BMC Endocrine Disorders最新文献

{"title":"Clinical and serological characteristics of type 3 APS, isolated T1DM and LADY/LADA.","authors":"Yawei Qiu, Lin Guo, Hongyan Pan, Huaqiu He, Qiang Li","doi":"10.1186/s12902-025-01969-2","DOIUrl":"10.1186/s12902-025-01969-2","url":null,"abstract":"<p><strong>Background: </strong>There are few studies comparing Type 3 autoimmune polyendocrine syndromes (APS) with isolated type 1 diabetes mellitus (T1DM), latent autoimmune diabetes in youth (LADY), and latent autoimmune diabetes in adults (LADA) in the Chinese population. This study aims to report the clinical and serological characteristics of Chinese patients with Type 3 APS, isolated T1DM, LADY and LADA, and to make comparisons.</p><p><strong>Methods: </strong>This study retrospectively analyzed the clinical and serological characteristics of hospitalized patients with Type 3 APS, T1DM, LADY and LADA who were admitted to our center.</p><p><strong>Results: </strong>A total of 69 patients were included in this study, comprising 18 with Type 3 APS, 20 with T1DM, and 31 with LADY/LADA. The majority of Type 3 APS patients were female, whereas T1DM and LADY/LADA groups had a higher proportion of males. The median age and onset age of diabetes in the Type 3 APS group were 35.50 (31.00, 52.50) years and 30.50 (26.75, 47.25) years, respectively. Diabetes and autoimmune thyroid disease (AITD) in Type 3 APS patients may occur simultaneously or several years apart. The levels of GADAb and thyroid autoantibodies in Type 3 APS patients were often higher.</p><p><strong>Conclusions: </strong>Type 3 APS exhibits differences when compared to isolated T1DM and LADY/LADA. For patients with TIDM or LADY/LADA, especially female patients, those over 30 years old or with high-titer GADAb, attention should be paid to screening for APS 3, including the detection of thyroid autoantibodies. Patients suspected or confirmed to have Type 3 APS need long-term follow-up.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"155"},"PeriodicalIF":2.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12220194/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538768","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":"Prediction of recurrence after surgery for pituitary adenoma using machine learning- based models: systematic review and meta-analysis.","authors":"Ibrahim Mohammadzadeh, Bardia Hajikarimloo, Behnaz Niroomand, Nasira Faizi, Pooya Eini, Mohammad Amin Habibi, Alireza Mohseni, Mohammadmahdi Sabahi, Abdulrahman Albakr, Michael Karsy, Hamid Borghei-Razavi","doi":"10.1186/s12902-025-01955-8","DOIUrl":"10.1186/s12902-025-01955-8","url":null,"abstract":"<p><strong>Background: </strong>Predicting pituitary adenoma (PA) recurrence after surgical resection is critical for guiding clinical decision-making, and machine learning (ML) based models show great promise in improving the accuracy of these predictions. These models can provide valuable insights to surgeons and oncologists, helping them tailor personalized treatment plans, enhance patient prognostication, and optimize follow-up strategies.</p><p><strong>Methods: </strong>We systematically searched PubMed, Scopus, Embase, Cochrane Library, and Web of Science databases until November 2024, applying PRISMA guidelines.</p><p><strong>Results: </strong>Out of 1240 studies screened, six met our eligibility criteria involving ML-based approaches to predict PA recurrence. The studies employed 12 different ML algorithms. Meta-analysis showed a pooled sensitivity of 0.87 [95% CI: 0.78-0.92], specificity of 0.86 [95% CI: 0.67-0.95], positive diagnostic likelihood ratio (DLR) of 6.32 [95% CI: 2.46-16.26], and negative DLR of 0.16 [95% CI: 0.1-0.25]. The diagnostic odds ratio (DOR) was 40.52 [95% CI: 13-126.27], and the diagnostic score was 3.7 [95% CI: 2.57-4.84]. The pooled AUC was 0.89 [95% CI: 0.86-0.92], indicating a high overall diagnostic performance. For the comparison between Logistic Regression (LR) and non-LR algorithms, LR-based algorithms exhibited numerically higher AUC and sensitivity; however, these differences were not statistically significant. Additionally, LR-based algorithms showed lower specificity, positive likelihood ratio, and diagnostic odds ratios, but the statistical tests did not provide strong evidence for meaningful differences.</p><p><strong>Conclusion: </strong>AI-based models show strong predictive power for recurrence in both functional and non-functional pituitary adenomas, with an average accuracy above 80%. However, the lack of external validation and the complexity of input data pose challenges, highlighting the need for rigorous validation with multi-center datasets and standardized imaging techniques to enhance clinical applicability.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"158"},"PeriodicalIF":2.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12219454/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538816","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":"Persian version of diabetes burnout scale among patients with type 2 diabetes: a validation study.","authors":"Alireza Jafari, Hadi Tehrani, Fatemehzahra Naddafi, Mahbobeh Nejatian, Azar Khorshahi, Mahdi Gholian-Aval","doi":"10.1186/s12902-025-01965-6","DOIUrl":"10.1186/s12902-025-01965-6","url":null,"abstract":"<p><strong>Introduction: </strong>Diabetes burnout is one of the problems of patients living with diabetes that has not been addressed enough. This study was conducted with the aim of investigating the psychometric properties of the diabetes burnout scale (DBS) among type 2 diabetes patients in Iran.</p><p><strong>Methods: </strong>This methodological study was conducted among 1034 Iranian type 2 diabetes patients in 2023 in Mashhad (Iran). Cluster sampling method was used for selecting patients. Validity of Persian version of DBS was assessed by face, content, and construct validity. Cronbach α and McDonald's omega were used for evaluation the internal consistency and for evaluation the external reliability, test-retest reliability was used.</p><p><strong>Results: </strong>In EFA, three factors with eigenvalues above one were extracted and these factors explained 52% of variance of DBS. In EFA section, only 1 question moved from \"Detachment\" factor to \"Exhaustion\" factor. In CFA, goodness-of-fit indexes were appropriate (Some of goodness-of-fit indexes: RMSEA = 0.079, and IFI = 0.936) and the model of DBS was confirmed. Cronbach's alpha, McDonald's omega, and intraclass correlation coefficients for DBS were 0.827, 0.842, and 0.894 respectively. Finally, Persian version of DBS was approved with 12 items and three dimensions of Detachment with 4 items, Exhaustion with 5 items, and Loss of control with 3 items.</p><p><strong>Conclusion: </strong>Persian version of DBS is a short and good instrument that can be used to check diabetes burnout status in Iranian patients living with type 2 diabetes.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"160"},"PeriodicalIF":2.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12220593/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538773","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":"The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and the risk of insulin resistance: results from the NHANES 2003-2016.","authors":"BaoYing Li, YuLing Zha, Mi Deng, LuNa Niu, XueFei Li, RuoWei Zhu, Jing Tian, Lu Jing","doi":"10.1186/s12902-025-01982-5","DOIUrl":"10.1186/s12902-025-01982-5","url":null,"abstract":"<p><strong>Background: </strong>The relationship between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR), as a novel lipid indicator, and insulin resistance (IR) remains unclear. This cross-sectional study aimed to identify the association between NHHR and the risk of IR.</p><p><strong>Methods: </strong>Utilizing NHANES data from 2003 to 2016, 5,853 participants were eventually included. Triglyceride glucose index (TyG) was used as a marker to evaluate IR, and weighted logistic regression, trend test, restricted cubic spline and subgroup analysis were used to analyze the relationship between NHHR and the risk of IR.</p><p><strong>Results: </strong>After adjusting for all relevant covariates, NHHR exhibited a significant positive correlation with TyG (OR = 3.44, 95% CI: 3.12-3.80, P < 0.001). The restricted cubic spline further proved that NHHR had nonlinear correlation with TyG. Subgroup analyses suggested distinct differences and cross-correlations between race and smoking status, and could provide reference for studies of multicharacteristic populations.</p><p><strong>Conclusion: </strong>This cross-sectional study revealed a significant association between NHHR and the risk of IR. Elevated NHHR was associated with an increased risk of diminished insulin sensitivity and the risk of IR development, and these findings provided a clinical perspective for understanding the pathogenesis of IR from cholesterol accumulation.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"161"},"PeriodicalIF":2.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12220638/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538819","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":"The relationship of genetic signature for cardiometabolic risk with biomarkers of inflammatory and oxidative stress in diabetic patients.","authors":"Faezeh Abaj, Yasaman Aali, Fariba Najafi, Fariba Koohdani","doi":"10.1186/s12902-025-01973-6","DOIUrl":"10.1186/s12902-025-01973-6","url":null,"abstract":"<p><p>The prevalence of cardiovascular diseases (CVDs) is increasing in most parts of the world. Several studies suggest that type 2 diabetes mellitus (T2DM) and CVD are induced by lifestyle behaviours and genetic factors. This study investigated the association between a genetic risk score (GRS) and cardio-metabolic risk factors among diabetic patients. The current cross-sectional study involved 700 diabetic patients. The genetic risk score was created by combining three single nucleotide polymorphisms [Apolipoprotein A2 (APOA2) (rs5082), Ins/Del (rs17240441) and EcoR1polymorphism (rs1042031) variants]. This polygenic risk score (PRS) was developed to predict cardiometabolic risks based on the presence of these common genetic variants. Standard protocols were used to measure anthropometric measurements and blood parameters. A significant association was observed between the GRS and several cardiometabolic risk factors, including BMI (β = 0.006, 95% CI = 0.001 to 0.01, p = 0.05) and WC (β = 0.006, 95% CI = 0.001 to 0.01, p = 0.02), in both crude and adjusted models. Additionally, a significant result was found between hs-CRP and GRS in the crude and adjusted models (β = 0.52, 95% CI = 0.2 to 0.83, p = 0.001). This study also revealed a reverse association between GRS and antioxidant markers such as PTX3 (β = -0.14, 95% CI= -0.23 to -0.04, p = 0.005), TAC (β = -0.02, 95% CI= -0.04 to < 0.001, p = 0.04), and SOD (β = -0.02, 95% CI= -0.04 to -0.006, p = 0.008). After controlling for confounding factors, the significant reverse associations between PTX3 (P = 0.009) and SOD (P = 0.009) with GRS were maintained. We found a significant positive association between GRS, including [APOA2 (rs5082), Ins/Del (rs17240441) and EcoR1 (rs1042031) variants] and cardiometabolic risk factors among T2DM patients.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"148"},"PeriodicalIF":2.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12211301/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538821","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: Unusual nodular goiter with recurrent laryngeal nerve palsy due to severe degeneration caused by intense chronic inflammation: a case report with histopathological evidence and review of the literature.","authors":"Ryo Takagi, Kosei Mori, Sayumi Tsuyuguchi, Takashi Koike, Dinh Nam Nguyen, Kengo Kanai, Yoshihiro Watanabe, Mitsuhiro Okano, Yoshihiro Noguchi, Yuichiro Hayashi, Yorihisa Imanishi","doi":"10.1186/s12902-025-01963-8","DOIUrl":"10.1186/s12902-025-01963-8","url":null,"abstract":"","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"147"},"PeriodicalIF":2.8,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12153188/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144274230","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":"Circulating miR-4454 as a potential biomarker for the diagnosis of T2DM and the prediction value of comorbidity and complications in T2DM.","authors":"Song Yang, Mei Wang, Qin Deng","doi":"10.1186/s12902-025-01964-7","DOIUrl":"10.1186/s12902-025-01964-7","url":null,"abstract":"<p><strong>Objective: </strong>T2DM (type 2 diabetes mellitus) is a chronic metabolic disease that seriously affects human health. Abnormal expression of microRNAs has been reported to play an important role in disease diagnosis. This study aimed to investigate the predictive value of miR-4454 for T2DM and possible risk factors for comorbidity and complications (CC) of T2DM.</p><p><strong>Methods: </strong>Baseline information was collected from a total of 206 subjects including 109 T2DM patients (T2DM group) and 97 healthy individuals (healthy control group), and miR-4454 expression levels were assessed by qRT-PCR. A chi-squared test and a t-test were used to assess the difference in miR-4454 expression of T2DM and healthy subjects. The predictive value of miR-4454 on T2DM was evaluated by receiver operating characteristic (ROC). Potential risk factors for CC of T2DM were predicted by multivariate logistic regression analysis.</p><p><strong>Results: </strong>Significant downregulation of miR-4454 was observed in the T2DM group. The predictive value of miR-4454 for T2DM was verified by the ROC curve. MiR-4454 expression in the T2DM group was negatively correlated with fasting blood glucose (FBG), glycated hemoglobin (HbA1c), homeostasis model-insulin resistance index (HOMA-IR), total cholesterol (TC), triglycerides (TG), and low-density lipoprotein cholesterol (LDL-C), and positively correlated with the levels of adiponectin (ADI) and peroxisome proliferator-activated receptor gamma (PPAR-γ). Multivariate logistic regression analysis suggested that miR-4454, FBG, HbA1c, HOMA-IR, TC, TG, and LDL-C could be considered risk factors for CC of T2DM.</p><p><strong>Conclusions: </strong>The expression level of miR-4454 showed a diagnostic value for T2DM and could serve as a risk factor for the occurrence of CC in T2DM.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"144"},"PeriodicalIF":2.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12147240/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144257367","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":"Latent class analysis for quality of life status, sleep quality and anxiety in patients with type 2 diabetes.","authors":"Roya Farokhi, Farzaneh Rezaei, Sima Afrashteh, Davoud Adham, Somaieh Matin, Nategh Abbasgholizadeh, Abbas Abbasi-Ghahramanloo","doi":"10.1186/s12902-025-01970-9","DOIUrl":"10.1186/s12902-025-01970-9","url":null,"abstract":"<p><strong>Introduction: </strong>Type 2 diabetes (T2D) is a chronic metabolic disorder that is associated with reduced sleep quality and anxiety, and can cause a decrease in quality of life in these patients. Despite previous studies investigating these factors, few studies have examined their co-occurrence in these patients. To address this research gap, the present study aimed to determine the subgroups of patients with type 2 diabetes based on quality of life, sleep quality, and anxiety in the subgroups of using latent class analysis (LCA).</p><p><strong>Methods: </strong>This cross-sectional study was conducted using multistage random sampling. A total of 308 patients with type 2 diabetes were randomly selected from health centers in Ardabil. All participants completed four sets of checklists and questionnaires, (Demographic characteristics, 12-item Short Form survey, the Pittsburgh Sleep Quality Index and Generalized Anxiety Disorder 7-item). Data analysis was performed using Analysis of Variance (ANOVA), chi square and latent class analysis.</p><p><strong>Results: </strong>Three latent classes were identified: The first class (good status) included 56.4% of the participants. Also, the second (moderate status) and third (poor status) classes described 16.5% and 27.1% of the participants, respectively. In latent class 1, the probability of having good quality of life and good sleep quality was higher. In latent class 2, the probability of having moderate quality of life and poor sleep quality was higher. However, these patients revealed no anxiety. Those with third latent class membership were more likely to have moderate quality of life, poor sleep quality, and severe anxiety.</p><p><strong>Conclusion: </strong>This study showed that sleep quality and anxiety is positively related to quality of life in patients with type 2 diabetes. In addition, this study indicated the co-occurrence of sleep quality and anxiety in these patients. Based on these findings, effective and targeted interventions can be designed to improve the health status and quality of life of these patients, taking into account sleep quality and anxiety.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"146"},"PeriodicalIF":2.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12147239/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144257370","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":"Clinical characteristics and outcomes in patients with diabetes mellitus affected by COVID-19: a retrospective cross-sectional study from a tertiary care center in Pakistan.","authors":"Asma Ahmed, Salaar Ahmed, Manahil Tariq Malik, Maheen Zahid, Muhammad Abdullah, Shamila Ladak, Maliha Taufiq, Faiza Qureshi, Ayesha Ali, Shalni Golani, Kinza Jawed, Sajjan Raja, Maha Chaipiwala","doi":"10.1186/s12902-025-01908-1","DOIUrl":"10.1186/s12902-025-01908-1","url":null,"abstract":"<p><strong>Background: </strong>COVID-19, caused by SARS-CoV-2, emerged in December 2019 and quickly became a global public health concern. Diabetes, a major risk factor for severe COVID-19, affects 537 million people worldwide, with high prevalence in low- and middle-income countries like Pakistan. Studies show diabetes increases the risk of severe COVID-19 complications and mortality. However, there is limited data on COVID-19 outcomes in diabetic patients in Pakistan. This study aims to fill this gap and examine factors affecting outcomes in this population.</p><p><strong>Methods: </strong>We conducted a retrospective cross-sectional study at The Aga Khan University Hospital, Karachi, encompassing 2,346 confirmed COVID-19 patients from February 26, 2020, to September 6, 2021. Data on diabetic status, following ADA guidelines and other clinical outcomes were collected from medical records and patient interviews. Statistical analysis was performed using SPSS V.25.</p><p><strong>Results: </strong>A total of 1,342 patients were included, with 864 males (64.4%) and 478 females (35.6%). The mean age was 56.59 ± 15.55 years. SARS-CoV-2 infection was the primary diagnosis for 741 patients (55.2%), while 601 patients (44.8%) had it as a secondary diagnosis. Of the total, 348 patients (25.9%) had T2DM, 2 patients (0.15%) had T1DM, and 991 patients (73.8%) were non-diabetic. The mean duration of diabetes was 2.01 ± 1.32 years. Diabetic patients had a significantly shorter mean hospital stay (4.99 ± 4.46 days) compared to non-diabetic patients (6.79 ± 7.32 days) (p < 0.001). The overall discharge rate was 70.3%, with a mortality rate of 10.7%. T2DM was associated with lower in-hospital mortality (p < 0.001) but higher rates of ARDS (p < 0.001). There was no significant association between T2DM and the risk of pulmonary aspergillosis, pulmonary embolism, or septic shock. Higher financial class was associated with longer hospital stays and a greater likelihood of being discharged home (p < 0.001).</p><p><strong>Conclusion: </strong>In conclusion, our study highlights the heightened susceptibility of COVID-19 patients with concurrent T1DM and T2DM to developing ARDS. Despite no significant association found between diabetes and adverse outcomes, the crucial role of tailored care for high-risk groups, particularly those with diabetes, cannot be overstated.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"143"},"PeriodicalIF":2.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12147293/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144257368","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":"Do stylet needles improve diagnostic accuracy in thyroid fine-needle aspiration? A retrospective analysis.","authors":"Pengfei Luo, Wei Ma, Dahai Jiao","doi":"10.1186/s12902-025-01971-8","DOIUrl":"10.1186/s12902-025-01971-8","url":null,"abstract":"<p><strong>Background: </strong>Compared to syringe needles, stylet needles are hypothesized to enhance the specimen adequacy of thyroid fine needle aspiration (FNA) by potentially minimizing blood contamination. However, this hypothesis lacks robust evidence for substantiation. Additionally, the substantially higher cost of stylet needles (often several orders of magnitude greater than syringe needles) raises concerns about increased procedural expenses. This study aimed to compare the outcomes of thyroid FNA using stylet versus syringe needles in a large cohort.</p><p><strong>Methods: </strong>This retrospective analysis included 4793 FNA procedures (2088 using stylet needles and 2705 using syringe needles) performed by five operators. The primary outcome was specimen adequacy. Secondary outcomes included sensitivity, specificity, diagnostic accuracy, positive predictive value (PPV), and negative predictive value (NPV).</p><p><strong>Results: </strong>No significant differences were found between stylet and syringe needle FNA for specimen adequacy (85.34% vs. 87.13%), sensitivity (95.24% vs. 96.99%), specificity (78.57% vs. 78.05%), diagnostic accuracy (93.96% vs. 95.07%), PPV (98.16% vs. 97.52%), or NPV (57.89% vs. 74.42%). Performance metrics for both methods were also not significantly different within each operator's data.</p><p><strong>Conclusion: </strong>This study found no significant benefit of stylet needles over syringe needles regarding specimen adequacy or diagnostic yield in thyroid FNA.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"145"},"PeriodicalIF":2.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12147323/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144257369","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}