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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1541005</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1541005</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Post-marketing safety re-evaluation of placental peptide injection in China: a large-scale multicenter real-world study</article-title>
<alt-title alt-title-type="left-running-head">Duan et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2025.1541005">10.3389/fphar.2025.1541005</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Duan</surname>
<given-names>Liguang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>An</surname>
<given-names>Feiyue</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Tian</surname>
<given-names>Chen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Yan</surname>
<given-names>Wen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Hongyin</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Xiaoguang</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Lingjiao</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Zhuo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tong</surname>
<given-names>Binliang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhou</surname>
<given-names>Chunhua</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Pharmacy Department</institution>, <institution>The First Hospital of Hebei Medical University</institution>, <addr-line>Shijiazhuang</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Pharmaceutical Department</institution>, <institution>Kunming Third People&#x2019;s Hospital</institution>, <addr-line>Kunming</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Pharmacy Department</institution>, <institution>Yunnan Cancer Hospital</institution>, <addr-line>Kunming</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Beijing Dehuijia Pharmaceutical Technology Co., Ltd.</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Clinical Pharmacy</institution>, <institution>The First Hospital of Hebei Medical University</institution>, <addr-line>Shijiazhuang</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1543826/overview">Shusen Sun</ext-link>, Western New England University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1512658/overview">Xiao Li</ext-link>, Shandong Provincial Qianfoshan Hospital, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2922879/overview">Alfonso Noguera</ext-link>, Complutense University of Madrid, Spain</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Zhuo Zhang, <email>zhangzhuo790119@163.com</email>; Binliang Tong, <email>18633885558@163.com</email>; Chunhua Zhou, <email>zhouchunhua08@126.com</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1541005</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>12</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Duan, An, Tian, Yan, Chen, Zhang, Liu, Wang, Zhang, Tong and Zhou.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Duan, An, Tian, Yan, Chen, Zhang, Liu, Wang, Zhang, Tong and Zhou</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>Purpose</title>
<p>This study conducted a post-marketing safety re-evaluation of placental polypeptide injections in China to support updates to drug guidelines, pharmacovigilance efforts, and rational clinical use, facilitating its inclusion in essential drug lists and medical insurance coverage.</p>
</sec>
<sec>
<title>Methods</title>
<p>A hospital-based centralized monitoring system tracked 3,000 patients receiving placental polypeptide injections across three medical institutions. Adverse drug reactions (ADRs) and adverse drug events (AEs) were systematically collected and analyzed.</p>
</sec>
<sec>
<title>Results</title>
<p>The mean patient age was 49.65 years, with 96.47% being over 18 years of age. A single dose exceeding 4&#xa0;mL was administered in 98.34% of the cases, with a median treatment duration of 7 days. Concomitant medication use was high (injectable, 98.43%; non-injectable, 75.43%). One case of vertigo was reported as an ADR in a patient aged &#x3e;60 years who had melanoma.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The ADR rate was 0.03%, confirming the favorable safety profile of placental polypeptide injection. These findings support its safe clinical use and can inform future regulatory and policy decisions.</p>
</sec>
</abstract>
<kwd-group>
<kwd>real-world study</kwd>
<kwd>placental peptide injection</kwd>
<kwd>post-marketing safety re-evaluation</kwd>
<kwd>adverse drug reactions</kwd>
<kwd>centralized hospital monitoring method</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Drugs Outcomes Research and Policies</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>The human placenta, known as ZiheChe in Traditional Chinese Medicine (TCM), has been used medicinally for centuries because of its ability to nourish <italic>qi</italic>, blood, and essence, as well as its effects on the lung, heart, and kidney meridians (<xref ref-type="bibr" rid="B21">Wang et al., 2020</xref>). In modern clinical practice, placental polypeptide injection, a bioactive extract derived from the healthy human placenta, is widely used in China for the treatment of tumors, immune dysfunction, leukopenia, and other conditions.</p>
<p>Pharmacological studies have shown that placental polypeptide injections contain essential amino acids, active peptides, proteins, lipid fatty acids, nucleic acids, various growth factors and cytokines (<xref ref-type="bibr" rid="B25">Ye, 2002</xref>). Placental polypeptides are small functional peptides ranging from 3,000 to 5,000&#xa0;Da in molecular weight, extracted, and purified using advanced biotechnological methods (<xref ref-type="bibr" rid="B26">Yuan et al., 2006</xref>; <xref ref-type="bibr" rid="B19">Tseng et al., 2012</xref>; <xref ref-type="bibr" rid="B1">Abd-Allah et al., 2015</xref>). These bioactive components play crucial roles in improving cellular immune function, scavenging free radicals, preventing peroxidation, and promoting the survival, proliferation, and differentiation of hematopoietic cells in the bone marrow. Placental polypeptides also enhance the activation and regulation of natural killer (NK) cells and T lymphocytes, thereby strengthening immune surveillance, cell-mediated immunity, and immune homeostasis (<xref ref-type="bibr" rid="B6">Fan and Fu, 2016</xref>). Furthermore, they mitigate bone marrow suppression caused by chemotherapy by promoting hematopoietic cell proliferation, reducing apoptosis, and improving hematopoietic function (<xref ref-type="bibr" rid="B11">Han, 2024</xref>). Owing to its demonstrated clinical efficacy, strong compatibility, affordability, and ability to alleviate economic burdens on patients, placental polypeptide injection has been widely applied in oncology, immunodeficiency disorders, leukopenia, and postoperative recovery from fractures (<xref ref-type="bibr" rid="B23">Yang, 2014</xref>). Previous studies, including a retrospective safety evaluation, reported no adverse reactions associated with its use, further supporting its clinical safety profile (<xref ref-type="bibr" rid="B17">Ou et al., 2020</xref>).</p>
<p>Despite these findings, there remains a critical need for comprehensive post-marketing safety evaluation of placental polypeptide injections. Traditional clinical trials are often limited by controlled conditions, small sample sizes, and restricted patient populations, which make it difficult to capture the full spectrum of drug safety in real-world settings. In contrast, real-world research (RWR) provides broader data sources, more diverse patient populations, and findings that closely reflect the actual clinical practice. The longitudinal nature of real-world studies allows for the collection of long-term outcome data, thereby improving the reliability of safety assessments. To bridge the gap in post-marketing safety data, this study employed a large-scale, multicenter approach to reassess the safety profile of placental polypeptide injection using real-world evidence (RWE). This evaluation will provide critical data to support updates to clinical guidelines, inform revisions to drug labeling, and strengthen evidence-based clinical applications. Additionally, it will contribute to safety monitoring, as placental polypeptide injection is considered for inclusion in essential drug lists, national medical insurance formularies, and centralized procurement policies, ensuring its safe and rational use in clinical practice.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Research design and settings</title>
<p>This study employed a retrospective observational design that utilized centralized hospital-based safety monitoring. A large-scale multicenter surveillance cohort was established to assess the post-marketing safety of placental polypeptide injections. The study was conducted in accordance with the Declaration of Helsinki and Quality Management Standards for Pharmacovigilance to ensure compliance with ethical and regulatory requirements. Patients who received placental polypeptide injections were monitored across three tertiary hospitals: First Hospital of Hebei Medical University, Kunming Third People&#x2019;s Hospital, and Yunnan Cancer Hospital.</p>
</sec>
<sec id="s2-2">
<title>2.2 Data collection and target variables</title>
<p>Data collection was performed using a standardized case report form (CRF), which included the following components: Patient General Information Record Table (Table A), Patient Treatment Drug Information Table (Table B), and Patient Adverse Event Record Table (Table C). The study monitored post-marketing data of placental polypeptide injections, recorded by trained pharmacovigilance researchers.</p>
<p>The key variables included demographic characteristics, medical history, physical examination findings, vital signs, laboratory parameters, therapeutic regimens, and ADRs/AEs. A data collection flowchart is presented in <xref ref-type="fig" rid="F1">Figure 1</xref>. All the collected data were submitted to a post-market surveillance database for further analysis.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flow chart of data collection.</p>
</caption>
<graphic xlink:href="fphar-16-1541005-g001.tif"/>
</fig>
<p>The primary endpoints were the incidence and severity of ADRs and AEs. ADR was defined as any harmful response to a medicinal product occurring at normal therapeutic doses, and was not intended as part of the therapeutic effect. AEs were characterized as any untoward medical occurrence during treatment, regardless of their causal relationship with the investigational product. The severity of ADRs and AEs was evaluated using the Common Terminology Criteria for Adverse Events (CTCAE v5.0) version 5.0, established by the National Cancer Institute (NCI), in conjunction with the guidelines from the National Center for Adverse Drug Reactions&#x2019; ADR Reporting and Monitoring Workbook. Assessments of ADR/AE severity were conducted by experienced healthcare professionals at each participating institution.</p>
</sec>
<sec id="s2-3">
<title>2.3 Statistical analysis</title>
<p>The study utilized a single analysis set, the Primary Analysis Set (PAS), which included all the enrolled patients who received at least one dose of the study drug. All statistical analyses were performed using the SAS software (version 9.4). Continuous variables were summarized using mean, standard deviation, median, interquartile range (IQR), and minimum and maximum values. Categorical variables are presented as frequencies and percentages. Comparisons between groups were conducted using appropriate statistical methods based on the data type. For quantitative data, the paired t-test (for normally distributed data) or Wilcoxon signed-rank test (for non-normally distributed data) was used. For categorical data, the chi-square test or Fisher&#x2019;s exact test was used (if any expected frequency was &#x3c;4). For ordinal data, The Wilcoxon rank-sum test (without center effect correction) or the Cochran-Mantel-Haenszel (CMH) test (with center effect correction) was used. All statistical tests were two-sided with a significance threshold of p &#x3c; 0.05, and results were reported with 95% confidence intervals (CIs).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Baseline characteristics of the study population</title>
<p>The distribution of 3,000 patients across the three monitoring centers was as follows: 1,000 cases were monitored by Center 1 (The First Hospital of Hebei Medical University), 1,682 cases by Center 2 (Kunming Third People&#x2019;s Hospital), and 318 cases by Center 3 (Yunnan Cancer Hospital). No cases of PAS were excluded, and all patients were successfully enrolled.</p>
<p>The baseline characteristics of the patients are summarized in <xref ref-type="table" rid="T1">Tables 1</xref>&#x2013;<xref ref-type="table" rid="T4">4</xref>. The mean age of the patients was 49.65 &#xb1; 17.27 years. Regarding age distribution, 106 (3.53%) patients were aged 0&#x2013;18 years, 948 (31.60%) were aged 18&#x2013;45 years, 1,064 (35.47%) were aged 45&#x2013;60 years, and 882 (29.40%) were aged &#x2265;60 years. Of the total population, 1,723 (57.43%) were male, and 1,277 (42.57%) were female. In terms of ethnicity, 2,731 (91.03%) patients were of the Han ethnicity, while 269 (8.97%) belonged to other ethnic groups. Anthropometric data showed that the mean BMI, calculated from height and weight, was 22.32 &#xb1; 4.10&#xa0;kg/m<sup>2</sup>. The mean body temperature of patients was 36.49&#xb0;C &#xb1; 0.33&#xb0;C, the mean pulse rate was 83.84 &#xb1; 13.84 beats/min, the mean respiration rate was 19.54 &#xb1; 2.03 breaths/min, and the mean systolic blood pressure was 119.27 &#xb1; 15.95&#xa0;mmHg, with a mean diastolic blood pressure of 76.05 &#xb1; 10.65&#xa0;mmHg. Regarding medical history, 1,849 (61.63%) patients had documented medical history, whereas 228 (7.60%) had a history of prior ADRs. Additionally, 1,849 (61.63%) patients presented with comorbidities. The detailed baseline demographic and clinical characteristics are provided in <xref ref-type="table" rid="T1">Tables 1</xref>&#x2013;<xref ref-type="table" rid="T4">4</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Demographic and anthropometric data.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="left">Index</th>
<th align="left">Statistical description</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="5" align="left">Age (years)</td>
<td align="left">n (Missing)</td>
<td align="left">3000 (0)</td>
</tr>
<tr>
<td align="left">Mean (SD)</td>
<td align="left">49.65 (17.27)</td>
</tr>
<tr>
<td align="left">Median</td>
<td align="left">51.27</td>
</tr>
<tr>
<td align="left">Q1, Q3</td>
<td align="left">38.27, 62.95</td>
</tr>
<tr>
<td align="left">Min, Max</td>
<td align="left">54, 93</td>
</tr>
<tr>
<td rowspan="3" align="left">Gender</td>
<td align="left">Male n (%)</td>
<td align="left">1723 (57.43)</td>
</tr>
<tr>
<td align="left">Female n (%)</td>
<td align="left">1277 (42.57)</td>
</tr>
<tr>
<td align="left">Total (Missing)</td>
<td align="left">3000 (0)</td>
</tr>
<tr>
<td rowspan="3" align="left">Ethnicity</td>
<td align="left">Han Chinese n (%)</td>
<td align="left">2731 (91.03)</td>
</tr>
<tr>
<td align="left">Other n (%)</td>
<td align="left">269 (8.97)</td>
</tr>
<tr>
<td align="left">Total (Missing)</td>
<td align="left">3000 (0)</td>
</tr>
<tr>
<td rowspan="5" align="left">Height (cm)</td>
<td align="left">N (Missing)</td>
<td align="left">3000 (153)</td>
</tr>
<tr>
<td align="left">Mean (SD)</td>
<td align="left">163.36 (12.83)</td>
</tr>
<tr>
<td align="left">Median</td>
<td align="left">165.00</td>
</tr>
<tr>
<td align="left">Q1, Q3</td>
<td align="left">158.00, 170.00</td>
</tr>
<tr>
<td align="left">Min, Max</td>
<td align="left">55.00, 187.00</td>
</tr>
<tr>
<td rowspan="5" align="left">Weight (kg)</td>
<td align="left">N (Missing)</td>
<td align="left">3000 (125)</td>
</tr>
<tr>
<td align="left">Mean (SD)</td>
<td align="left">60.12 (13.46)</td>
</tr>
<tr>
<td align="left">Median</td>
<td align="left">60.00</td>
</tr>
<tr>
<td align="left">Q1, Q3</td>
<td align="left">52.00, 68.00</td>
</tr>
<tr>
<td align="left">Min, Max</td>
<td align="left">5.00, 112.00</td>
</tr>
<tr>
<td rowspan="5" align="left">BMI (kg/m<sup>2</sup>)</td>
<td align="left">N (Missing)</td>
<td align="left">3000 (156)</td>
</tr>
<tr>
<td align="left">Mean (SD)</td>
<td align="left">22.32 (4.10)</td>
</tr>
<tr>
<td align="left">Median</td>
<td align="left">22.06</td>
</tr>
<tr>
<td align="left">Q1, Q3</td>
<td align="left">19.62, 24.61</td>
</tr>
<tr>
<td align="left">Min, Max</td>
<td align="left">8.84, 76.53</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI: body mass index.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Baseline vital signs before medication.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="left">Index</th>
<th align="left">Statistical description</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="5" align="left">Body Temperature (&#xb0;C)</td>
<td align="left">N (Missing)</td>
<td align="left">3000 (1)</td>
</tr>
<tr>
<td align="left">Mean (SD)</td>
<td align="left">36.49 (0.33)</td>
</tr>
<tr>
<td align="left">Median</td>
<td align="left">36.50</td>
</tr>
<tr>
<td align="left">Q1, Q3</td>
<td align="left">36.30, 36.60</td>
</tr>
<tr>
<td align="left">Min, Max</td>
<td align="left">35.60, 40.40</td>
</tr>
<tr>
<td rowspan="5" align="left">Pulse (beats/min)</td>
<td align="left">N (Missing)</td>
<td align="left">3000 (1)</td>
</tr>
<tr>
<td align="left">Mean (SD)</td>
<td align="left">83.84 (13.84)</td>
</tr>
<tr>
<td align="left">Median</td>
<td align="left">81.00</td>
</tr>
<tr>
<td align="left">Q1, Q3</td>
<td align="left">76.00, 90.00</td>
</tr>
<tr>
<td align="left">Min, Max</td>
<td align="left">48.00, 188.00</td>
</tr>
<tr>
<td rowspan="5" align="left">Breathing (times/min)</td>
<td align="left">N (Missing)</td>
<td align="left">3000 (3)</td>
</tr>
<tr>
<td align="left">Mean (SD)</td>
<td align="left">19.54 (2.03)</td>
</tr>
<tr>
<td align="left">Median</td>
<td align="left">20.00</td>
</tr>
<tr>
<td align="left">Q1, Q3</td>
<td align="left">18.00, 20.00</td>
</tr>
<tr>
<td align="left">Min, Max</td>
<td align="left">12.00, 66.00</td>
</tr>
<tr>
<td rowspan="5" align="left">Systolic Blood Pressure (mmHg)</td>
<td align="left">N (Missing)</td>
<td align="left">3000 (1)</td>
</tr>
<tr>
<td align="left">Mean (SD)</td>
<td align="left">119.27 (15.95)</td>
</tr>
<tr>
<td align="left">Median</td>
<td align="left">119.00</td>
</tr>
<tr>
<td align="left">Q1, Q3</td>
<td align="left">108.00, 129.00</td>
</tr>
<tr>
<td align="left">Min, Max</td>
<td align="left">72.00, 212.00</td>
</tr>
<tr>
<td rowspan="5" align="left">Diastolic Blood Pressure (mmHg)</td>
<td align="left">N (Missing)</td>
<td align="left">3000 (1)</td>
</tr>
<tr>
<td align="left">Mean (SD)</td>
<td align="left">76.05 (10.65)</td>
</tr>
<tr>
<td align="left">Median</td>
<td align="left">75.00</td>
</tr>
<tr>
<td align="left">Q1, Q3</td>
<td align="left">698.00, 82.00</td>
</tr>
<tr>
<td align="left">Min, Max</td>
<td align="left">41.00, 125.00</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Medical and adverse drug reaction (ADR) history.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="left">Index</th>
<th align="left">Statistical description</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="left">Past Medical History</td>
<td align="left">No n (%)</td>
<td align="left">1151 (38.37)</td>
</tr>
<tr>
<td align="left">Yes n (%)</td>
<td align="left">1849 (61.63)</td>
</tr>
<tr>
<td align="left">Total (Missing)</td>
<td align="left">3000 (0)</td>
</tr>
<tr>
<td rowspan="3" align="left">Past ADR History</td>
<td align="left">No n (%)</td>
<td align="left">2772 (92.40)</td>
</tr>
<tr>
<td align="left">Yes n (%)</td>
<td align="left">228 (7.60)</td>
</tr>
<tr>
<td align="left">Total (Missing)</td>
<td align="left">3000 (0)</td>
</tr>
<tr>
<td rowspan="3" align="left">Comorbidities</td>
<td align="left">No n (%)</td>
<td align="left">1151 (38.37)</td>
</tr>
<tr>
<td align="left">Yes n (%)</td>
<td align="left">1849 (61.63)</td>
</tr>
<tr>
<td align="left">Total (Missing)</td>
<td align="left">3000 (0)</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Age group distribution.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Age (years)</th>
<th align="left">n</th>
<th align="left">%</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">0&#x2013;18</td>
<td align="left">106</td>
<td align="left">3.53</td>
</tr>
<tr>
<td align="left">18&#x2013;45</td>
<td align="left">948</td>
<td align="left">31.60</td>
</tr>
<tr>
<td align="left">45&#x2013;60</td>
<td align="left">1064</td>
<td align="left">35.47</td>
</tr>
<tr>
<td align="left">&#x2265;60</td>
<td align="left">882</td>
<td align="left">29.40</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-2">
<title>3.2 Clinical use of placental polypeptide injection</title>
<p>The real-world use of placental polypeptide injections is summarized in <xref ref-type="table" rid="T5">Tables 5</xref>&#x2013;<xref ref-type="table" rid="T7">7</xref>. Among the 3,000 enrolled patients, the most common indications for treatment, each accounting for more than 1% of cases, are presented in <xref ref-type="table" rid="T5">Table 5</xref>. The most frequent indication was pulmonary tuberculosis (438 cases, 14.60%), followed by hepatitis B virus infection (229 cases, 7.63%) and hepatitis C virus infection (182 cases, 6.07%).</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Indications for placental polypeptide injection.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Disease indication</th>
<th align="left">n</th>
<th align="left">%</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Pulmonary tuberculosis</td>
<td align="left">438</td>
<td align="left">14.60</td>
</tr>
<tr>
<td align="left">Hepatitis B virus</td>
<td align="left">229</td>
<td align="left">7.63</td>
</tr>
<tr>
<td align="left">Hepatitis C virus</td>
<td align="left">182</td>
<td align="left">6.07</td>
</tr>
<tr>
<td align="left">Zoster</td>
<td align="left">163</td>
<td align="left">5.43</td>
</tr>
<tr>
<td align="left">AIDS</td>
<td align="left">153</td>
<td align="left">5.10</td>
</tr>
<tr>
<td align="left">Intestinal obstruction</td>
<td align="left">132</td>
<td align="left">4.40</td>
</tr>
<tr>
<td align="left">Immune dysfunction</td>
<td align="left">103</td>
<td align="left">3.43</td>
</tr>
<tr>
<td align="left">Pneumonia</td>
<td align="left">96</td>
<td align="left">3.20</td>
</tr>
<tr>
<td align="left">Malignant tumor</td>
<td align="left">82</td>
<td align="left">2.73</td>
</tr>
<tr>
<td align="left">Rectal cancer</td>
<td align="left">72</td>
<td align="left">2.40</td>
</tr>
<tr>
<td align="left">Colon cancer</td>
<td align="left">60</td>
<td align="left">2.00</td>
</tr>
<tr>
<td align="left">Hypoproteinemia</td>
<td align="left">47</td>
<td align="left">1.57</td>
</tr>
<tr>
<td align="left">Gastric cancer</td>
<td align="left">46</td>
<td align="left">1.53</td>
</tr>
<tr>
<td align="left">Decreased white blood cells</td>
<td align="left">45</td>
<td align="left">1.50</td>
</tr>
<tr>
<td align="left">Lung cancer</td>
<td align="left">43</td>
<td align="left">1.43</td>
</tr>
<tr>
<td align="left">Cellular immunodeficiency</td>
<td align="left">43</td>
<td align="left">1.43</td>
</tr>
<tr>
<td align="left">Liver cancer</td>
<td align="left">34</td>
<td align="left">1.13</td>
</tr>
<tr>
<td align="left">Ventricular septal defect</td>
<td align="left">34</td>
<td align="left">1.13</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Most patients received a single dose of 8&#xa0;mL (2,167 patients, 68.97%) or 4&#xa0;mL (922 patients, 29.34%). The mean duration of medication use was 8.19 &#xb1; 5.79 days, with a median of 7 days. The mean total dose administered was 53.12 &#xb1; 41.36&#xa0;mL, with a median total dose of 48&#xa0;mL. The mean daily dose was 6.76 &#xb1; 2.22&#xa0;mL, with a median of 8&#xa0;mL (<xref ref-type="table" rid="T6">Table 6</xref>). A significant proportion of the patients received concomitant injectable medications, with 2,953 (98.43%) receiving at least one additional injectable drug. Furthermore, 2,263 patients (75.43%) received concomitant medications along with placental polypeptide injections (<xref ref-type="table" rid="T7">Table 7</xref>).</p>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Summary of drug administration and exposure.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="left">Index</th>
<th align="left">Statistical description</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="6" align="left">Single Dose Administration (mL)</td>
<td align="left">N (Missing)</td>
<td align="left">3143 (1)</td>
</tr>
<tr>
<td align="left">1, n (%)</td>
<td align="left">22 (0.70)</td>
</tr>
<tr>
<td align="left">2, n (%)</td>
<td align="left">30 (0.95)</td>
</tr>
<tr>
<td align="left">4, n (%)</td>
<td align="left">922 (29.34)</td>
</tr>
<tr>
<td align="left">6, n (%)</td>
<td align="left">1 (0.03)</td>
</tr>
<tr>
<td align="left">8, n (%)</td>
<td align="left">2167 (68.97)</td>
</tr>
<tr>
<td rowspan="5" align="left">Average Medication Duration (days)</td>
<td align="left">N (Missing)</td>
<td align="left">3143 (0)</td>
</tr>
<tr>
<td align="left">Mean (SD)</td>
<td align="left">8.19 (5.79)</td>
</tr>
<tr>
<td align="left">Median</td>
<td align="left">7.00</td>
</tr>
<tr>
<td align="left">Q1, Q3</td>
<td align="left">4.00, 11.00</td>
</tr>
<tr>
<td align="left">Min, Max</td>
<td align="left">1.00, 6600</td>
</tr>
<tr>
<td rowspan="5" align="left">Total Dosage (mL)</td>
<td align="left">N (Missing)</td>
<td align="left">3143 (1)</td>
</tr>
<tr>
<td align="left">Mean (SD)</td>
<td align="left">53.12 (41.36)</td>
</tr>
<tr>
<td align="left">Median</td>
<td align="left">48.00</td>
</tr>
<tr>
<td align="left">Q1, Q3</td>
<td align="left">24.00, 72.00</td>
</tr>
<tr>
<td align="left">Min, Max</td>
<td align="left">100, 52800</td>
</tr>
<tr>
<td rowspan="5" align="left">Average Dose (mL/day)</td>
<td align="left">N (Missing)</td>
<td align="left">3143 (1)</td>
</tr>
<tr>
<td align="left">Mean (SD)</td>
<td align="left">6.76 (2.22)</td>
</tr>
<tr>
<td align="left">Median</td>
<td align="left">8.00</td>
</tr>
<tr>
<td align="left">Q1, Q3</td>
<td align="left">4.00, 8.00</td>
</tr>
<tr>
<td align="left">Min, Max</td>
<td align="left">1.00, 56.00</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T7" position="float">
<label>TABLE 7</label>
<caption>
<p>Summary of concomitant medications.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="left">Index</th>
<th align="left">Statistical description</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="left">Use of Other Injectable Drugs</td>
<td align="left">Yes n (%)</td>
<td align="left">2953 (98.43)</td>
</tr>
<tr>
<td align="left">No n (%)</td>
<td align="left">47 (1.57)</td>
</tr>
<tr>
<td align="left">Total (Missing)</td>
<td align="left">3000 (0)</td>
</tr>
<tr>
<td rowspan="3" align="left">Use of Concomitant Medications</td>
<td align="left">Yes n (%)</td>
<td align="left">2263 (75.43)</td>
</tr>
<tr>
<td align="left">No n (%)</td>
<td align="left">737 (24.57)</td>
</tr>
<tr>
<td align="left">Total (Missing)</td>
<td align="left">3000 (0)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-3">
<title>3.3 Adverse events and drug-related reactions</title>
<p>Among the 3,000 patients receiving placental polypeptide injections, 120 (4.0%) experienced at least one AE (<xref ref-type="table" rid="T8">Table 8</xref>). Of these, only one adverse event (0.03%) was related to the study drug, while no serious adverse events (SAEs) or treatment-related deaths were reported. This suggests that placental polypeptide injections have a favorable safety profile with a minimal risk of drug-induced reactions. Most AEs were classified as mild (106 cases, 3.53%), followed by moderate (16 cases, 0.53%). No severe adverse events were observed (<xref ref-type="table" rid="T9">Table 9</xref>). The most frequently reported adverse events were metabolic and nutritional disorders, neurological disorders, gastrointestinal disturbances, and hematologic abnormalities (<xref ref-type="table" rid="T10">Table 10</xref>). Common AEs included hyperuricemia (13 patients, 0.43%), constipation (14 patients, 0.47%), bone marrow suppression (7 patients, 0.23%), and dizziness (9 patients, 0.30%).</p>
<table-wrap id="T8" position="float">
<label>TABLE 8</label>
<caption>
<p>Overview of adverse events.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Event type</th>
<th align="left">Total number of events</th>
<th align="left">Number of patients affected</th>
<th align="left">Incidence rate (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Adverse Event</td>
<td align="left">153</td>
<td align="left">120</td>
<td align="left">4.00</td>
</tr>
<tr>
<td align="left">Drug-Related Adverse Reaction</td>
<td align="left">1</td>
<td align="left">1</td>
<td align="left">0.03</td>
</tr>
<tr>
<td align="left">Serious Adverse Events</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0.00</td>
</tr>
<tr>
<td align="left">Adverse Events Leading to Death</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0.00</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T9" position="float">
<label>TABLE 9</label>
<caption>
<p>Severity of adverse events.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Severity level</th>
<th align="left">Total number of events</th>
<th align="left">Number of patients affected</th>
<th align="left">Incidence rate (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Mild</td>
<td align="left">137</td>
<td align="left">106</td>
<td align="left">3.53</td>
</tr>
<tr>
<td align="left">Moderate</td>
<td align="left">16</td>
<td align="left">16</td>
<td align="left">0.53</td>
</tr>
<tr>
<td align="left">Severe</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0.00</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T10" position="float">
<label>TABLE 10</label>
<caption>
<p>Classification of adverse events by system organ class (SOC).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">System organ class (SOC)</th>
<th align="left">Preferred term (PT)</th>
<th align="left">Number of patients</th>
<th align="left">Incidence rate (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="6" align="left">Metabolic and Nutritional Diseases</td>
<td align="left">Hypoproteinemia</td>
<td align="left">4</td>
<td align="left">0.13</td>
</tr>
<tr>
<td align="left">Electrolyte Imbalance</td>
<td align="left">2</td>
<td align="left">0.07</td>
</tr>
<tr>
<td align="left">Hyperuricemia</td>
<td align="left">13</td>
<td align="left">0.43</td>
</tr>
<tr>
<td align="left">Hyperhomocysteinemia</td>
<td align="left">2</td>
<td align="left">0.07</td>
</tr>
<tr>
<td align="left">Hyperlipidemia</td>
<td align="left">1</td>
<td align="left">0.03</td>
</tr>
<tr>
<td align="left">Decreased Appetite</td>
<td align="left">1</td>
<td align="left">0.03</td>
</tr>
<tr>
<td align="left">Ear and Labyrinth Diseases</td>
<td align="left">Vertigo</td>
<td align="left">1</td>
<td align="left">0.03</td>
</tr>
<tr>
<td rowspan="2" align="left">Diseases of the Liver and Gallbladder</td>
<td align="left">Abnormal Liver Function</td>
<td align="left">2</td>
<td align="left">0.07</td>
</tr>
<tr>
<td align="left">Drug-Induced Liver Injury</td>
<td align="left">2</td>
<td align="left">0.07</td>
</tr>
<tr>
<td rowspan="3" align="left">Neurological Disorders</td>
<td align="left">Dizziness</td>
<td align="left">9</td>
<td align="left">0.30</td>
</tr>
<tr>
<td align="left">Headache</td>
<td align="left">3</td>
<td align="left">0.10</td>
</tr>
<tr>
<td align="left">Tremor</td>
<td align="left">1</td>
<td align="left">0.03</td>
</tr>
<tr>
<td align="left">Skin and Subcutaneous Tissue Diseases</td>
<td align="left">Skin Reaction</td>
<td align="left">2</td>
<td align="left">0.07</td>
</tr>
<tr>
<td rowspan="2" align="left">Systemic Reactions</td>
<td align="left">Fever</td>
<td align="left">1</td>
<td align="left">0.03</td>
</tr>
<tr>
<td align="left">Weakness</td>
<td align="left">1</td>
<td align="left">0.03</td>
</tr>
<tr>
<td rowspan="4" align="left">Gastrointestinal Disorders</td>
<td align="left">Constipation</td>
<td align="left">14</td>
<td align="left">0.47</td>
</tr>
<tr>
<td align="left">Nausea</td>
<td align="left">2</td>
<td align="left">0.07</td>
</tr>
<tr>
<td align="left">Abdominal Discomfort</td>
<td align="left">2</td>
<td align="left">0.07</td>
</tr>
<tr>
<td align="left">Vomiting</td>
<td align="left">2</td>
<td align="left">0.07</td>
</tr>
<tr>
<td rowspan="4" align="left">Blood and Lymphatic System Disorders</td>
<td align="left">Bone Marrow Suppression</td>
<td align="left">7</td>
<td align="left">0.23</td>
</tr>
<tr>
<td align="left">Neutropenia</td>
<td align="left">1</td>
<td align="left">0.03</td>
</tr>
<tr>
<td align="left">Coagulation Disorder</td>
<td align="left">1</td>
<td align="left">0.03</td>
</tr>
<tr>
<td align="left">Anemia</td>
<td align="left">3</td>
<td align="left">0.10</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Only one adverse reaction (0.03%) was classified as related to placental polypeptide injection (<xref ref-type="table" rid="T11">Table 11</xref>). Reaction vertigo was coded under the MedDRA Preferred Term (PT) &#x201c;Vertigo,&#x201d; belonging to the System Organ Class (SOC) &#x201c;Ear and Labyrinth Disorders.&#x201d; According to the Council for International Organizations of Medical Sciences (CIOMS) severity criteria, this reaction is mild and does not require medical intervention. This case occurred in a patient with melanoma, an indication for placental polypeptide injection. Age-stratified analysis of adverse events (<xref ref-type="table" rid="T12">Table 12</xref>) showed the highest incidence rate (5.66%) in patients aged 0&#x2013;18 years, followed by 4.64% in the 18&#x2013;45 group, 4.42% in the 45&#x2013;60 group, and 2.61% in those aged &#x2265;60 years. Only one patient (0.11%) aged &#x2265;60 years experienced an adverse event related to the study drug, while no study-related AEs were reported in the younger age groups.</p>
<table-wrap id="T11" position="float">
<label>TABLE 11</label>
<caption>
<p>Summary of adverse drug reactions.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">System organ class (SOC)</th>
<th align="left">Preferred term (PT)</th>
<th align="left">Number of patients</th>
<th align="left">Incidence rate (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Ear and Labyrinth Diseases</td>
<td align="left">Vertigo</td>
<td align="left">1</td>
<td align="left">0.03</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T12" position="float">
<label>TABLE 12</label>
<caption>
<p>Summary of adverse events in different age groups.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Age (years)</th>
<th align="left">Event type</th>
<th align="left">Number of events</th>
<th align="left">Number of patients affected</th>
<th align="left">Incidence rate (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="left">0&#x2013;18</td>
<td align="left">Adverse Event</td>
<td align="left">6</td>
<td align="left">6</td>
<td align="left">5.66</td>
</tr>
<tr>
<td align="left">Drug-Related Adverse Events</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0.00</td>
</tr>
<tr>
<td rowspan="2" align="left">18&#x2013;45</td>
<td align="left">Adverse Event</td>
<td align="left">53</td>
<td align="left">44</td>
<td align="left">4.64</td>
</tr>
<tr>
<td align="left">Drug-Related Adverse Events</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0.00</td>
</tr>
<tr>
<td rowspan="2" align="left">45&#x2013;60</td>
<td align="left">Adverse Event</td>
<td align="left">58</td>
<td align="left">47</td>
<td align="left">4.42</td>
</tr>
<tr>
<td align="left">Drug-Related Adverse Events</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0.00</td>
</tr>
<tr>
<td rowspan="2" align="left">&#x2265;60</td>
<td align="left">Adverse Event</td>
<td align="left">36</td>
<td align="left">23</td>
<td align="left">2.61</td>
</tr>
<tr>
<td align="left">Drug-Related Adverse Events</td>
<td align="left">1</td>
<td align="left">1</td>
<td align="left">0.11</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Overall, these findings indicate that placental polypeptide injections are well tolerated across all age groups, with a low incidence of ADRs and no reported SAEs.</p>
</sec>
<sec id="s3-4">
<title>3.4 Factors influencing adverse events</title>
<p>Linear regression analysis was conducted to examine the relationship between AE occurrence (dependent variable) and the following independent variables: age, sex, BMI, presence of comorbidities, concomitant medication use, and first-time use of placental polypeptide injection.</p>
<p>As shown in <xref ref-type="table" rid="T13">Table 13</xref>, the regression model yielded an <italic>R</italic>
<sup>2</sup> value of 0.001, indicating that these independent variables explained only 0.1% of the variance in the AE incidence. The F-test for overall model significance showed F (6,2840) &#x3d; 0.676, p &#x3d; 0.669, which was greater than 0.05, confirming that the model was not statistically significant. None of the independent variables, age (&#x3b2; &#x3d; &#x2212;0.001, p &#x3e; 0.05), sex (&#x3b2; &#x3d; &#x2212;0.001, p &#x3e; 0.05), BMI (&#x3b2; &#x3d; &#x2212;0.000, p &#x3e; 0.05), presence of comorbidities (&#x3b2; &#x3d; 0.001, p &#x3e; 0.05), concomitant medication use (&#x3b2; &#x3d; 0, p &#x3e; 0.05), or first-time use of placental polypeptide injections (&#x3b2; &#x3d; 0, p &#x3e; 0.05), exhibited a statistically significant association with the occurrence of AEs. Additionally, variance inflation factors (VIFs) for all predictors were close to one, indicating no multicollinearity concerns among the independent variables. The Durbin-Watson statistic (D-W&#x3d;2.000) suggested no autocorrelation in the residuals, further supporting the model&#x2019;s validity. Overall, these results indicate that age, sex, BMI, comorbidities, concomitant medication use, and first-time administration of placental polypeptide injections were not significant predictors of AE risk in this study population.</p>
<table-wrap id="T13" position="float">
<label>TABLE 13</label>
<caption>
<p>Analysis of factors influencing adverse events.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="left">Regression coefficient</th>
<th align="left">95% CI</th>
<th align="left">VIF</th>
<th align="left">Tolerance</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Coefficient</td>
<td align="left">2.002&#x2a;&#x2a;</td>
<td align="left">1.994 &#x223c; 2.010</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">Intercept</td>
<td align="left">&#x2212;479.911</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">Age</td>
<td align="left">&#x2212;0.001 (&#x2212;1.000)</td>
<td align="left">&#x2212;0.000 &#x223c; 0.000</td>
<td align="left">1.04</td>
<td align="left">0.961</td>
</tr>
<tr>
<td align="left">Sex</td>
<td align="left">&#x2212;0.001 (&#x2212;1.275)</td>
<td align="left">&#x2212;0.002 &#x223c; 0.000</td>
<td align="left">1.01</td>
<td align="left">0.99</td>
</tr>
<tr>
<td align="left">BMI</td>
<td align="left">&#x2212;0.000 (&#x2212;0.923)</td>
<td align="left">&#x2212;0.000 &#x223c; 0.000</td>
<td align="left">1.029</td>
<td align="left">0.972</td>
</tr>
<tr>
<td align="left">Comorbidities</td>
<td align="left">0.001 (&#x2212;0.761)</td>
<td align="left">&#x2212;0.001 &#x223c; 0.002</td>
<td align="left">1.006</td>
<td align="left">0.994</td>
</tr>
<tr>
<td align="left">Concomitant Medication</td>
<td align="left">0 (&#x2212;0.173)</td>
<td align="left">&#x2212;0.005 &#x223c; 0.006</td>
<td align="left">1.002</td>
<td align="left">0.998</td>
</tr>
<tr>
<td align="left">First-Time Use of Placental Peptide Injection</td>
<td align="left">0 (&#x2212;0.245)</td>
<td align="left">&#x2212;0.003 &#x223c; 0.004</td>
<td align="left">1.007</td>
<td align="left">0.993</td>
</tr>
<tr>
<td align="left">Sample Size</td>
<td align="left">2847</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<italic>R</italic>
<sup>2</sup>
</td>
<td align="left">0.001</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">Adjusted <italic>R</italic>
<sup>2</sup>
</td>
<td align="left">&#x2212;0.001</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">F-statistic</td>
<td align="left">F (6,2840) &#x3d; 0.676, p &#x3d; 0.669</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">D-W Statistic</td>
<td align="left">2.000</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x2a;p &#x3c; 0.05, &#x2a;&#x2a;p &#x3c; 0.01 (t-values in parentheses).</p>
</fn>
<fn>
<p>Note: Due to missing height or weight data in 153 patients, the valid sample size included in the analysis was 2,847.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>This suggests that AEs to placental polypeptide injections occur independently of these common clinical variables, reinforcing the general safety of the drug across different patient profiles.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>The concept of RWR was first formally introduced by Kaplan et al., in 1993 through their study of ramipril in patients with hypertension (<xref ref-type="bibr" rid="B14">Kaplan et al., 1993</xref>). Real-world studies collect various types of data from diverse settings, including hospitals, communities, and households, and apply rigorous analytical frameworks to evaluate intervention outcomes in broader patient populations. The 21st Century Cures Act (21CCA) enacted by the U.S. In 2016, Congress (<xref ref-type="bibr" rid="B2">Bonamici, 2024</xref>) emphasized the importance of RWE in healthcare decision-making. Subsequently, the U.S. FDA issued its Guidance for Industry: Real-World Evidence Supporting Medical Device Management Decisions in 2017 (<xref ref-type="bibr" rid="B20">U.S.Food and Drug Administration, 2017</xref>), followed by the Real-World Evidence Program Framework in 2018 (<xref ref-type="bibr" rid="B8">FDA, 2018</xref>). Compared with traditional randomized controlled trials (RCTs), real-world studies incorporate broader patient populations, more diverse data sources, and extended follow-up periods, providing long-term clinical outcome observations (<xref ref-type="bibr" rid="B7">Fan, 2024</xref>). These attributes enhance the reliability of clinical trial design and regulatory decision making (<xref ref-type="bibr" rid="B16">Marzano et al., 2024</xref>).</p>
<p>In China, RWR has gained significant attention, particularly in the evaluation of TCM interventions (<xref ref-type="bibr" rid="B30">Zhong, 2009</xref>; <xref ref-type="bibr" rid="B27">Zengshi, 2009</xref>). Limitations of pre-marketing clinical trials of TCM, such as small sample sizes, restricted age groups, overly controlled medication regimens, and short treatment durations, necessitate post-marketing real-world evaluations (<xref ref-type="bibr" rid="B9">Feng and Xie, 2010</xref>). Real-world studies help to assess the effectiveness and safety of treatments across broader populations, considering real-world complexities (<xref ref-type="bibr" rid="B18">Sherman et al., 2016</xref>). The release of the Real-World Research Guide in 2018 (<xref ref-type="bibr" rid="B22">Wu et al., 2019</xref>) provided a structured framework for conducting high-quality RWR in China, leading to its widespread application (<xref ref-type="bibr" rid="B3">Can et al., 2018</xref>; <xref ref-type="bibr" rid="B24">Yang et al., 2011</xref>). Large-scale multicenter real-world studies have been instrumental in post-marketing safety evaluations of various drugs, including quinapril maleate (<xref ref-type="bibr" rid="B10">Guo et al., 2017</xref>), Longjing Tonglin capsules (<xref ref-type="bibr" rid="B29">Zhang et al., 2022</xref>), Shuxuening injection (<xref ref-type="bibr" rid="B13">Jin et al., 2023</xref>), Jiebiao Qingre Zhike decoction (<xref ref-type="bibr" rid="B5">Dezhong et al., 2023</xref>), ShumiTong capsules (<xref ref-type="bibr" rid="B28">Chunhe et al., 2021</xref>), and antiviral oral liquids (<xref ref-type="bibr" rid="B12">Hongjiao et al., 2022</xref>).</p>
<sec id="s4-1">
<title>4.1 Key findings from this study</title>
<p>This large-scale, multicenter, real-world study investigated the postmarketing safety of placental polypeptide injections. The mean age of the patients was 49.65 years, with 96.47% aged &#x3e;18 years. The mean body temperature was 36.49&#xb0;C, with an average pulse rate of 83.84 beats per minute, respiratory rate of 19.54 breaths per minute, systolic blood pressure of 119.27&#xa0;mmHg, and diastolic blood pressure of 76.05&#xa0;mmHg. A history of prior disease was reported in 61.63% of the patients, 92.40% had a history of ADRs, and 61.63% had comorbid conditions.</p>
<p>Regarding medication use, most patients received doses exceeding 4&#xa0;mL (98.34%), with an average treatment duration of 8.19 days and a mean total dose of 53.12&#xa0;mL. Concomitant medication use was high, with 98.43% of patients receiving injectable co-medications and 75.43% receiving non-injectable treatments. These findings indicate that the clinical application of placental polypeptide injections adheres to the recommended dosage guidelines.</p>
<p>Despite its widespread use, only one adverse reaction (vertigo) has been reported. The affected patient exhibited symptom onset overlapping with placental polypeptide injection administration, and the symptoms resolved after discontinuation of the drug, suggesting a strong correlation between vertigo and treatment. The overall incidence of adverse reactions was 0.03%, classifying it as a rare adverse event based on CIOMS criteria.</p>
</sec>
<sec id="s4-2">
<title>4.2 Safety comparison with other immunomodulators</title>
<p>Placental polypeptide injections are commonly used as an immunomodulator and is often compared to thymosin injections, another widely used agent for malignancies, tuberculosis, pneumonia, and immune-related disorders. However, thymosin injections are associated with a significantly higher incidence of adverse reactions. From 2003 to 2011, 5,459 adverse reaction reports related to thymosin injections were documented in China (<xref ref-type="bibr" rid="B4">Chen et al., 2022</xref>). In early 2023, the National Medical Products Administration (NMPA) of China issued a black-box warning for thymosin injections, highlighting serious safety concerns. In contrast, placental polypeptide injections demonstrate a superior safety profile, with fewer reported adverse events and no severe reactions documented in this study.</p>
</sec>
<sec id="s4-3">
<title>4.3 Implications for drug safety monitoring and future research</title>
<p>This study highlights the importance of real-world hospital-based centralized monitoring for comprehensive, timely, and accurate drug safety evaluation. RWE offers an effective approach for post-marketing surveillance, ensuring better regulatory oversight and patient safety. Systematic collection of real-world data, interdisciplinary collaborations, and advanced analytical methodologies will facilitate the high-quality transformation of real-world data into actionable clinical evidence.</p>
<p>Post-marketing safety evaluations provide several benefits. They guide the rational and safe clinical use of medications, mitigate risks, and support drug risk-control strategies. Additionally, such evaluations contribute to enhancing drug labeling, updating safety warnings, and informing regulatory policies regarding pharmacovigilance, enforcement, and acceptance standards (<xref ref-type="bibr" rid="B15">Li et al., 2015</xref>).</p>
</sec>
<sec id="s4-4">
<title>4.4 Study limitations</title>
<p>This study has several limitations. First, this retrospective study may introduce the potential for selection bias, as patient inclusion depended on hospital-based documentation, which may not fully capture all adverse events. Additionally, underreporting of mild or transient adverse events is possible, as some symptoms may not have been recorded in the clinical notes. Second, the lack of a control group limited the ability to directly compare placental polypeptide injections with alternative therapies. Future studies incorporating matched controls or randomized comparisons would provide stronger evidence of relative safety and efficacy. Third, although this study included a diverse patient population, the findings may not be generalizable to all clinical settings. The study was conducted in three hospitals, and although they represented different regions, the results may not fully reflect safety profiles in primary care settings or smaller healthcare facilities. Finally, long-term safety data was limited. Although real-world studies enable a longer follow-up than traditional trials, the study duration was insufficient to evaluate delayed or chronic adverse effects. Further long-term observational studies or registry-based surveillance would help to assess potential late-onset safety concerns.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>This large-scale, multicenter, real-world study demonstrated that placental polypeptide injections exhibit a good clinical safety profile, with an adverse reaction rate of only 0.03%. Most adverse events were mild, and gastrointestinal disorders were the most frequently observed. These findings provide critical pharmacovigilance evidence to support clinical guideline updates, regulatory decisions, and the inclusion of placental polypeptide injections in national essential medicine lists, insurance schemes, and procurement policies, ensuring its safe and rational clinical use.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics Committee for Drug Clinical Trials of the First Hospital of Hebei Medical University. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>LD: Conceptualization, Investigation, Writing&#x2013;original draft, Writing&#x2013;review and editing. FA: Conceptualization, Investigation, Writing&#x2013;original draft, Writing&#x2013;review and editing. CT: Writing&#x2013;review and editing, Formal Analysis, Methodology. WY: Writing&#x2013;review and editing, Project administration. JC: Methodology, Resources, Writing&#x2013;review and editing. HZ: Resources, Writing&#x2013;review and editing. XL: Resources, Writing&#x2013;review and editing. LW: Resources, Writing&#x2013;review and editing. ZZ: Supervision, Writing&#x2013;original draft, Writing&#x2013;review and editing, Investigation. BT: Writing&#x2013;original draft, Writing&#x2013;review and editing, Conceptualization, Supervision. CZ: Investigation, Methodology, Writing&#x2013;original draft, Writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>Author XL was employed by Beijing Dehuijia Pharmaceutical Technology Co., Ltd.</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 sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s12">
<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>
</sec>
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