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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2024.1369344</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Associations of gestational thyrotropin levels with disease progression among pregnant women with differentiated thyroid cancer: a retrospective cohort study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Xin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fu</surname>
<given-names>Peng</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xiao</surname>
<given-names>Wu-Cai</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mei</surname>
<given-names>Fang</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2086692"/>
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<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Fan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/845712"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Shanghang</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref> <xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Jing</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shan</surname>
<given-names>Rui</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Bang-Kai</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Shi-Bing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Yuan</surname>
<given-names>Chun-Hui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1652100"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Zheng</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1346572"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of General Surgery, Peking University Third Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Ultrasound, Peking University Third Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Maternal and Child Health, School of Public Health, Peking University</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Pathology, Peking University Third Hospital, School of Basic Medical Sciences, Peking University Health Science Center</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Information Management and Big Data Center, Peking University Third Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Fausto Bogazzi, University of Pisa, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Rhitajit Sarkar, National Institute of Diabetes and Digestive and Kidney Diseases (NIH), United States</p>
<p>Lida Luo, Yale University, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Zheng Liu, <email xlink:href="mailto:liuzheng@bjmu.edu.cn">liuzheng@bjmu.edu.cn</email>
</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;These authors share first authorship</p>
</fn>
<fn fn-type="other" id="fn004">
<p>&#x2021;ORCID: Shanghang Zhang, <uri
xlink:href="https://orcid.org/0000-0003-4047-3526">orcid.org/0000-0003-4047-3526</uri>; Zheng Liu, <uri xlink:href="https://orcid.org/0000-0002-0405-2348">orcid.org/0000-0002-0405-2348</uri>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>10</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1369344</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>09</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Li, Fu, Xiao, Mei, Zhang, Zhang, Chen, Shan, Sun, Song, Yuan and Liu</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Li, Fu, Xiao, Mei, Zhang, Zhang, Chen, Shan, Sun, Song, Yuan and Liu</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>Pregnant women with a diagnosis of differentiated thyroid cancer (DTC) were potentially high-risk but largely ignored study population. We aimed to explore whether gestational thyrotropin levels were associated with progression of DTC.</p>
</sec>
<sec>
<title>Methods</title>
<p>We conducted a retrospective cohort study at Peking University Third Hospital in Beijing, China from January 2012 to December 2022. We included pregnant women with a pre-pregnancy DTC managed by active surveillance (under-surveillance DTC) or surgical treatment (after-surgery DTC). Dynamic changes of gestational thyrotropin levels across multiple time points were characterized by both statistical (average level, change instability, longitudinal trajectory) and clinical (thyroid dysfunction, thyrotropin suppression, and achievement of thyrotropin suppression target) indicators. Outcomes were clinician-validated progression of DTC, measured separately for patients under surveillance (tumor enlargement or lymph node metastasis) and those after surgery (&#x2265; 3&#xa0;mm growth in the size of existing metastatic foci, development of new lymph node metastases, &#x2265; 2&#xa0;mm growth in the size of existing cancer foci in the contralateral thyroid, or biochemical progression).</p>
</sec>
<sec>
<title>Results</title>
<p>Among 43 and 118 patients with under-surveillance and after-surgery DTC, we observed no evidence of associations between any of the quantitative or clinical indicators of gestational thyrotropin levels and progression-free survival, after a median of 2.63 (IQR: 0.90-4.73) and 4.22 (2.53-6.02) year follow-up, respectively (all <italic>P</italic> values &gt; 0.05).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Gestational thyrotropin levels appeared to play a minor role in the progression of under-surveillance or after-surgery DTC. Clinicians might focus on the risk of adverse pregnancy outcomes when optimizing thyrotropin levels for pregnant women with a diagnosis of DTC.</p>
</sec>
</abstract>
<kwd-group>
<kwd>differentiated thyroid cancer</kwd>
<kwd>thyrotropin</kwd>
<kwd>disease progression</kwd>
<kwd>pregnancy</kwd>
<kwd>DTC</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="30"/>
<page-count count="9"/>
<word-count count="4093"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Thyroid Endocrinology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Thyroid cancer has been increasingly prevalent worldwide. Females are much more likely to experience thyroid cancer than males (<xref ref-type="bibr" rid="B1">1</xref>). The age-standardized incidence of thyroid cancer has elevated from 6.68/10<sup>5</sup> to 20.20/10<sup>5</sup> between 2005 and 2015 among females in China (<xref ref-type="bibr" rid="B1">1</xref>). Differentiated thyroid cancer (DTC) makes up more than ninety percent of all types of thyroid cancers (<xref ref-type="bibr" rid="B2">2</xref>). DTC is commonly diagnosed in women of reproductive age whose prevalence only follows breast cancer (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>The clinical decisions for pregnant patients with DTC are generally complex. The complexity lies in the double burden of health risks for pregnant patients with DTC: adverse pregnancy outcomes and progression of DTC. Gestational thyrotropin is one important focus of prenatal care due to its critical function in the maintenance of normal pregnancy. To optimize gestational thyrotropin levels for pregnant women with DTC, it is equally important to elucidate their associations with adverse pregnancy outcomes as well as with the progression of DTC. However, the existing studies have focused more on the former than the latter associations (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Another challenge is to assess the repeated measures of thyrotropin across the whole gestation in a fine-grained manner. Studies have mostly used the static, single-point measure, but this might refrain us from determining whether the influence of thyrotropin levels on outcomes is transient on only one occasion or accumulated along the temporal dimension. For example, the risk of the increase in thyrotropin levels for disease progression possibly differs between that occurs only in early pregnancy with subsequent disappearance and that sustains across the whole period of gestation. It is thus paramount to adopt accurate and sensitive indicators to reflect the dynamic changes in thyrotropin levels during early, middle, and late pregnancy. Several studies have used novel indicators or statistical methods to capture the average level (<xref ref-type="bibr" rid="B6">6</xref>), instability characteristics (<xref ref-type="bibr" rid="B7">7</xref>), or longitudinal trajectory of the repeated measures over time (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>), but these approaches have not been applied to investigate the present topic until now, to our knowledge.</p>
<p>&#x201c;Less is more&#x201d; has been recognized as the primary treatment strategy for the low-risk DTC (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). Correspondingly, active surveillance has been considered as an alternative to immediate surgery for appropriately selected patients with low-risk DTC (<xref ref-type="bibr" rid="B12">12</xref>). Active surveillance refers to the close monitoring of cancer progression during a period without receiving immediate surgery. Despite the overall preferable prognosis of DTC, the degree of disease progression under active surveillance (briefly called &#x201c;under-surveillance&#x201d; below) varies greatly across individuals. Specifically, whether the level of thyrotropin relates to the progression of under-surveillance DTC has remained unresolved (<xref ref-type="bibr" rid="B13">13</xref>). Moreover, the relevant evidence until now has largely accumulated for the non-pregnant population (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). With the increasing number of pregnant women comorbid with under-surveillance DTC, it is urgent to clarify the associations of gestational thyrotropin levels with the progression of under-surveillance DTC. This has also been identified as an important research gap in the 2017 &#x201c;Guidelines of the American Thyroid Association for the Diagnosis and Management of Thyroid Disease During Pregnancy and the Postpartum&#x201d; (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>To fill the research gaps, our study was focused on pregnant patients with under-surveillance or after-surgery DTC, comprehensively measured the characteristics of changes in gestational thyrotropin levels by multiple indicators, and examined their associations with the risk of biomedical or structural progression of DTC. Dynamic monitoring of gestational thyrotropin levels has been highlighted in the 2022 &#x201c;Guidelines for prevention and management of thyroid diseases during pregnancy and perinatal period&#x201d; in China. Findings of our study would thus respond in a timely matter to this call through providing more detailed evidence (<xref ref-type="bibr" rid="B17">17</xref>).</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Study population</title>
<p>This was a retrospective cohort study conducted at Peking University Third Hospital in Beijing, China from January 2012 to December 2022. First, we selected patients if they had at least two thyrotropin measurements during gestation and were pathologically diagnosed with DTC. Then we selected those who were very similar to those in the prospective active surveillance studies as our <italic>study population 1</italic>: pregnant women with under-surveillance DTC. Inclusion criteria: 1) women receiving surgical treatment after the end of pregnancy; 2) with a duration of surveillance of no less than 6 months prior to surgery; and 3) undergoing at least two examinations of neck ultrasonography prior to surgery; Exclusion criteria: patients with lymph node metastasis or extra-thyroid invasion at baseline. For our <italic>study population 2</italic> (pregnant women with after-surgery DTC), the inclusion criteria were: 1) women receiving surgical treatment before pregnancy; and 2) with postoperational and postpartum examinations of neck ultrasonography, or measurements of serum thyroglobulin (Tg) levels and Tg antibodies. Finally, a total of 43 and 118 patients were included as those with under-surveillance DTC and those with after-surgery DTC, respectively. This study was approved by the Medical Research Ethics Committee of Peking University Third Hospital (No. IRB00006761-M2022721).</p>
</sec>
<sec id="s2_2">
<title>Gestational thyrotropin levels</title>
<p>Thyrotropin levels were measured with commercial kits (Siemens Healthcare Diagnostics) using a fully automatic chemiluminescence immunoassay analyzer (ADVIA Centaur XP; Siemens Healthcare Diagnostics). The lowest and highest detection levels of thyrotropin were 0.008 mIU/L and 150.000 mIU/L, respectively.</p>
<p>Based on literature review (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>), guidelines (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>) and our previous work (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>), we used both statistical and clinical indicators to comprehensively reflect the characteristics of the dynamic changes in gestational thyrotropin levels. Following the current Guidelines for the diagnosis and management of thyroid nodules and DTC in China (<xref ref-type="bibr" rid="B21">21</xref>), no levothyroxine medication was administered to under-surveillance individuals to maintain low thyrotropin levels while this medication was administered to after-surgery individuals to achieve thyrotropin suppression in this study setting. As such, specific indicators of gestational thyrotropin levels differed between our two study populations. For our study population 1 (pregnant women with under-surveillance DTC), the indicators of gestational thyrotropin levels included (1) time-weighted average of multiple measurements of thyrotropin, (2) instability of change in thyrotropin levels across multiple measurements, (3) longitudinal trajectory of thyrotropin levels across multiple measurements, and (4) thyroid dysfunction during gestation; for our study population 2 (pregnant women with after-surgery DTC), we additionally measured the gestational thyrotropin levels using (5) level of thyrotropin suppression and (6) achievement of thyrotropin suppression target based on response to therapy. Detailed definitions, calculation formula, or classification criteria for these indicators are shown in Supplemental <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of patients with under-surveillance DTC.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Characteristics</th>
<th valign="middle" align="center">N = 43</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<bold>Age at conception, year</bold>
</td>
<td valign="bottom" align="center">33.03 &#xb1; 3.47</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Tumor type, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Papillary thyroid carcinoma</td>
<td valign="bottom" align="center">37 (86.05)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Follicular thyroid carcinoma</td>
<td valign="bottom" align="center">6 (13.95)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Maximal diameter of tumor, cm</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Papillary thyroid carcinoma</td>
<td valign="bottom" align="center">0.82 &#xb1; 0.56</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Follicular thyroid carcinoma</td>
<td valign="bottom" align="center">2.38 &#xb1; 0.71</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Primary tumor status, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T1a</td>
<td valign="bottom" align="center">29 (67.44)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T1b</td>
<td valign="bottom" align="center">10 (23.26)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T2</td>
<td valign="bottom" align="center">4 (9.30)</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Hashimoto&#x2019;s thyroiditis, n (%)</bold>
</td>
<td valign="bottom" align="center">19 (44.19)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PTC, papillary thyroid cancer; PTMC, papillary thyroid microcarcinoma.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_3">
<title>Disease progression</title>
<p>The progression of under-surveillance DTC was assessed by tumor size enlargement (one greatest increment in one dimension of tumor size of no less than 3&#xa0;mm); incident lymph node metastasis (LNM) at follow-up observation; progression (either tumor size enlargement or incident LNM).</p>
<p>The progression of after-surgery DTC was assessed in both structural and biochemical types. Structural progression referred to incident LNM, &#x2265; 3&#xa0;mm growth in the size of existing metastatic foci (<xref ref-type="bibr" rid="B22">22</xref>), or &#x2265; 2&#xa0;mm growth in the size of existing cancer foci in the contralateral thyroid by using neck ultrasonography. Biochemical progression referred to a &#x2265; 20% increase in postoperational serum Tg or Tg antibodies relative to the preoperational level (<xref ref-type="bibr" rid="B23">23</xref>). To ensure the accuracy of Tg measurement, we only included the measurement values of serum Tg if the patient&#x2019;s Tg antibody was negative (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>Status of disease progression in clinical records were carefully reviewed and checked by two researchers with rich experiences in clinical practice (X. L.) and data preprocessing (W.C.X.).</p>
</sec>
<sec id="s2_4">
<title>Statistical analyses</title>
<p>We first used Schoenfeld residuals to test the proportional-hazards assumption, and then we adopted Cox proportional risk models to analyze the relationship between indicators of gestational thyrotropin levels and progression-free survival. To estimate the adjusted Hazard Ratio (HR) and its 95% confidence interval (CI), the models among patients with under-surveillance DTC were adjusted for tumor type (papillary thyroid carcinoma; follicular thyroid carcinoma), tumor size at baseline, the status of Hashimoto&#x2019;s thyroiditis (yes; no), and age at conception; the models among patients with after-surgery DTC were adjusted for tumor size at surgery, the status of Hashimoto&#x2019;s thyroiditis (yes; no), age at surgery, and surgical type (thyroid lobectomy; total thyroidectomy). Statistical analyses were performed using R software version 4.2 and Stata software version 16.0.&#xa0;P values &lt; 0.05 were considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Baseline characteristics of patients with under-surveillance or after-surgery DTC</title>
<p>
<xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref> shows the baseline characteristics of patients with under-surveillance DTC (n = 43) and those with after-surgery DTC (n = 118), respectively. More than 85% of the two groups of the study population were diagnosed with low-risk (T<sub>1</sub>N<sub>0</sub>M<sub>0</sub>) papillary thyroid carcinoma. Approximately 44% patients with under-surveillance DTC and 35% of those with after-surgery DTC were comorbid with Hashimoto&#x2019;s thyroiditis, respectively.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Baseline characteristics of patients with after-surgery DTC.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Characteristics</th>
<th valign="middle" align="center">N = 118</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<bold>Age at surgery, year</bold>
</td>
<td valign="bottom" align="center">30.66 &#xb1; 4.11</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Tumor type, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Papillary thyroid carcinoma</td>
<td valign="bottom" align="center">114 (96.61)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Follicular thyroid carcinoma</td>
<td valign="bottom" align="center">4 (3.39)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Maximum diameter of tumor, cm</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Papillary thyroid carcinoma</td>
<td valign="bottom" align="center">1.21 &#xb1; 0.80</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Follicular thyroid carcinoma</td>
<td valign="bottom" align="center">2.88 &#xb1; 1.84</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Primary tumor status, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T1a/TX</td>
<td valign="bottom" align="center">61 (51.69)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T1b</td>
<td valign="bottom" align="center">43 (36.44)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T2</td>
<td valign="bottom" align="center">6 (5.08)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T3a</td>
<td valign="bottom" align="center">4 (3.39)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T3b</td>
<td valign="bottom" align="center">4 (3.39)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Nodal status at diagnosis, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;N0</td>
<td valign="bottom" align="center">92 (77.97)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;N1a</td>
<td valign="bottom" align="center">20 (16.95)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;N1b</td>
<td valign="bottom" align="center">6 (5.08)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Metastases at diagnosis</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;M0</td>
<td valign="bottom" align="center">118 (100.00)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Recurrence risk after treatment, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;High</td>
<td valign="bottom" align="center">4 (3.39)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Intermediate</td>
<td valign="bottom" align="center">16 (13.56)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Low</td>
<td valign="bottom" align="center">98 (83.05)</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Hashimoto&#x2019;s thyroiditis, n (%)</bold>
</td>
<td valign="bottom" align="center">41 (34.75)</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Extra-thyroid invasion, n (%)</bold>
</td>
<td valign="bottom" align="center">18 (15.25)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Surgical type, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Total thyroidectomy</td>
<td valign="bottom" align="center">45 (38.14)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Lobectomy</td>
<td valign="bottom" align="center">73 (61.86)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Associations of gestational thyrotropin levels with progression of under-surveillance DTC</title>
<p>For patients with under-surveillance DTC, the median duration of surveillance before pregnancy was 0.53 year (IQR: 0.17-2.19). As shown in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, after a median of 2.63 (IQR: 0.90-4.73) year follow-up among 43 patients with under-surveillance DTC, 17 (53.13%) patients in the higher time-weighted average thyrotropin group (n = 32) and 4 (36.36%) of those in the lower time-weighted average thyrotropin group (n = 11) occurred progression of DTC. Results from the Cox proportional risk model indicated that there was no evidence of difference between the two groups in DTC progression-free survival, with adjustment for tumor type, tumor size, the status of Hashimoto&#x2019;s thyroiditis, and age at conception [hazard ratio (HR): 1.51; 95% confidence interval (CI): 0.45, 5.03; <italic>P</italic> = 0.504]. There was also no evidence of associations between any of the other three indicators of gestational thyrotropin levels (instability of change, longitudinal trajectory, thyroid dysfunction) and progression of under-surveillance DTC.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Associations of gestational thyrotropin levels with progression of under-surveillance DTC.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Indicators of gestational thyrotropin levels</th>
<th valign="middle" align="center">N</th>
<th valign="middle" align="center">Tumor size enlargement</th>
<th valign="middle" align="center">Incident LNM</th>
<th valign="middle" align="center">Progression</th>
<th valign="middle" align="center">Crude HR of Progression<break/>(95% CI)</th>
<th valign="middle" align="center">
<italic>P</italic>
</th>
<th valign="middle" align="center">Adjusted HR of Progression<break/>(95% CI)<sup>$</sup>
</th>
<th valign="middle" align="center">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="9" align="left">Time-weighted average</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264; 2.8 (median)</td>
<td valign="middle" align="center">11</td>
<td valign="bottom" align="center">4 (36.36)</td>
<td valign="bottom" align="center">0 (0.00)</td>
<td valign="bottom" align="center">4 (36.36)</td>
<td valign="middle" align="center">Ref</td>
<td valign="middle" align="center">
</td>
<td valign="bottom" align="center">Ref</td>
<td valign="bottom" align="right"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt; 2.8 (median)</td>
<td valign="middle" align="center">32</td>
<td valign="bottom" align="center">14 (43.75)</td>
<td valign="bottom" align="center">3 (9.38)</td>
<td valign="bottom" align="center">17 (53.13)</td>
<td valign="middle" align="center">1.37 (0.45, 4.15)</td>
<td valign="middle" align="center">0.583</td>
<td valign="bottom" align="center">1.51 (0.45, 5.03)</td>
<td valign="bottom" align="center">0.504</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Instability of change</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264; 0.21 (median)</td>
<td valign="middle" align="center">28</td>
<td valign="bottom" align="center">10 (35.71)</td>
<td valign="bottom" align="center">2 (7.14)</td>
<td valign="middle" align="center">12 (42.86)</td>
<td valign="middle" align="center">Ref</td>
<td valign="middle" align="center">
</td>
<td valign="bottom" align="center">Ref</td>
<td valign="bottom" align="right"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt; 0.21 (median)</td>
<td valign="middle" align="center">15</td>
<td valign="bottom" align="center">8 (53.33)</td>
<td valign="bottom" align="center">1 (6.67)</td>
<td valign="middle" align="center">9 (60.00)</td>
<td valign="middle" align="center">1.06 (0.42, 2.62)</td>
<td valign="middle" align="center">0.908</td>
<td valign="bottom" align="center">1.00 (0.39, 2.56)</td>
<td valign="bottom" align="center">0.998</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Longitudinal trajectory</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Decreasing</td>
<td valign="middle" align="center">38</td>
<td valign="bottom" align="center">17 (44.74)</td>
<td valign="bottom" align="center">3 (7.89)</td>
<td valign="middle" align="center">20 (52.63)</td>
<td valign="middle" align="center">Ref</td>
<td valign="middle" align="center">
</td>
<td valign="bottom" align="center">Ref</td>
<td valign="bottom" align="right"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Sustained</td>
<td valign="middle" align="center">4</td>
<td valign="bottom" align="center">1 (25.00)</td>
<td valign="bottom" align="center">0 (0.00)</td>
<td valign="middle" align="center">1 (25.00)</td>
<td valign="middle" align="center">0.89 (0.12, 6.82)</td>
<td valign="middle" align="center">0.914</td>
<td valign="bottom" align="center">0.69 (0.07, 6.61)</td>
<td valign="bottom" align="center">0.749</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Increasing</td>
<td valign="middle" align="center">1</td>
<td valign="bottom" align="center">0 (0.00)</td>
<td valign="bottom" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="right"/>
<td valign="middle" align="center">
</td>
<td valign="bottom" align="right"/>
<td valign="bottom" align="right"/>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Thyroid dysfunction<sup>#</sup>
</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Normal</td>
<td valign="middle" align="center">26</td>
<td valign="bottom" align="center">11 (42.31)</td>
<td valign="bottom" align="center">3 (11.54)</td>
<td valign="middle" align="center">14 (53.85)</td>
<td valign="middle" align="center">Ref</td>
<td valign="middle" align="center">
</td>
<td valign="bottom" align="center">Ref</td>
<td valign="bottom" align="right"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hyperthyroidism or <break/>&#x2003;subclinical hyperthyroidism</td>
<td valign="middle" align="center">6</td>
<td valign="bottom" align="center">2 (33.33)</td>
<td valign="bottom" align="center">0 (0.00)</td>
<td valign="middle" align="center">2 (33.33)</td>
<td valign="middle" align="center">0.62 (0.14, 2.76)</td>
<td valign="middle" align="center">0.532</td>
<td valign="bottom" align="center">0.75 (0.14, 3.97)</td>
<td valign="bottom" align="center">0.737</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>LNM, Lymph node metastasis; HR, hazard ratio; CI, confidence interval; Ref, reference group. <sup>#</sup>: Missing values due to the lack of diagnosis of thyroid dysfunction. <sup>$</sup>: The models among patients with under-surveillance DTC were adjusted for tumor type (papillary thyroid carcinoma; follicular thyroid carcinoma), tumor size at baseline, the status of Hashimoto&#x2019;s thyroiditis (yes; no), and age at conception.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Associations of gestational thyrotropin levels with progression of after-surgery DTC</title>
<p>For those with after-surgery DTC, the median time interval between surgery and pregnancy was 1.36 year (IQR: 0.62-2.82). As shown in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>, after a median of 4.22 (IQR: 2.53-6.02) year follow-up among 118 patients with after-surgery DTC, 8 (12.70%) of patients who achieved the target of thyrotropin suppression (n = 63) and 7 (12.73%) of those not achieving the suppression target (n = 55) occurred structural or biochemical progression of DTC, respectively. The Cox proportional risk model results indicated that there was no evidence of difference between the two groups in DTC progression-free survival, with adjustment for tumor size, the status of Hashimoto&#x2019;s thyroiditis, age at surgery, and surgical type (HR: 1.46; 95% CI: 0.42, 5.05; <italic>P</italic> = 0.553; <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). There was also no evidence of associations between any of the other 4 indicators of gestational thyrotropin levels (time-weighted average, instability of change, longitudinal trajectory, thyroid dysfunction) and the progression of after-surgery DTC (all <italic>P</italic> values &gt; 0.05). Concerning the level of thyrotropin suppression during the gestation, 15 (14.15%) patients occurred after-surgery progression in the no-suppression group (n = 106) while none of the patients showed progression in the mild or complete suppression group (n = 12).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Associations of gestational thyrotropin levels with progression of after-surgery DTC.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="2" align="left">Indicators of gestational thyrotropin levels</th>
<th valign="middle" align="center">N</th>
<th valign="middle" align="center">&#x2265; 2&#xa0;mm growth in the size of existing cancer foci in the contralateral thyroid</th>
<th valign="middle" align="center">&#x2265; 3&#xa0;mm growth in the existing metastatic foci</th>
<th valign="middle" align="center">Incident LNM</th>
<th valign="middle" align="center">Biochemical progression</th>
<th valign="middle" align="center">Progression</th>
<th valign="middle" align="center">Crude HR of progression (95% CI)</th>
<th valign="middle" align="center">
<italic>P</italic>
</th>
<th valign="middle" align="center">Adjusted HR of progression (95% CI)<sup>$</sup>
</th>
<th valign="middle" align="center">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="12" align="left">Time-weighted average<sup>*</sup>
</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264; 2.8 (median)</td>
<td valign="middle" colspan="2" align="center">56</td>
<td valign="middle" align="center">3 (5.36)</td>
<td valign="middle" align="center">2 (3.57)</td>
<td valign="middle" align="center">2 (3.57)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">7 (12.50)</td>
<td valign="middle" align="center">Ref</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Ref</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt; 2.8 (median)</td>
<td valign="middle" colspan="2" align="center">48</td>
<td valign="middle" align="center">2 (4.17)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">2 (4.17)</td>
<td valign="middle" align="center">2 (4.17)</td>
<td valign="middle" align="center">6 (12.50)</td>
<td valign="middle" align="center">1.03 (0.33, 3.22)</td>
<td valign="middle" align="center">0.956</td>
<td valign="middle" align="center">0.94 (0.25, 3.56)</td>
<td valign="middle" align="center">0.924</td>
</tr>
<tr>
<th valign="middle" colspan="12" align="left">Instability of change<sup>*</sup>
</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264; 0.21 (median)</td>
<td valign="middle" colspan="2" align="center">51</td>
<td valign="middle" align="center">4 (7.84)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">3 (5.88)</td>
<td valign="middle" align="center">1 (1.96)</td>
<td valign="middle" align="center">8 (15.69)</td>
<td valign="middle" align="center">Ref</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Ref</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt; 0.21 (median)</td>
<td valign="middle" colspan="2" align="center">53</td>
<td valign="middle" align="center">1 (1.89)</td>
<td valign="middle" align="center">2 (3.77)</td>
<td valign="middle" align="center">1 (1.89)</td>
<td valign="middle" align="center">1 (1.89)</td>
<td valign="middle" align="center">5 (9.43)</td>
<td valign="middle" align="center">0.73 (0.23, 2.30)</td>
<td valign="middle" align="center">0.586</td>
<td valign="middle" align="center">0.48 (0.13, 1.80)</td>
<td valign="middle" align="center">0.278</td>
</tr>
<tr>
<th valign="middle" colspan="12" align="left">Longitudinal trajectory<sup>*</sup>
</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Decreasing</td>
<td valign="middle" colspan="2" align="center">93</td>
<td valign="middle" align="center">5 (5.38)</td>
<td valign="middle" align="center">2 (2.15)</td>
<td valign="middle" align="center">4 (4.30)</td>
<td valign="middle" align="center">1 (1.08)</td>
<td valign="middle" align="center">12 (12.90)</td>
<td valign="middle" align="center">Ref</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Ref</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Sustained</td>
<td valign="middle" colspan="2" align="center">5</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Increasing</td>
<td valign="middle" colspan="2" align="center">6</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">1 (16.67)</td>
<td valign="middle" align="center">1 (16.67)</td>
<td valign="middle" align="center">1.38 (0.18, 10.80)</td>
<td valign="middle" align="center">0.760</td>
<td valign="middle" align="center">2.78 (0.26, 30.20)</td>
<td valign="middle" align="center">0.401</td>
</tr>
<tr>
<th valign="middle" colspan="12" align="left">Thyroid dysfunction</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Normal</td>
<td valign="middle" colspan="2" align="center">25</td>
<td valign="middle" align="center">2 (8.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">1 (4.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">3 (12.00)</td>
<td valign="middle" align="center">Ref</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Ref</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Overt or <break/>&#x2003;subclinical <break/>&#x2003;hyperthyroidism</td>
<td valign="middle" colspan="2" align="center">47</td>
<td valign="middle" align="center">3 (6.38)</td>
<td valign="middle" align="center">1 (2.13)</td>
<td valign="middle" align="center">2 (4.26)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">6 (12.77)</td>
<td valign="middle" align="center">0.90 (0.22, 3.79)</td>
<td valign="middle" align="center">0.891</td>
<td valign="middle" align="center">1.42 (0.17, 11.77)</td>
<td valign="middle" align="center">0.743</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Mixed <break/>&#x2003;subclinical <break/>&#x2003;hyper- or <break/>&#x2003;hypo-thyroidism</td>
<td valign="middle" colspan="2" align="center">3</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="12" align="left">Thyrotropin suppression<sup>#</sup>
</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No suppression</td>
<td valign="middle" colspan="2" align="center">106</td>
<td valign="middle" align="center">5 (4.72)</td>
<td valign="middle" align="center">2 (1.89)</td>
<td valign="middle" align="center">4 (3.77)</td>
<td valign="middle" align="center">4 (3.77)</td>
<td valign="middle" align="center">15 (14.15)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Mild suppression</td>
<td valign="middle" colspan="2" align="center">10</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Complete <break/>&#x2003;suppression</td>
<td valign="middle" colspan="2" align="center">2</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="12" align="left">Thyrotropin suppression achieving target</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" colspan="2" align="center">55</td>
<td valign="middle" align="center">2 (3.64)</td>
<td valign="middle" align="center">1 (1.82)</td>
<td valign="middle" align="center">1 (1.82)</td>
<td valign="middle" align="center">3 (5.45)</td>
<td valign="middle" align="center">7 (12.73)</td>
<td valign="middle" align="center">Ref</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Ref</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" colspan="2" align="center">63</td>
<td valign="middle" align="center">3 (4.76)</td>
<td valign="middle" align="center">1 (1.59)</td>
<td valign="middle" align="center">3 (4.76)</td>
<td valign="middle" align="center">1 (1.59)</td>
<td valign="middle" align="center">8 (12.70)</td>
<td valign="middle" align="center">1.05 (0.36, 3.04)</td>
<td valign="middle" align="center">0.927</td>
<td valign="middle" align="center">1.46 (0.42, 5.05)</td>
<td valign="middle" align="center">0.553</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>LNM, Lymph node metastasis; HR, hazard ratio; CI, confidence interval; Ref, reference group. <sup>*</sup>: Missing values due to the number of measurements of thyrotropin during gestation was less than two. <sup>#</sup>Missing values due to the lack of diagnosis of thyroid dysfunction. <sup>$</sup>The models were adjusted for tumor size at surgery, the status of Hashimoto&#x2019;s thyroiditis (yes; no), age at surgery, and surgical type (thyroid lobectomy; total thyroidectomy).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Adjusted Kaplan-Meier survival curves for after-surgery progression of DTC among patients achieving or not achieving the target of thyrotropin suppression during gestation. (The models were adjusted for tumor size at surgery, the status of Hashimoto&#x2019;s thyroiditis (yes; no), age at surgery, and surgical type (thyroid lobectomy; total thyroidectomy).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1369344-g001.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In this retrospective cohort study, we adopted six distinct indicators to comprehensively characterize gestational thyrotropin levels in terms of the average of thyrotropin level, instability of change in thyrotropin, longitudinal trajectory of thyrotropin, type of gestational thyroid dysfunction, level of thyrotropin suppression, and achievement of thyrotropin target during the pregnancy. We observed no evidence of associations between these indicators of gestational thyrotropin levels and disease progression in both pregnant women with under-surveillance DTC and those with after-surgery DTC.</p>
<p>First, our study highlighted the important clinical question regarding the monitoring and treatment of gestational thyrotropin levels among pregnant women with a DTC history, and answered this question by exploring the associations of gestational thyrotropin levels with the disease progression of DTC. In previous studies, this topic has mainly been explored among the non-pregnant population, with contradictory findings. Among patients under active surveillance, Sugitani et&#xa0;al. (<xref ref-type="bibr" rid="B14">14</xref>) did not observe the associations of baseline thyrotropin or mean thyrotropin during follow-up with the progression of T1<sub>a</sub>N<sub>0</sub>M<sub>0</sub> papillary thyroid microcarcinoma; by contrast, Ito et&#xa0;al. (<xref ref-type="bibr" rid="B6">6</xref>) and Kim et&#xa0;al. (<xref ref-type="bibr" rid="B15">15</xref>) used time-weighted indicator of thyrotropin levels to account for the unequal time intervals across multiple measurements and found that lower thyrotropin may be related to suppression of enlargement of low-risk papillary thyroid microcarcinoma, especially for patients aged &lt; 40 years. Among patients after surgical treatment, previous studies of associations between thyrotropin levels and progression of DTC have also been focused on the non-pregnant population. Briefly, the effect of thyrotropin suppression in decreasing the risk of recurrence has been generally acknowledged for patients with moderate-to-high-risk DTC but remained inconclusive for patients with low-risk DTC (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>Notably, these findings from the non-pregnant population cannot be directly translated to the pregnant population due to the difference in thyrotropin levels between the pregnancy and non-pregnancy periods. The normal range and change pattern of thyrotropin levels during pregnancy is greatly influenced by the changes in pregnancy-specific hormones such as estrogen and human chorionic gonadotropin from the early, middle, to late pregnancy (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>Second, our study was advantageous in not only focusing on patients with after-surgery DTC but also on those with under-surveillance DTC. Active surveillance has been acknowledged as an option for appropriately selected low-risk patients with DTC, but follow-up studies among pregnant women have been scarce, especially in China. Our study addressed this gap and the preliminary results did not observe evidence of statistical associations between gestational thyrotropin levels and disease progression in pregnant women with under-surveillance DTC. However, the results were derived from only 43 eligible patients and thus should be validated in future large-sample studies before clinical translation.</p>
<p>Third, our study was novel in capturing the dynamic change of gestational thyrotropin levels by using multiple statistical-method-driven and clinically meaningful indicators. Based on our literature review, previous studies have assessed thyrotropin levels using static, single-point measurement (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>), a simple mean of multiple measurements (<xref ref-type="bibr" rid="B14">14</xref>), or the time-weighted average of multiple measurements (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B15">15</xref>). However, these coarsely-grained indicators could only provide an average estimate of thyrotropin levels with little information about the longitudinal trajectory or instability of change over time. To capture the characteristics of multiple measurements of gestational thyrotropin levels in a fine-grained manner, our study took advantage of the latent class trajectory model (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>), a statistical method to simultaneously consider repeated measurements as a whole and classify the population into heterogeneous clusters with intra-cluster individuals following similar trajectory of repeated measurements. Additionally, we adopted a formula to calculate the instability of change (i.e., variability of measurements across time points) previously used in other topics (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>In addition to the statistical-method assessment, our indicators of gestational thyrotropin levels have also considered clinical implications. We carefully evaluated pregnant women&#x2019;s trimester-specific thyroid dysfunctions, including hyperthyroidism, subclinical hyperthyroidism, hypothyroidism, and subclinical hypothyroidism. We also examined the level of thyrotropin suppression during pregnancy and whether it achieved the target of thyrotropin suppression corresponding to the risk of recurrence. Our findings suggested that approximately half of pregnant patients with after-surgery DTC did not rigorously achieve the target of thyrotropin suppression during pregnancy, but this appeared to have a minor influence on the risk of disease progression.</p>
<p>Findings of our study should be interpreted cautiously. Our results only indicated that thyrotropin levels within the specific gestation period seemed to play a minor role in the risk of disease progression of DTC. This is not a denying to the long-lasting accumulated effect of thyrotropin levels across pre-pregnancy and postnatal periods on the disease progression of DTC. Additionally, the moderate sample size and relatively low incidence of progression limited the statistical power of multiple regression analyses and precluded us from further conducting subgroup analyses. We cannot accurately assess whether maternal advanced age, parity, assisted reproduction, and other factors moderated the exposure-outcome associations. In addition, restricted by the data available, other variables such as information on L-T4 therapy, hCG, and other hormones were not evaluated. These limitations were relatively common in the single institution-based studies. Nevertheless, this type of study had the advantage of accuracy and homogeneity in diagnosis and treatment and high-standard quality control of data integrity. All of the exposures, covariates, and outcomes used in this study had been carefully validated by experienced clinicians, ensuring the reliability of our study findings. Moreover, our study was unique in the focus on pregnant women with DTC, which was a potentially high-risk but largely ignored study population by previous studies.</p>
<p>The findings of our study had important implications for clinical practice. During regular check-ups for maternal thyrotropin levels during pregnancy, clinicians might pay more attention to the clinically meaningful influence on adverse pregnancy outcomes and the concern on disease progression of DTC seemed not much necessary, in most cases, according to findings of our study. Furthermore, clinicians and patients might persist in a long-term observation of thyrotropin levels during the life course, rather than the temporary fluctuations during the gestation period. Considering the severe supply-and-demand imbalance of medical resources, especially for the management of high-risk pregnant women, our findings have significant implications for resource allocation and prioritization in real-world settings.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>Overall, the risk of progression of under-surveillance or after-surgery DTC was not associated with gestational thyrotropin levels. However, the life-long observation of thyrotropin levels might not be omitted for DTC patients. Our findings also reminded clinicians to prioritize the consideration of adverse pregnancy outcomes when optimizing thyrotropin levels for pregnant women previously diagnosed with DTC.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Medical Research Ethics Committee of Peking University Third Hospital. 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 because this study is a retrospective study based on the historical diagnosis and treatment data of the hospital. Written informed consent cannot be obtained and has been approved by the Ethics Committee.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>XL: Investigation, Writing &#x2013; original draft. PF: Investigation, Writing &#x2013; original draft. W-CX: Data curation, Formal analysis, Visualization, Writing &#x2013; review &amp; editing. FM: Investigation, Resources, Writing &#x2013; review &amp; editing. FZ: Investigation, Writing &#x2013; review &amp; editing. SZ: Investigation, Writing &#x2013; review &amp; editing. JC: Investigation, Writing &#x2013; review &amp; editing. RS: Investigation, Writing &#x2013; review &amp; editing. B-KS: Data curation, Writing &#x2013; review &amp; editing. S-BS: Investigation, Project administration, Writing &#x2013; review &amp; editing. CY: Project administration, Writing &#x2013; review &amp; editing. ZL: Conceptualization, Funding acquisition, Project administration, Methodology, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The study was funded by the National Natural Science Foundation of China (82373694), Young Elite Scientists Sponsorship Program by CAST (2023QNRC001), Beijing Education Sciences Planning Program during the 14<sup>th</sup> Five-Year Plan (BECA23111), and the Fundamental Research Funds for the Central Universities (BMU2021YJ030).</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The 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="s11" 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>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fendo.2024.1369344/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2024.1369344/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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