al. (<xref ref-type="bibr" rid="B58">58</xref>)</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">Algiers [Center]</td>
<td valign="middle" align="left">Hospital-based</td>
<td valign="middle" align="left">390 diabetics</td>
<td valign="middle" align="left">High frequency of obesity (41.3%) and abdominal obesity (93.5%), female sex, hypertension, low physical activity, high meat and protein intake, and higher dietary diversity score (DDS, OR for diabetes =1.38)</td>
</tr>
<tr>
<td valign="top" align="left">Mansouri et&#xa0;al. (<xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">Algiers [Center]</td>
<td valign="middle" align="left">Hospital-based</td>
<td valign="middle" align="left">180 diabetics and 181 controls aged 18-86</td>
<td valign="middle" align="left">Chlorinated persistent organic pollutants: p,p&#x2019;-dichlorodiphenyldichloroethylene (p,p&#x2019;-DDE, OR: 12.58), hexachlorobenzene (HCB, OR: 3.69), polychlorinated biphenyl (PCB, OR: 2.28).</td>
</tr>
<tr>
<td valign="top" align="left">Dalichaouche-Benchaoui and Abadi (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">Constantine [East]</td>
<td valign="middle" align="left">Population-based</td>
<td valign="middle" align="left">1,200 aged 18 and older</td>
<td valign="middle" align="left">Older age, higher BMI, triangular relationship with dyslipidemia</td>
</tr>
<tr>
<td valign="top" align="left">Nebab et&#xa0;al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">Multiregional</td>
<td valign="middle" align="left">Hospital-based (MS)</td>
<td valign="middle" align="left">3547 aged 18 and older</td>
<td valign="middle" align="left">Obesity</td>
</tr>
<tr>
<td valign="top" align="left">Khaldi et&#xa0;al. (<xref ref-type="bibr" rid="B60">60</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">Ouargla [South]</td>
<td valign="middle" align="left">Hospital-based (MS)</td>
<td valign="middle" align="left">76 patients giving 103 clinical samples</td>
<td valign="middle" align="left">The prevalence of ESBL and carbapenemase-producing <italic>Enterobacteriaceae</italic> was higher among diabetics (11.42% versus 2.85%) compared to non- diabetics respectively.</td>
</tr>
<tr>
<td valign="top" align="left">Hafidh et&#xa0;al. (<xref ref-type="bibr" rid="B61">61</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">International (12 countries)</td>
<td valign="middle" align="left">Hospital-based (MS)</td>
<td valign="middle" align="left">3,525 diabetics</td>
<td valign="middle" align="left">Compared to MENA countries, Algerian diabetics have the lowest % of affected males (48.5%), lowest mean HbA1c (8.3%), lowest mean BMI (29.1 Kg/m<sup>2</sup>), lowest rate of current smokers (6.6%) and hyperlipidemia (19.9%).<break/>Microvascular complications (23.7%) - peripheral neuropathy was the most common, macrovascular complications (6.2%).</td>
</tr>
<tr>
<td valign="top" align="left">Mimoune et&#xa0;al. (<xref ref-type="bibr" rid="B62">62</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">Constantine [East]</td>
<td valign="middle" align="left">Hospital-based</td>
<td valign="middle" align="left">47 diabetics</td>
<td valign="middle" align="left">High smoking rate (34%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<bold>
<sup>&#xa7;</sup>
</bold>Except otherwise specified, only categories with higher risk are mentioned.</p>
</fn>
<fn>
<p>(MS), Multicenter study; &#x2018;diabetics&#x2019; refers to known type 2 diabetes; ESBL, Extended-Spectrum Beta-Lactamase producing bacteria.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s4_1">
<label>4.1</label>
<title>Age and gender</title>
<p>According to the Barometer-Algeria study (N=14,609), conducted between 2013-2017 by Belhadj et&#xa0;al., the mean age of T2DM patients was 60.3 (SD=10.6) years (<xref ref-type="bibr" rid="B21">21</xref>). However, the age of onset, as reported in DiabCare study (N=1,005), is 41.25 (13.69) years (<xref ref-type="bibr" rid="B46">46</xref>). Older age is consistently identified as a risk factor for T2DM in the Algerian population (<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B55">55</xref>). As to gender, we observed a mixed effect. While large screening and case-control studies observed no gender difference in the prevalence of T2DM (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B54">54</xref>), other studies reported either male (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B42">42</xref>) or female (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B58">58</xref>) predominance. Nevertheless, compared to other Middle-East and North Africa (MENA) countries, the Algerian population with diabetes had the lowest male ratio (0.94) (<xref ref-type="bibr" rid="B61">61</xref>). We also observed an age-gender interaction, with females incurring a higher burden at a younger age (<xref ref-type="bibr" rid="B49">49</xref>). These data are highly valuable in designing targeted strategies.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Other social determinants</title>
<p>A few studies explored the other social determinants of diabetes in Algeria. Data before 2010 showed a higher risk of T2DM among urban residents (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B29">29</xref>). Subsequent data show that rural residents experience equivalent burden, denoting a change in the lifestyle (<xref ref-type="bibr" rid="B31">31</xref>). Consistently, while T2DM used to be more frequent among high economic class groups (<xref ref-type="bibr" rid="B29">29</xref>), more recent studies showed a higher burden associated with low economic status, in addition to lower education and higher number of children (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B54">54</xref>). These indicators suggest a change in T2DM epidemiology towards most disadvantaged groups, especially given their lower access to healthcare. In the study by Belmokhtar et&#xa0;al., not having a health insurance registration was found to be a significant risk factor for diabetes (<xref ref-type="bibr" rid="B47">47</xref>).</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Nutritional and lifestyle factors</title>
<p>In the absence of longitudinal or population-based studies, several hospital-based studies have explored the association of T2DM with nutritional and lifestyle factors. The risk of T2DM is associated with sedentary lifestyle and poor dietary habits, including irregular, high-calory meals, lower meal frequency, and higher fat consumption; all being associated with increased body mass index (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B58">58</xref>). This is consistent with suboptimal dietary habits and physical activity among the Algerian population, as reported in the 2016-2017 StepWise study (<xref ref-type="bibr" rid="B33">33</xref>). Another case-control study by Behar et&#xa0;al. showed an association of T2DM with both high and low dietary selenium (<xref ref-type="bibr" rid="B57">57</xref>). Smoking rates varied largely across studies (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B62">62</xref>); however, Algerian patients with diabetes showed to have the lowest rates of active smoking (6.6%), compared to other MENA countries (<xref ref-type="bibr" rid="B61">61</xref>).</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Systemic conditions and metabolic risk factors</title>
<p>Up to 74.1% of Algerian patients with diabetes were found to be overweight or obese, while abdominal obesity was found in 93.5% (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B58">58</xref>). Several other studies reported high BMI, waist circumference and waist-to-hip ratio as risk factors for T2DM (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B49">49</xref>). These figures are relatively higher than those in the general population, where overweight and obesity were found in approximately 56% of the surveyed individuals in 2016-2017 (<xref ref-type="bibr" rid="B33">33</xref>). Overweight and obesity were further associated with poorer glycemic control and more disturbed lipid profile, thereby increasing the cardiovascular risk (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B55">55</xref>). This cmorbid association highlights the need for targeted interventions focusing on weight control and metabolic risk reduction are essential to improve glycemic control and reduce the overall T2DM burden.</p>
<p>Hypertension and dyslipidemia were also associated with T2DM (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B53">53</xref>). Furthermore, while T2DM prevalence increases dramatically in hypertensive patients, reaching 46%, this association is compounded by a poorer cardiac function (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B63">63</xref>). The strong association between hypertension and T2DM, along with its impact on cardiac function, highlights the importance of systematic cardiovascular screening and early intervention.</p>
<p>Another comorbid association that is worth mentioning is depression (<xref ref-type="bibr" rid="B51">51</xref>). However, psychiatric comorbidity and psychological wellbeing constitute an unexplored area among Algerian patients with diabetes. This suggests an urgent need for further research and the incorporation of psychological assessments into diabetes care.</p>
<p>Addressing these comorbidities through multidisciplinary strategies will not only enhance patient outcomes but also reduce the overall healthcare burden of T2DM in Algeria.</p>
</sec>
<sec id="s4_5">
<label>4.5</label>
<title>Genetic and environmental factors</title>
<p>Data regarding genetic and environmental factors of diabetes in Algeria are very scarce, representing an extensive area for exploration via clinical, epidemiological, and environmental research. A study by Ouhaibi et&#xa0;al. explored the polymorphism of TCF7L2rs7903146 among a sample of 787 individuals and found that the T allele of the rs7903146 single nucleotide was associated with a 1.55-fold risk of T2DM. Additionally, the study identified a gene-diet interaction, where high dessert and milk intake further increased the risk of T2DM among T allele carriers (<xref ref-type="bibr" rid="B50">50</xref>). Another case-control study found up to 12.6-fold risk of diabetes associated with chlorinated persistent organic pollutants (<xref ref-type="bibr" rid="B59">59</xref>).</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Diabetes management indicators in Algeria</title>
<sec id="s5_1">
<label>5.1</label>
<title>Advances in diabetes care since 1962</title>
<p>In an interesting review published in a local medical journal &#x2018;<italic>Les Cahier du Praticien&#x2019;</italic>, Belhaj provided insights on the progression of diabetes management in Algeria, over the 60 years following the independence (<xref ref-type="bibr" rid="B64">64</xref>). The number of healthcare facilities has increased, reaching 15 university hospital centers and numerous public hospitals. This was associated with a substantial expansion of the private sector, where over 70% of patients with diabetes received treatment. Specialized private clinics have become crucial in diabetes management, suggesting potential for public-private collaboration. The country has also progressed in training diabetologists, although challenges like the &#x2018;brain drain&#x2019; phenomenon persist. Efforts in continuing medical education have shown improvements in physicians&#x2019; knowledge and practices. Therapeutically, several improvements have been achieved along with advances in monitoring techniques like HbA1c measurement. However, the adoption of more recent therapies like insulin pumps and innovative medications has been slow, often hindered by high costs and lack of social security coverage.</p>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>Progression of prescribing practices</title>
<p>Very few publications explored the prescribing practices in T2DM in Algeria. This lack of data prevented from identifying accurate patterns and trends. The 2010 DiabCare series showed that approximately 45% of T2DM were on insulin, either alone (20%) or in association with an oral hypoglycemic drug (OHD, 26%). The most prescribed OHDs were biguanides (63.5%), sulphonylureas (SU) (44%), and meglitinides (6.7%). On the other hand, lifestyle and dietary measures were prescribed in 63% of the patients (<xref ref-type="bibr" rid="B46">46</xref>). The nationwide Barometer study (2013-2017) showed the predominance of OHD (85.4%), both in mono (44.3%) and bi-therapy (50.3%). The combination of metformin (Met) with insulin secretagogues (SU or glinides) was the most common (46.4%). Authors noted that no patient received dipeptidyl peptidase IV (DPP-4) inhibitors, glucagon-like peptide-1 receptor agonists (GLP-1 RA), or sodium/glucose cotransporter 2 (SGLT2) inhibitors (<xref ref-type="bibr" rid="B21">21</xref>). Another interesting insight was provided by baseline data from the DISCOVER study, an international prospective study launched in 2014, which involved 293 Algerian patients with diabetes recruited from 14 different sites nationally. The patterns of first- and second-line treatments were examined. In terms of first line therapy, the majority of patients (77.5%) received Met as a monotherapy, a small proportion (3.8%) received SU alone, while approximately 17% received a combination of Met with SU or another drug. In second line therapy, the most commonly prescribed treatment was Met+SU (35.8%), followed by Met + another medication (27.6%). Of note, 8.5% of patients were administered insulin, which could also be accompanied by oral therapy (<xref ref-type="bibr" rid="B65">65</xref>). In 2016, Ferdi et&#xa0;al. confirmed that the most common treatment prescribed for T2DM in Algeria was Met (65%) (<xref ref-type="bibr" rid="B54">54</xref>). It is worth noting that the prescribing practice is conditioned by the availability and reimbursement of the drugs.</p>
</sec>
<sec id="s5_3">
<label>5.3</label>
<title>Efficacy and safety data</title>
<p>Besides the paucity of studies, majority of real-world efficacy and safety data in Algeria concerned insulin. According to local practice, insulin is generally started in case of poor glycemic control or microvascular complications (<xref ref-type="bibr" rid="B66">66</xref>). Initiation of long-acting insulin among insulin-na&#xef;ve patients on OHD failure improved glycemic control and reduced HbA1c levels, while mitigating hypoglycemia events (<xref ref-type="bibr" rid="B67">67</xref>). Similarly, the conversion from human to analogous insulin enabled better glycemic control and reduction of hypoglycemia events (<xref ref-type="bibr" rid="B68">68</xref>). In 2013, several sub-analyses studies of the A1chive project demonstrated the safety of insulin among Algerian T2DM patients and its effectiveness in improving glycemic control using various regimens (<xref ref-type="bibr" rid="B69">69</xref>&#x2013;<xref ref-type="bibr" rid="B71">71</xref>). In 2015, an open-label multicenter randomized trial, Malek et&#xa0;al. compared the effectiveness of stepwise insulin intensification using basal-bolus insulin analogues (insulin detemir and aspart) versus biphasic insulin aspart 30 in insulin-naive T2DM patients in failure of OHDs. After 50 weeks of treatment, reductions in HbA1c levels were similar in the two regimens, as well as the incidence of hypoglycemia and other safety variables (<xref ref-type="bibr" rid="B72">72</xref>).</p>
<p>Furthermore, in Muslim countries like Algeria, the prescribing and monitoring of insulin pose further efficacy and safety concerns during Ramadan fasting. A multinational randomized trial compared the efficacy and safety of insulin degludec/insulin aspart (IDegAsp) with biphasic insulin aspart 30 (BIAsp 30) in patients with T2DM who fasted during Ramadan. Findings suggested that IDegAsp presents a lower risk of hypoglycemia for patients requiring insulin during Ramadan and beyond (<xref ref-type="bibr" rid="B73">73</xref>).</p>
</sec>
<sec id="s5_4">
<label>5.4</label>
<title>Levels of diabetes control</title>
<p>In 2004, severe outcomes were frequent among patients with uncontrolled diabetes, notably upper extremity infections, leading to death or amputations in many cases (<xref ref-type="bibr" rid="B44">44</xref>). Subsequent reports consistently showed inadequate glycemic control. In the DiabCare series, only 19% of the patients reached the target HbA1C (<xref ref-type="bibr" rid="B46">46</xref>). Data from the Barometer study (2013-2017) showed that as high as 64.6% of the patients had poor glycemic control indicated by HbA1c &#x2265;7% and 20.1% had levels above 9% (<xref ref-type="bibr" rid="B21">21</xref>). More recent data, by Rahmoun et&#xa0;al. (<xref ref-type="bibr" rid="B74">74</xref>), showed an average blood glucose level of 206 mg/dL, with an average HbA1c of 8.2%, indicating suboptimal control (<xref ref-type="bibr" rid="B74">74</xref>). A similar trend was observed in female patients with diabetes, with Behar et&#xa0;al. (<xref ref-type="bibr" rid="B57">57</xref>) reporting an average HbA1c of 8.40% (<xref ref-type="bibr" rid="B57">57</xref>). Hacene et al. emphasized that non-adherence to insulin and poor self-monitoring of blood glucose (SMBG) practices were significant contributors to poor glycemic control (<xref ref-type="bibr" rid="B75">75</xref>).</p>
</sec>
<sec id="s5_5">
<label>5.5</label>
<title>Treatment compliance, self-management and patients&#x2019; education</title>
<p>Non-adherence rates of 31.3% and 36.5% were documented in studies conducted by (<xref ref-type="bibr" rid="B76">76</xref>) in 2019 and Hacene et al. in 2022, respectively (<xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B76">76</xref>). Several factors were incriminated, such as lack of health insurance, poor self-monitoring, and disease duration of over six years. Consistently, two-third of the patients are reported to practice SMBG (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B77">77</xref>). However, a national survey by the WHO (2016-2017) suggested lower adherence to regular SMBG, with only half of the patients having ever measured their blood glucose (<xref ref-type="bibr" rid="B78">78</xref>).</p>
<p>Lifestyle management and patient education are areas that need significant research attention. A study by Thanopoulou et&#xa0;al. (<xref ref-type="bibr" rid="B79">79</xref>) found that only a small fraction of Algerian T2DM patients meet nutritional or exercise recommendations (<xref ref-type="bibr" rid="B79">79</xref>). From another perspective, Belheddad and Azzoug (<xref ref-type="bibr" rid="B80">80</xref>) found that around half of T2DM patients received pre-Ramadan diabetes self-management education (<xref ref-type="bibr" rid="B80">80</xref>).</p>
<p>Finally, the use of traditional medicine is reported to be a common practice among T2DM patients in Algeria, requiring particular attention (<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B82">82</xref>), raising concerns of adverse herb-drug interactions (<xref ref-type="bibr" rid="B83">83</xref>).</p>
</sec>
</sec>
<sec id="s6">
<label>6</label>
<title>Health and economic burdens of T2DM in Algeria</title>
<sec id="s6_1">
<label>6.1</label>
<title>Health status at diagnosis as a reflection of diagnosis earliness</title>
<p>The health status of T2DM patients in Algeria was assessed in the large-scale screening campaign by Malek et&#xa0;al. (<xref ref-type="bibr" rid="B30">30</xref>). The prevalence of undiagnosed T2DM was 5.3%, associated with high frequencies of complications and comorbidities such as renal failure (15%), retinopathy (12.5%), and peripheral neuropathy (10%). Additionally, 11% of these individuals had abnormal EKG and comorbid dyslipidemia, hypertension, and obesity were found in more than 50% of these patients (<xref ref-type="bibr" rid="B30">30</xref>). Another interesting study showed that ketosis, diabetes foot, and cardiovascular events were the presenting signs for diabetes in 15.3%, 1.5% and 3.4% of the patients. Additionally, estimation of the cardiovascular risk showed that 36.7% had an intermediate and 37.7% had high-to-very high risk (<xref ref-type="bibr" rid="B84">84</xref>).</p>
</sec>
<sec id="s6_2">
<label>6.2</label>
<title>Hypoglycemia burden</title>
<p>The incidence of hypoglycemia events is high among Algerian T2DM patients. In 2019, Sellam et&#xa0;al. showed that non-severe nocturnal hypoglycemic events (NSNHEs), non-severe hypoglycemic events (NSHEs), and severe hypoglycemic events (SHEs) occurred at the respective rates of 9.8, 30.5, and 0.3 events per patient-year (<xref ref-type="bibr" rid="B85">85</xref>). More recently, Mimoune et&#xa0;al. (<xref ref-type="bibr" rid="B62">62</xref>) reported hypoglycemia events among 29.5% of the patients, with the main risk factors being insulin regimens combining basal insulin and rapid-acting insulin, along with absence of self-monitoring (<xref ref-type="bibr" rid="B77">77</xref>). Both severe and non-severe hypoglycemia events were demonstrated by the DAWN2 study to impact patients&#x2019; wellbeing and overall quality of life. Notably, participants who had experienced SHE reported more discrimination feelings because of their condition with diabetes; however, they acknowledged receiving higher levels of support for managing their condition (<xref ref-type="bibr" rid="B86">86</xref>).</p>
</sec>
<sec id="s6_3">
<label>6.3</label>
<title>Other diabetes complications</title>
<p>Regarding the other complications of T2DM, the available data is highly heterogeneous, probably due to the varying stage at which patients were assessed, along with the variability in the diagnostic criteria. The reported frequency of diabetic retinopathy varies from 12.5% to 68% (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B87">87</xref>, <xref ref-type="bibr" rid="B88">88</xref>), while that of neuropathy varies from 2.8% to 46.2% (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B87">87</xref>, <xref ref-type="bibr" rid="B89">89</xref>), while diabetic nephropathy was reported in up to 7.5% of the patients (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B87">87</xref>). In evaluating the cardiovascular risk, Boukheloua et&#xa0;al. identified diabetes as an independent factor for severe coronary lesion with an OR of 1.92 (<xref ref-type="bibr" rid="B90">90</xref>).</p>
<p>Mimoune et&#xa0;al. (<xref ref-type="bibr" rid="B62">62</xref>) evaluated peripheral arterial disease in 47 T2DM patients in Constantine. They observed a high prevalence of peripheral artery disease (80.85%) with various presentations, such as obliterating arteriopathy of the lower limbs (57.45%), media calcinosis (42.55%), and acute arterial occlusion (21.28%). The study also reported a neuropathy prevalence of 46.81%, and all the patients (100%) presented varying stages of diabetic foot (<xref ref-type="bibr" rid="B62">62</xref>). Notwithstanding the methodological limitations of the previous study, such complications are likely to be more prevalent in patients with inadequate glycemic control. In a series by Ayad et&#xa0;al. (<xref ref-type="bibr" rid="B87">87</xref>), which involved 310 patients (172 T2DM and 138 T1DM) with poor glycemic control, the frequency of coronary artery disease and retinopathy was reported equally in 20% of the patients, besides a high frequency of peripheral neuropathy (42.5%) (<xref ref-type="bibr" rid="B87">87</xref>). Another interesting data is reported by Belhadj et&#xa0;al., which included 1,974 T2DM patients who were inadequately controlled on OHDs. Authors reported as high as 59.7% frequency of macrovascular complications, of which 6.8% were coronary artery disease, noting that 31% of the patients had at least one comorbidity (<xref ref-type="bibr" rid="B67">67</xref>).</p>
<p>Published data consistently point towards a high prevalence of peripheral neuropathy and neuropathic pain among Algerian patients with diabetes. Malek et&#xa0;al. (<xref ref-type="bibr" rid="B30">30</xref>) reported a striking 75% prevalence of neuropathy (<xref ref-type="bibr" rid="B30">30</xref>), which is consistent with data by Aouiche et&#xa0;al. (<xref ref-type="bibr" rid="B89">89</xref>) reporting a prevalence of 68% (<xref ref-type="bibr" rid="B89">89</xref>). However, Maamar et&#xa0;al. (<xref ref-type="bibr" rid="B91">91</xref>), reported a lower prevalence of peripheral neuropathy of 46.2% of the population with diabetes (<xref ref-type="bibr" rid="B91">91</xref>). This complication is associated with a high risk of neuropathic pain, as demonstrated by Ayad et&#xa0;al. (<xref ref-type="bibr" rid="B87">87</xref>), who highlighted painful neuropathy in 46% of the patients (<xref ref-type="bibr" rid="B87">87</xref>). This is corroborated by Nibouche-Hattab&#x2019;s data showing a painful neuropathy among 45% of newly diagnosed T2DM patients (<xref ref-type="bibr" rid="B84">84</xref>).</p>
<p>Regarding diabetic foot, Benotmane et&#xa0;al. (<xref ref-type="bibr" rid="B44">44</xref>) found a 26.4% rate of microvascular complications, often a precursor to diabetic foot (<xref ref-type="bibr" rid="B44">44</xref>). Conversely, Zaoui S et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>) analyzed a larger demographic in Tlemcen, reporting an 8.2% occurrence of foot lesions and 0.7% of amputations (<xref ref-type="bibr" rid="B24">24</xref>). A higher prevalence (22.15%) was observed by Bounihi et al. in Algiers, albeit in a controlled sample of 130 individuals (<xref ref-type="bibr" rid="B58">58</xref>). In contrast, Ayad et&#xa0;al. (<xref ref-type="bibr" rid="B87">87</xref>), recorded the lowest prevalence of 1.5% among a larger sample in Oran, focusing on poorly controlled patients with diabetes (<xref ref-type="bibr" rid="B87">87</xref>).</p>
</sec>
<sec id="s6_4">
<label>6.4</label>
<title>Mortality data</title>
<p>According to the Global Burden of Disease data, T2DM was associated with 12.73 per 100,000 deaths in Algeria, in 2019. Additionally, between 1990 and 2019, T2DM rank passed from 17<sup>th</sup> to the 9<sup>th</sup> rank of mortality causes in the Algerian population (<xref ref-type="bibr" rid="B92">92</xref>). No further T2DM associated mortality data are found in the Algerian literature.</p>
</sec>
<sec id="s6_5">
<label>6.5</label>
<title>Economic burden</title>
<p>Accurate estimates of T2DM economic costs in Algeria are yet to be determined. One study has estimated the national economic burden of T2DM at 45 Bn DZD (60 060 DZD per patient), 58% of which was spent on complications&#x2019; management while the medication costs accounted for 34% (<xref ref-type="bibr" rid="B25">25</xref>). Another study by Sellam et&#xa0;al. estimated the economic cost of insulin-related hypoglycemia in Algerian adults with T1DM and T2DM at DZD 42.9 billion (USD 334 million), with T2DM accounting for 74%. Of the total, direct costs were estimated to be DZD 8.73 million (USD 68.1 million), while indirect costs related to productivity loss were DZD 34.2 billion (USD 265.6 million). This translated to a total 4,769,874 patient-productivity days lost (<xref ref-type="bibr" rid="B85">85</xref>). No further data was found regarding the economic burden of T2DM in Algeria.</p>
</sec>
</sec>
<sec id="s7" sec-type="discussion">
<label>7</label>
<title>Discussion</title>
<sec id="s7_1">
<label>7.1</label>
<title>Lessons learned from epidemiological data</title>
<p>We observed a great heterogeneity in the methodologies employed in epidemiological studies, which introduces variability in reported prevalence rates. However, figures are obviously on the rise, as demonstrated by the WHO StepWise surveys showing an increase from 8.9% in 2003 to 14.4% in 2016-2017 (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B33">33</xref>), a growth of almost 75%. Compared to the other MENA countries, Algeria was ranked 14<sup>th</sup> in terms of T2DM prevalence, in 2014 (<xref ref-type="bibr" rid="B93">93</xref>). In the African continent, data from 1980-2014 show a substantial increase in the age-standardized prevalence of adult diabetes and BMI in all countries, including Algeria. By focusing on 2014, Algeria&#x2019;s figures were the highest compared to the other African countries (<xref ref-type="bibr" rid="B94">94</xref>). On the other hand, the prevalence trends observed in our data compare relatively well with those available in the Global Burden of Disease database (GBD) (<xref ref-type="bibr" rid="B92">92</xref>). We note, however, lower figures (roughly 7% versus 15%) in the GBD estimates for the period 2015-2020, compared with our data, respectively. This low rate is inconsistent with the findings from the second StepWise survey, which found a prevalence of 14.40% (<xref ref-type="bibr" rid="B33">33</xref>), indicating that our estimates are more accurate.</p>
<p>It is worth mentioning that Algeria, among other emerging countries, is undergoing demographic and lifestyle changes that potentially escalate the risk of T2DM. Predictive models forecast a substantial rise in T2DM prevalence in the coming decades in Algeria and other MENA countries. The number of people with diabetes is estimated to rise by 143% in Africa and 96% in the MENA region by 2045, representing the highest trends globally (<xref ref-type="bibr" rid="B95">95</xref>). From a public health perspective, this increase underscores the need for Algeria and its MENA counterparts to prioritize diabetes prevention and management strategies. This predicts an imminent strain on healthcare infrastructure and resources, requiring proactive policy measures and investments in health systems to cope with the anticipated demand. Furthermore, these findings underscore the importance of regional collaboration to address the growing burden of the disease.</p>
<p>Nevertheless, we note an important discrepancy in the estimates, especially across the different population-based studies. This is more notable considering the very low prevalence rates (3.9% among adults) reported by the 2013 MOH-UNICEF- UNFPA study (<xref ref-type="bibr" rid="B31">31</xref>), which are inconsistent with the trending rates in the same period.</p>
</sec>
<sec id="s7_2">
<label>7.2</label>
<title>Profiling the Algerian T2DM patient</title>
<p>The present systematic analysis revealed several socioeconomic determinants and risk factors associated with T2DM in Algeria. Diabetes onset typically presents in an overweight, quadragenarian female or male, likely having poor dietary and lifestyle habits and accumulating other metabolic and cardiovascular risk factors. Low economic class and lower education, besides lack of health insurance registration, further contribute to increased T2DM risk among disadvantaged groups, exacerbating health inequities. Comorbidities such as depression and genetic and environmental factors are poorly explored and appear to play a role in the disease. Considering these factors are vital in elaborating targeted interventions to effectively combat T2DM and its associated burdens among the Algerian population. Furthermore, due to the scarcity of data and limited research locally, there is a pressing need for further investigation to comprehensively understand the risk factors of T2DM in Algeria.</p>
</sec>
<sec id="s7_3">
<label>7.3</label>
<title>Opportunities to improve T2DM management</title>
<p>The present project aims to propel the implementation of a national plan for the primary prevention of diabetes. Thanks to governments&#x2019; efforts, including continuing medical education and screening programs, the number of undiagnosed patients has significantly decreased over the past decades. Nevertheless, there remains a critical need to promote secondary and tertiary prevention, as well as management and screening of comorbidities associated with diabetes (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B96">96</xref>&#x2013;<xref ref-type="bibr" rid="B98">98</xref>). This is evidenced by the significant health and economic burdens associated with the complications of diabetes (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B87">87</xref>, <xref ref-type="bibr" rid="B89">89</xref>&#x2013;<xref ref-type="bibr" rid="B91">91</xref>). That being said, an effective approach involves a multi-faceted strategy that encompasses enhancing care delivery, patient education, and public awareness, as well as improving access to new multipotent drugs.</p>
<p>Prevention strategies should be strengthened through systematic screening programs in primary care centers, pharmacies, and workplaces, targeting high-risk populations. Secondary and tertiary prevention should also be considered. Standardized national guidelines for early detection and management of complications such as neuropathy, nephropathy, and cardiovascular disease are essential to reduce long-term morbidity. Additionally, integrating multidisciplinary care teams, including endocrinologists, cardiologists, nephrologists, ophthalmologists, and nutritionists, can enhance comprehensive diabetes management and improve patient outcomes.</p>
<p>Patient education should be a priority action through structured diabetes education programs that can be delivered via community-based and or digital platforms, focusing on lifestyle modification, medication adherence, and self-monitoring. Culturally tailored educational materials in Arabic and Berber languages, incorporating local dietary habits, can enhance patient engagement and compliance. Additionally, expanding peer support networks and involving community health workers in self-care education can further empower patients in managing their condition effectively.</p>
<p>Furthermore, our review of prescribing practices revealed underutilization of some hypoglycemic agents, particularly those in the SGLT2 inhibitor and GLP-1 receptor agonist classes (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B65">65</xref>). The application of international recommendations advocating prescribing practices tailored to the patient&#x2019;s profile is essential. However, to sustain this measure, it is crucial to ensure broader coverage of modern antidiabetic medications with proven cardiovascular and renal benefits. It is also relevant to consider health insurance policy reform, focusing on the role of private insurance in bridging the gap in the universal health coverage system and improving access to treatment (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B99">99</xref>).</p>
<p>Another measure to improve the management of T2DM is to encourage the homogenization and accreditation of continuing education of healthcare professionals, notably to improve practices and foster multidisciplinary care (<xref ref-type="bibr" rid="B100">100</xref>). The involvement and training of community healthcare workers in diabetes management is increasingly recommended to enhance case detection and glycemic control and reduce cardiovascular morbidity, especially in underserved areas (<xref ref-type="bibr" rid="B101">101</xref>).</p>
<p>These measures necessitate a data-driven and research-based strategy, coupled with a patient-centered approach to optimize their impact on patients&#x2019; physical and overall wellbeing (<xref ref-type="bibr" rid="B102">102</xref>&#x2013;<xref ref-type="bibr" rid="B104">104</xref>). Such comprehensive strategy should yield evidence-based recommendations specifically tailored to the Algerian context for optimal results.</p>
</sec>
<sec id="s7_4">
<label>7.4</label>
<title>Addressing knowledge gap to further improve T2DM management</title>
<p>A major limitation in T2DM research in Algeria is the high heterogeneity in methodologies used and the evident absence of incidence data, which is critical for predicting future disease burden, optimizing resource allocation, and designing targeted interventions for high-risk populations. Moreover, the lack of systematic data on the interplay of these determinants with genetic and environmental determinants hinders the development of tailored prevention strategies. Without such data, it is difficult to monitor the impact of preventive measures and address health inequalities and other social determinants of diabetes. Addressing these gaps requires comprehensive, population-based studies that explore the multifactorial nature of T2DM in Algeria.</p>
<p>Furthermore, mortality data specific to T2DM in Algeria are largely absent, with available estimates relying on the Global Burden of Disease database (<xref ref-type="bibr" rid="B92">92</xref>). Similarly, the economic burden of T2DM is inadequately quantified, likely leading to an underestimation of its healthcare and societal costs. Understanding these aspects through well-designed epidemiological and health economics studies is crucial for improving T2DM care and policy formulation.</p>
<p>The clinical data of T2DM management in Algeria also has significant limitations. There is a lack of real-world evidence on the efficacy and safety of antidiabetic treatments, especially OHDs and newer antidiabetic agents, limiting the ability to optimize treatment strategies based on local patient populations. Additionally, data on treatment outcomes, including glycemic control, adherence, and self-management, are scarce, making it difficult to assess the effectiveness of current management approaches. Similarly, data on adherence and efficacy of lifestyle interventions have not been sufficiently studied in Algeria, with an absence of interventional and long-term cohort studies evaluating their impact. Finally, the available data on T2DM complications are heterogeneous, likely due to variability in diagnostic criteria and differences in disease stage at the time of assessment.</p>
<p>Addressing these knowledge gaps requires comprehensive epidemiological and clinical research initiatives. National registries, longitudinal cohort studies, and real-world treatment outcome assessments are essential to generating reliable data for guiding public health policies and improving patient care. Strengthening research infrastructure and fostering collaboration between healthcare institutions, academic centers, and policymakers will be key to advancing T2DM management in Algeria.</p>
</sec>
</sec>
<sec id="s8" sec-type="conclusions">
<label>8</label>
<title>Conclusion</title>
<p>This comprehensive review on T2DM care in Algeria reveals a multifaceted challenge. Despite the increasing burden of T2DM, the country&#x2019;s healthcare approach remains suboptimal. The escalating prevalence of diabetes and obesity in Algeria underscores an urgent need for action. Immediate attention is required, as current data and alarming future predictions emphasize the necessity of effective preventive strategies. Primary prevention programs are imperative to counteract this growing pandemic, necessitating strong political commitment to promote significant lifestyle modifications, with a particular focus on nutrition, physical activity, and widespread awareness.</p>
<p>To optimize diabetes management in Algeria, a comprehensive transformation of healthcare organization is imperative. This entails enhancing prescription practices through continuous education for healthcare professionals. Digitizing medical records is crucial for improved patient management, while optimizing resource utilization requires defining clear priorities and objectives. Additionally, providing personalized and rational access to new therapies, despite their high costs, is essential. Supporting these initiatives necessitates diversifying healthcare financing sources, potentially integrating private insurance, mutual funds, and workers&#x2019; social funds. This approach ensures equitable access to healthcare and treatments, fostering a more effective and sustainable diabetes care system.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="author-contributions">
<title>Author contributions</title>
<p>MBe: Conceptualization, Formal analysis, Methodology, Project administration, Resources, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. RM: Conceptualization, Data curation, Formal analysis, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Project administration, Resources, Supervision, Validation. HB: Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MBo: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Project administration, Resources, Supervision, Validation. ZA: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. NN: Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources. MA: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. FS: Conceptualization, Data curation, Methodology, Project administration, Resources, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MH: Conceptualization, Data curation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Formal analysis, Investigation.</p>
</sec>
<sec id="s10" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec id="s11" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>FS was employed by Hikma Pharma.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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