BMC Endocrine Disorders最新文献

{"title":"Dynamic changes in metabolic syndrome components and chronic kidney disease risk: a population-based prospective cohort study.","authors":"Yue Huang, Rong Fu, Juwei Zhang, Jinsong Zhou, Siting Chen, Zheng Lin, Xiaoxu Xie, Zhijian Hu","doi":"10.1186/s12902-025-01958-5","DOIUrl":"https://doi.org/10.1186/s12902-025-01958-5","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the relationships between dynamic changes in metabolic syndrome (MetS) components and chronic kidney disease (CKD) risk.</p><p><strong>Methods: </strong>Data from the UK Biobank, including baseline assessments from 2006 to 2010, repeat assessments in 2012-2013, and linked national health records, were analyzed. MetS components consisted of abdominal obesity, elevated blood pressure (BP), fasting blood glucose (FBG), serum uric acid (SUA), and lipid abnormalities. The Kaplan-Meier method and log-rank test were used to analyze CKD incidence and group differences. Cox regression models assessed the association between dynamic changes in MetS components and CKD risk.</p><p><strong>Results: </strong>The study enrolled 455,060 participants (45.7% male, 18.4% aged 65 years or older) with a median follow-up of 12.68 years. Those with MetS had a significantly higher 10-year CKD cumulative incidence probability of CKD than those without MetS (4.14% VS 1.14%). Multivariate analysis showed all baseline metabolic abnormalities were linked to CKD risk with HRs from 1.40(1.35-1.45) to 1.85 (1.78-1.92), and MetS strongly associated with CKD (HR: 2.31). CKD risk rose with more MetS components and progression stages. Notably, with FBG being the exception, the four MetS components that shifted from normal at baseline to abnormal at follow - up were associated with elevated CKD risk, with HRs (95% CI) ranging from 1.21 (1.00-1.48) to 1.73 (1.34-2.24). Participants with high baseline SUA, even if it normalized at follow - up, still faced a 1.30 - fold higher CKD risk (95% CI: 1.25-1.35), distinct from other components. For those developing one and ≥ 2 new MetS components at follow - up, the CKD risk HRs (95% CI) were 1.49 (1.00-2.35) and 2.26 (1.21-4.24) respectively.</p><p><strong>Conclusion: </strong>MetS and its component changes are significantly associated with CKD risk, in a dose - response pattern. Incorporating SUA into MetS assessments enhances risk identification, especially noting females' higher susceptibility to elevated SUA. Dynamic monitoring of MetS components is crucial for assessing and predicting CKD risk.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"137"},"PeriodicalIF":2.8,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144179855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychological factors and obesity, not thyroid biomarkers, predict thyroid-dependent quality of life in treated hypothyroidism: a cross-sectional study.","authors":"Bence Bakos, Tibor Solymosi, Balázs Szili, Ágnes Vincze, Szilvia Mészáros, Márk Stempler, Richárd Ármós, András Kiss, Anna Bakos, Nikolette Szücs, Péter Reismann, Judit Tőke, Péter Pusztai, Péter Lakatos, István Takács","doi":"10.1186/s12902-025-01962-9","DOIUrl":"https://doi.org/10.1186/s12902-025-01962-9","url":null,"abstract":"<p><strong>Background: </strong>A significant number of patients with primary hypothyroidism report persistent symptoms and decreased quality of life (QoL) despite biochemically adequate levothyroxine replacement. Individual variations in thyroxine conversion, autoimmune inflammation, and psychological factors have all been implicated as a potential cause.</p><p><strong>Methods: </strong>In this cross-sectional study we have examined the association of numerous demographic, disease-specific, and laboratory parameters as well as three patient reported outcome measures with thyroid-dependent QoL as measured by the Underactive Thyroid-Dependent Quality of Life Questionnaire. Patients were stringently selected to minimize the confounding effect of comorbidities or inadequate hormone replacement. We used validated questionnaires to assess somatosensory amplification, depression, and symptom number. Determinants of QoL were evaluated using uni- and multivariable linear modeling, and mediation analysis.</p><p><strong>Results: </strong>Our final sample consisted of 157 patients. 70.7% had Hashimoto's, whereas 29.3% had iatrogenic hypothyroidism. Mean age was 49.5 ± 14.5 years, disease duration: 11.2 ± 8.2 years, thyroxine dose: 1.2 ug/kg bodyweight, TSH: 1.8 ± 0.9 mIU/L. Thyroid-specific biomarkers including TSH, FT3, FT4, rT3, SPINA-GD, anti-TPO, and SHBG had no association with thyroid-dependent QoL. Somatosensory amplification was a strong predictor of the presence and perceived bother of the most common hypothyroidism-associated symptoms. In our final multivariable model (r² = 0.31) the factors associated with thyroid-dependent QoL were somatosensory amplification (p = 0.002), BMI (p = 0.021), and depression (p < 0.001).</p><p><strong>Conclusion: </strong>These results suggest that psychological factors, particularly somatosensory amplification, might play a major role in influencing QoL in hypothyroid individuals on adequate levothyroxine replacement. Our findings do not corroborate a significant role for autoimmune inflammation or tissue-level hypothyroidism.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"136"},"PeriodicalIF":2.8,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144149182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determining the best dose of lithium carbonate as adjuvant therapy to radioactive iodine for the treatment of hyperthyroidism: a systematic review and meta-analysis.","authors":"Mohamed Abd-ElGawad, Mahmoud Shaaban Abdelgalil, Manar Mabrouk, Sara Adel Abdelkader Saed, Moaz Salama, Ahmed Farid Gadelmawla","doi":"10.1186/s12902-024-01821-z","DOIUrl":"10.1186/s12902-024-01821-z","url":null,"abstract":"<p><strong>Background: </strong>Hyperthyroidism poses challenges, and common treatments like Radioactive Iodine (RAI) have limitations, prompting exploration of adjunctive approaches. This meta-analysis evaluates the combined impact of RAI and Lithium carbonate (LiCO3) on cure rates and thyroid hormone levels.</p><p><strong>Methods: </strong>We systematically searched Cochrane Library, PubMed, Scopus, and Web of Science for studies comparing LiCO3 combined with RAI to RAI alone. Pooled results analyzed cure rates and Free T3/T4 changes. A subgroup analysis was conducted based on LiCO3 dosage and treatment duration, while meta-regression was performed to assess covariates such as the patient's age, RAI dose, and lithium dose. The risk of bias was evaluated using ROB2, ROBINS-1, and NOS, while the statistical analyses were conducted using Revman software 5.4.1.</p><p><strong>Results: </strong>Analysis of 14 studies involving 2047 patients revealed a significantly increased cure rate with RAI and LiCO3 compared to RAI alone (RR 1.12, 95% CI [1.03,1.23], p = 0.01). Subgroup analysis revealed higher cure rates with short-duration intensified doses of LiCO3, while short-duration diluted doses reduced cure rates. No significant differences were noted in euthyroid and hypothyroid states. Changes in free T3 showed no significant difference between the arms at 7 days and the most common time point. A significant decrease in free T4 favored RAI with LiCO3 at 7 days (MD -4.90, 95% CI [-7.91, -1.89], p = 0.001), and the most common time point (MD -3.83, 95% CI [-7.45, -0.20], p = 0.04). Meta-regression analysis indicated better cure rates in older patients (p < 0.001) and lower total lithium doses (p < 0.001).</p><p><strong>Conclusion: </strong>Treatment with RAI combined with LiCO3 significantly enhanced cure rates, particularly when using short-duration intensified doses of LiCO3. Additionally, LiCO3 effectively reduced T4 levels without altering T3 levels. Future research is needed to validate our findings.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"135"},"PeriodicalIF":2.8,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12100783/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144132127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between pathological features and radioactive iodine-refractory recurrent papillary thyroid carcinoma: with mutation analysis using recurrent samples.","authors":"Thi Nhung Nguyen, Zhanna Mussazhanova, Hirokazu Kurohama, Van Dong Hoang, Ngoc Ha Le, Thi Minh Hanh Ngo, Van Phu Thang Nguyen, Katsuya Matsuda, Yuki Matsuoka, Katsiaryna Tratsiakova, Thi Ngoc Anh Nguyen, Yerkezhan Sailaubekova, Thi Phuong Nguyen, Minh Son Le, Masahiro Nakashima","doi":"10.1186/s12902-025-01954-9","DOIUrl":"10.1186/s12902-025-01954-9","url":null,"abstract":"<p><strong>Background: </strong>Although papillary thyroid carcinomas (PTC) are usually indolent in nature and clinically controllable, two-thirds of metastatic diseases become radioactive iodine-refractory (RAI-R). This study aimed to determine the role of pathological features, BRAF^V600E, TERT promoter (TERT-p), and their combinations on Vietnamese patients with RAI-R recurrent PTC.</p><p><strong>Methods: </strong>This cross-sectional study included 174 cases of locoregional recurrent PTC, including 135 and 39 RAI-R and RAI-avid (RAI-A) cases, respectively. Logistic regression analyses were used to evaluate the associations between pathological features, mutations, and RAI-R with tissues from recurrent lesions.</p><p><strong>Results: </strong>Loss of polarity/loss of cell cohesiveness (LOP/LCC) component was exclusively observed in recurrent cancers in the RAI-R group. RAI-R was associated with BRAF^V600E mutation, TERT-p mutation, BRAF^V600E/TERT-p single mutant (Smut), BRAF^V600E/TERT-p double mutant (Dmut), tall cell component, and mitosis ≥ 2/2 mm² in the unadjusted logistic regression analysis. Multivariable logistic regression analysis revealed that BRAF^V600E mutation and Dmut were independent predictors of RAI-R. The presence of Dmut (odds ratio [OR] = 6.64) was more significantly associated with RAI-R compared with that of Smut (OR = 2.75). There was a marginal association between tall cell > 5%, mitosis count ≥ 2/2 mm² and RAI-R. The combination of BRAF^V600E/tall cell components was the strongest predictor of RAI-R.</p><p><strong>Conclusions: </strong>RAI-R PTC cases were independently associated with BRAF^V600E, Dmut. The association between Dmut and RAI-R PTC was stronger than that between Smut and RAI-R PTC. Future studies should focus on elucidating the role of mitotic count and LOP/LCC in RAI-R PTC.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"134"},"PeriodicalIF":2.8,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12090457/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144109705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictive value of growth hormone and insulin-like growth factor-1 axis for gestational diabetes mellitus: a prospective cohort study.","authors":"Lingling Cui, Yibo Wang, Zhiqian Li, Xiaoli Yang, Huijun Zhou, Zhengya Zhang, Yuting Gao, Linpu Ji, Ruijie Sun, Luying Qin","doi":"10.1186/s12902-025-01953-w","DOIUrl":"10.1186/s12902-025-01953-w","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to explore the role of growth hormone/insulin-like growth factor-1 risk factor axis in gestational diabetes mellitus, as well as to rank independently risk factors.</p><p><strong>Methods: </strong>This was a prospective cohort study conducted between April 2019 and April 2022. The baseline data and serum samples were collected and analyzed from 241 pregnant women during the second trimester. Logistic regression and restricted cubic spline analyses were conducted to assess the relationship between GH and IGF-1 correlated with risk of GDM. Back-propagation artificial neural network (BPNN) and Receiver operating characteristic (ROC) curve analysis were performed to identify the predictive ability of the GH/IGF-1 axis for GDM.</p><p><strong>Results: </strong>The present study found that the higher serum levels of IGF-1 and the lower serum levels of GH in pregnant women were significantly correlated with risk of GDM. GH and IGF-1 were different in both case and control groups(P < 0.05). BPNN analysis identified IGF-1 as accounting for the highest proportion in the ranking of GDM risk prediction weights (up to 25.4%). Furthermore, the area under ROC curve (AUC) value of the GH and IGF-1 combinations reached 0.770 (95%CI:0.707, 0.83).</p><p><strong>Conclusions: </strong>GH (growth hormone) and IGF-1 (insulin-like growth factor 1) are intricately linked to the development of gestational diabetes mellitus (GDM). Disruptions in the GH/IGF-1 axis can trigger insulin resistance, thereby elevating the risk of GDM.</p><p><strong>Trial registration: </strong>Current Controlled Trials: ChiCTR2000028811. Registration Date:20,200,104.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"132"},"PeriodicalIF":2.8,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12087125/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144101346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Insular thyroid carcinoma: epidemiological pattern, factors contributing to recurrence and distant metastasis.","authors":"Omar Hamdy, Shadi Awny, Mohamed H Sous, Mohamed A Abdelfattah, Ahmed E Eladl, Amr F Elalfy","doi":"10.1186/s12902-025-01956-7","DOIUrl":"10.1186/s12902-025-01956-7","url":null,"abstract":"","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"133"},"PeriodicalIF":2.8,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12087184/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144101267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expression and clinical significance of LncRNA Kcnq1ot1 in type 2 diabetes mellitus patients with osteoarthritis.","authors":"Hai Hu, Can Zhou, Binbin Jiang, Song Wu, Ting Cai, Jie Yu, Liguo Zhu, Biao Zhou","doi":"10.1186/s12902-025-01915-2","DOIUrl":"10.1186/s12902-025-01915-2","url":null,"abstract":"<p><strong>Objective: </strong>We aimed to investigate the expression of lncRNA Kcnq1ot1 in T2DM patients with OA, as well as its correlation with serum inflammatory factors and clinical outcomes of the patients.</p><p><strong>Methods: </strong>This prospective observational cohort study included a total of 50 patients with type 2 diabetes mellitus (T2DM), 50 patients with osteoarthritis (OA), and 51 patients with both T2DM and OA between March 2020 and March 2023. The serum TNF-α, interleukin (IL)-6, IL-1β and C-reactive protein (CRP) levels were measured using enzyme-linked immunosorbent assay (ELISA). To determine the expression of LncRNA Kcnq1ot1, RT-qPCR was used. Demographic, clinical statistics, lipid metabolism and nutritional indicators were collected. All data used SPSS 26.0 to statistical analyses.</p><p><strong>Results: </strong>The T2DM + OA group had significantly higher BMI and LDLC levels compared to the T2DM group (p < 0.05). The serum levels of LncRNA Kcnq1ot1 were significantly higher in the T2DM + OA group compared to the OA group and T2DM group (p < 0.05). Pearson's analysis supported a positive correlation between LncRNA Kcnq1ot1 and IL-6 and IL-1β levels. In addition, LncRNA Kcnq1ot1 could be a potential biomarker for diagnosing the occurrence of T2DM patients with OA. Moreover, LncRNA Kcnq1ot1, BMI, IL-6, Low density lipoprotein cholesterol (LDLC) were the risk factors for T2DM patients with OA.</p><p><strong>Conclusion: </strong>This study showed that the serum LncRNA Kcnq1ot1 levels was remarkably elevated in T2DM patients with OA. This study might provide new targets and a comprehensive approach to treatment in T2DM patients with OA.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"131"},"PeriodicalIF":2.8,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12082958/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of intermittent fasting on obesity and metabolic indices in patients with metabolic syndrome: a systematic review and meta analysis.","authors":"Shengxuan Zhang, Bixuan Sun, Lei Sun, Shijian Zou, Qilan Chen","doi":"10.1186/s12902-025-01952-x","DOIUrl":"https://doi.org/10.1186/s12902-025-01952-x","url":null,"abstract":"<p><strong>Objective: </strong>Dietary patterns play a vital role in the health management of individuals with metabolic syndrome. Many recent studies have shown that intermittent fasting (IF) has better effects, such as improving obesity. Nevertheless, it warrants further investigation to determine which approach is more effective in comparison to continuous energy restriction (CR), particularly when total calorie intake shows minimal variation. Consequently, it is crucial to evaluate the degree of enhancement of the two dietary patterns concerning different aspects of metabolic syndrome. This study presents a meta-analysis of randomized controlled trials (RCTs) aimed at comparing the impacts of IF and CR on obesity and glucolipid metabolism in individuals diagnosed with metabolic syndrome.</p><p><strong>Methods: </strong>In August 2024, a thorough examination of English-language literature was performed across the PubMed, Medline, Embase, and Cochrane Library databases. The meta-analyses was performed according to the established guidelines and reported the results. Weight change, Body Mass Index (BMI) change, and triglyceride (TG) level change were designated as key assessment indicators, while blood pressure, blood glucose, hip circumference, and waist circumference served as supplementary indicators for comparative analysis.</p><p><strong>Result: </strong>A total of nine studies involving 626 patients were analyzed, focusing on the influence of dietary patterns on obesity, cholesterol levels, and insulin resistance among individuals diagnosed with metabolic syndrome. Both dietary patterns were beneficial for patients with metabolic syndrome. However, IF was better than CRin terms of improvement in obesity over the trial period (mean -1.77, 95% CI [-3.06, -0.48]), and it was more conducive to a reduction in TG levels, which was beneficial in terms of improving insulin resistance (mean -10.16, 95% CI [-18.88, -1.45]).</p><p><strong>Conclusion: </strong>Given its notable advantages for obesity, lipids, and insulin resistance, along with improved patient adherence, IF may be regarded as a more effective dietary approach for individuals with metabolic syndrome. Nonetheless, the long-term effectiveness still necessitates additional validation.</p><p><strong>Prospero registration: </strong>CRD42024587335.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"130"},"PeriodicalIF":2.8,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12076832/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144076082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Explainable predictive models of short stature and exploration of related environmental growth factors: a case-control study.","authors":"Jiani Liu, Xin Zhang, Wei Li, Francis Manyori Bigambo, Dandan Wang, Xu Wang, Beibei Teng","doi":"10.1186/s12902-025-01936-x","DOIUrl":"10.1186/s12902-025-01936-x","url":null,"abstract":"<p><strong>Background: </strong>Short stature is a prevalent pediatric endocrine disorder for which early detection and prediction are pivotal for improving treatment outcomes. However, existing diagnostic criteria often lack the necessary sensitivity and specificity because of the complex etiology of the disorder. Hence, this study aims to employ machine learning techniques to develop an interpretable predictive model for normal-variant short stature and to explore how growth environments influence its development.</p><p><strong>Methods: </strong>We conducted a case‒control study including 100 patients with normal-variant short stature who were age-matched with 200 normal controls from the Endocrinology Department of Nanjing Children's Hospital from April to September 2021. Parental surveys were conducted to gather information on the children involved. We assessed 33 readily accessible medical characteristics and utilized conditional logistic regression to explore how growth environments influence the onset of normal-variant short stature. Additionally, we evaluated the performance of the nine machine learning algorithms to determine the optimal model. The Shapley additive explanation (SHAP) method was subsequently employed to prioritize factor importance and refine the final model.</p><p><strong>Results: </strong>In the multivariate logistic regression analysis, children's weight (OR = 0.92, 95% CI: 0.86, 0.99), maternal height (OR = 0.79, 95% CI: 0.72, 0.87), paternal height (OR = 0.83, 95% CI: 0.75, 0.91), sufficient nighttime sleep duration (OR = 0.48, 95% CI: 0.26, 0.89), and outdoor activity time exceeding three hours (OR = 0.02, 95% CI: 0.00, 0.66) were identified as protective factors for normal-variant short stature. This study revealed that parental height, caregiver education, and children's weight significantly influenced the prediction of normal-variant short stature risk, and both the random forest model and gradient boosting machine model exhibited the best discriminatory ability among the 9 machine learning models.</p><p><strong>Conclusions: </strong>This study revealed a close correlation between environmental growth factors and the occurrence of normal-variant short stature, particularly anthropometric characteristics. The random forest model and gradient boosting machine model performed exceptionally well, demonstrating their potential for clinical applications. These findings provide theoretical support for clinical identification and preventive measures for short stature.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"129"},"PeriodicalIF":2.8,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12067680/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143978074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction Note: PIWIL2 restrains the progression of thyroid cancer via interaction with miR-146a-3p.","authors":"Xiaoxiao Lu, Qingyun Zhu, Hong Du, Mingjun Gu, Xiangqi Li","doi":"10.1186/s12902-025-01950-z","DOIUrl":"10.1186/s12902-025-01950-z","url":null,"abstract":"","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"127"},"PeriodicalIF":2.8,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12067664/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144062215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}