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Nevin Manimala Statistics

Evaluation of error detection and treatment recommendations in nucleic acid test reports using ChatGPT models

Clin Chem Lab Med. 2025 Apr 21. doi: 10.1515/cclm-2025-0089. Online ahead of print.

ABSTRACT

OBJECTIVES: Accurate medical laboratory reports are essential for delivering high-quality healthcare. Recently, advanced artificial intelligence models, such as those in the ChatGPT series, have shown considerable promise in this domain. This study assessed the performance of specific GPT models-namely, 4o, o1, and o1 mini-in identifying errors within medical laboratory reports and in providing treatment recommendations.

METHODS: In this retrospective study, 86 medical laboratory reports of Nucleic acid test report for the seven upper respiratory tract pathogens were compiled. There were 285 errors from four common error categories intentionally and randomly introduced into reports and generated 86 incorrected reports. GPT models were tasked with detecting these errors, using three senior medical laboratory scientists (SMLS) and three medical laboratory interns (MLI) as control groups. Additionally, GPT models were tasked with generating accurate and reliable treatment recommendations following positive test outcomes based on 86 corrected reports. χ2 tests, Kruskal-Wallis tests, and Wilcoxon tests were used for statistical analysis where appropriate.

RESULTS: In comparison with SMLS or MLI, GPT models accurately detected three error types, and the average detection rates of the three GPT models were 88.9 %(omission), 91.6 % (time sequence), and 91.7 % (the same individual acted both as the inspector and the reviewer). However, the average detection rate for errors in the result input format by the three GPT models was only 51.9 %, indicating a relatively poor performance in this aspect. GPT models exhibited substantial to almost perfect agreement with SMLS in detecting total errors (kappa [min, max]: 0.778, 0.837). However, the agreement between GPT models and MLI was moderately lower (kappa [min, max]: 0.632, 0.696). When it comes to reading all 86 reports, GPT models showed obviously reduced reading time compared with SMLS or MLI (all p<0.001). Notably, our study also found the GPT-o1 mini model had better consistency of error identification than the GPT-o1 model, which was better than that of the GPT-4o model. The pairwise comparisons of the same GPT model’s outputs across three repeated runs showed almost perfect agreement (kappa [min, max]: 0.912, 0.996). GPT-o1 mini showed obviously reduced reading time compared with GPT-4o or GPT-o1(all p<0.001). Additionally, GPT-o1 significantly outperformed GPT-4o or o1 mini in providing accurate and reliable treatment recommendations (all p<0.0001).

CONCLUSIONS: The detection capability of some of medical laboratory report errors and the accuracy and reliability of treatment recommendations of GPT models was competent, especially, potentially reducing work hours and enhancing clinical decision-making.

PMID:40249886 | DOI:10.1515/cclm-2025-0089

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Nevin Manimala Statistics

Decoding Recurrence in Early-Stage and Locoregionally Advanced Non-Small Cell Lung Cancer: Insights From Electronic Health Records and Natural Language Processing

JCO Clin Cancer Inform. 2025 Apr;9:e2400227. doi: 10.1200/CCI-24-00227. Epub 2025 Apr 18.

ABSTRACT

PURPOSE: Recurrences after curative resection in early-stage and locoregionally advanced non-small cell lung cancer (NSCLC) are common, necessitating a nuanced understanding of associated risk factors. This study aimed to establish a natural language processing (NLP) system to efficiently curate recurrence data in NSCLC and analyze risk factors longitudinally.

PATIENTS AND METHODS: Electronic health records of 6,351 patients with NSCLC with >700,000 notes were obtained from Mount Sinai’s data sets. A deep learning-based customized NLP system was developed to identify cohorts experiencing recurrence. Recurrence types and rates over time were stratified by various clinical features. Cohort description analysis, Kaplan-Meier analysis for overall recurrence-free survival (RFS) and distant metastasis-free survival (DMFS), and Cox proportional hazards analysis were performed.

RESULTS: Of 1,295 patients with stage I-IIIA NSCLC with surgical resections, 336 patients (25.9%) experienced recurrence, as identified through NLP. The NLP system achieved a precision of 94.3%, a recall of 93%, and an F1 score of 93.5. Among 336 patients, 52.4% had local/regional recurrences, 44% distant metastases, and 3.6% unknown recurrence. RFS rates at years 1-5 were 93%, 81%, 73%, 67%, and 61%, respectively (96%, 89%, 84%, 80%, and 75% for distant metastasis). Stage-specific RFS rates at year 5 were 73% (IA), 62% (IB), 47% (IIA), 46% (IIB), and 20% (IIIA). Stage IB patients had a significantly higher likelihood of recurrence versus stage IA (adjusted hazard ratio [aHR], 1.63; P = .02). The RFS was lower in patients with clinically significant TP53 alteration (v TP53-negative or unknown significance), affecting overall RFS (aHR, 1.89; P = .007) and DMFS (aHR, 2.47; P = .009) among stage IA/IB patients.

CONCLUSION: Our scalable NLP system enabled us to generate real-world insights into NSCLC recurrences, paving the way for predictive models for preventing, diagnosing, and treating NSCLC recurrence.

PMID:40249880 | DOI:10.1200/CCI-24-00227

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Photodynamic Therapy With Liquid Crystal Loaded Methylene Blue in the Treatment of Verruca

Photodermatol Photoimmunol Photomed. 2025 May;41(3):e70023. doi: 10.1111/phpp.70023.

ABSTRACT

BACKGROUND: Verrucae (warts) are caused by human papilloma viruses. Photodynamic therapy (PDT) is a widely recommended option to treat warts.

OBJECTIVES: To assess the role of liquid crystal loaded methylene blue (MB) combined with intense pulsed light (IPL) in the treatment of verrucae.

PATIENTS AND METHODS: A total of 42 clinically and dermoscopically confirmed patients complaining of at least four cutaneous warts of various types were recruited in this clinical study. The lesions for the same patient were divided into 4 groups: Group (1) received topical 10% liquid crystal loaded MB, then was subjected to two passes of IPL with a 650 nm cutoff filter; Group (2) was subjected to two passes of IPL; and Group (3) received topical 10% liquid crystal loaded MB gel. They underwent four sessions at 2-week intervals. Group (4) was left with no treatment (control).

RESULTS: Complete disappearance of warts was observed in 52.4%, 19%, and 4.8% in Group 1, 2, and 3, respectively, with no recurrence throughout the following 3 months. Regarding PDT-treated group, verruca plantaris showed the best result, followed by verruca plana, then verruca vulgaris. Comparing all groups, there was a statistically significant difference in which the PDT group showed the best result.

CONCLUSION: PDT using 10% liquid crystal loaded MB combined with IPL is an effective option in wart treatment with the best results in V. plantaris, followed by V. plana and V. vulgaris.

PMID:40249838 | DOI:10.1111/phpp.70023

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Risk Factors for Poor Outcomes in Pediatric Bacterial Meningitis With Cerebrospinal Fluid Shunts: A Nationwide Surveillance in Japan

Pediatr Infect Dis J. 2025 Apr 17. doi: 10.1097/INF.0000000000004834. Online ahead of print.

ABSTRACT

BACKGROUND: Bacterial meningitis remains a life-threatening condition in pediatric patients with cerebrospinal fluid (CSF) shunts. While infection prevention has been extensively studied, risk factors for severe outcomes such as death and neurological sequelae remain poorly understood. We examined the clinical characteristics of pediatric bacterial meningitis with CSF shunts, focusing on the risk factors associated with poor outcomes.

METHODS: This study is part of a nationwide surveillance of pediatric bacterial meningitis in Japan from 2009 to 2021. We extracted pediatric meningitis cases with CSF shunts from the database. Clinical characteristics, risk factors for poor outcomes, defined as death or severe neurological sequelae and causative organisms were assessed. Logistic regression models were used to identify significant risk factors.

RESULTS: In this study, 167 pediatric cases of bacterial meningitis with CSF shunts were included. In multivariable analysis, male sex [odds ratio (OR): 2.82, 95% confidence interval (CI): 1.00-7.96, P = 0.04] and younger age (OR: 0.98, 95% CI: 0.97-1.00, P = 0.002) were significant risk factors for poor outcomes. The most common causative organism was Staphylococcus spp. (65.9%), predominantly coagulase-negative Staphylococci (45.3%). While the reduction in Streptococcus pneumoniae and Haemophilus influenzae cases following vaccine introduction was not statistically significant, a decreasing trend was observed.

CONCLUSION: Younger age and male sex were significant risk factors for poor outcomes. In addition, vaccination may have contributed to a decline in Streptococcus pneumoniae and Haemophilus influenzae infections.

PMID:40249832 | DOI:10.1097/INF.0000000000004834

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Nevin Manimala Statistics

Statistical analysis of fluorescence intensity transients with Bayesian methods

Sci Adv. 2025 Apr 18;11(16):eads4609. doi: 10.1126/sciadv.ads4609. Epub 2025 Apr 18.

ABSTRACT

Molecular movement and interactions at the single-molecule level, particularly in live cells, are often studied using fluorescence correlation spectroscopy (FCS). While powerful, FCS has notable drawbacks: It requires high laser intensities and long acquisition times, increasing phototoxicity, and often relies on problematic statistical assumptions in data fitting. We introduce fluorescence intensity trace statistical analysis (FITSA), a Bayesian method that directly analyzes fluorescence intensity traces. FITSA offers faster, more stable convergence than previous approaches and provides robust parameter estimation from far shorter measurements than conventional FCS. Our results demonstrate that FITSA achieves comparable precision to FCS while requiring substantially fewer photons. This advantage becomes even more pronounced when accounting for statistical dependencies in FCS analysis, which are often overlooked but necessary for accurate error estimation. By reducing laser exposure, FITSA minimizes phototoxicity effects, representing a major advancement in the quantitative analysis of molecular processes across fields.

PMID:40249821 | DOI:10.1126/sciadv.ads4609

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Force spectroscopy reveals membrane fluctuations and surface adhesion of extracellular nanovesicles impact their elastic behavior

Proc Natl Acad Sci U S A. 2025 Apr 22;122(16):e2414174122. doi: 10.1073/pnas.2414174122. Epub 2025 Apr 18.

ABSTRACT

The elastic properties of nanoscale extracellular vesicles (EVs) are believed to influence their cellular interactions, thus having a profound implication in intercellular communication. However, accurate quantification of their elastic modulus is challenging due to their nanoscale dimensions and their fluid-like lipid bilayer. We show that the previous attempts to develop atomic force microscopy-based protocol are flawed as they lack theoretical underpinning as well as ignore important contributions arising from the surface adhesion forces and membrane fluctuations. We develop a protocol comprising a theoretical framework, experimental technique, and statistical approach to accurately quantify the bending and elastic modulus of EVs. The method reveals that membrane fluctuations play a dominant role even for a single EV. The method is then applied to EVs derived from human embryonic kidney cells and their genetically engineered classes altering the tetraspanin expression. The data show a large spread; the area modulus is in the range of 4 to 19 mN/m and the bending modulus is in the range of 15 to 33 [Formula: see text], respectively. Surprisingly, data for a single EV, revealed by repeated measurements, also show a spread that is attributed to their compositionally heterogeneous fluid membrane and thermal effects. Our protocol uncovers the influence of membrane protein alterations on the elastic modulus of EVs.

PMID:40249788 | DOI:10.1073/pnas.2414174122

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Nevin Manimala Statistics

A Community Hospital Experience With Cholecystectomy for Gallbladder Hyperkinesia: A Single-Center Cross-Sectional Study

Am Surg. 2025 Apr 18:31348251337143. doi: 10.1177/00031348251337143. Online ahead of print.

ABSTRACT

BackgroundHyperkinetic and hypokinetic biliary dyskinesia commonly present with right upper quadrant pain, mimicking biliary colic or cholecystitis. Only gallbladder hypokinesia is a well-accepted indication for cholecystectomy. While there is less literature on the topic, patients with gallbladder hyperkinesia may also benefit from cholecystectomy.MethodsThis single-center cross-sectional study looked at patients 18 years or older, with EF >80% on HIDA scan who underwent cholecystectomy and at least one postoperative visit from January 1, 2018, to February 28, 2023. The primary outcome was symptomatic resolution or improvement.ResultsIn total, 67 patients were identified, with a median age of 46 years, 75% female sex, and a median 30-day follow-up period. All patients presented with abdominal pain, 64% presented with nausea and vomiting, and 31% presented with chronic diarrhea. Partial symptomatic improvement was noted in 94% of patients, while 85% had complete resolution. There was a statistically significant difference in gallbladder ejection fraction between 2 groups: 94% (IQR 90-98%) for those with complete symptom resolution vs 88% (IQR 83-97%) for those who did not have symptom resolution (P = 0.033). Chronic cholecystitis was demonstrated in 73% of specimens.ConclusionsThis data adds to a body of evidence supporting laparoscopic cholecystectomy for gallbladder hyperkinesia. The study further establishes a higher degree of gallbladder ejection fraction to have an association with complete symptomatic improvement after cholecystectomy. A patient’s presenting symptoms do not appear to have an association with complete symptom resolution.

PMID:40249640 | DOI:10.1177/00031348251337143

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Moving to 3D: Quantifying Virtual Surgical Planning Accuracy Using Geometric Morphometrics and Cephalometrics in Facial Feminization Surgery

J Craniofac Surg. 2025 Apr 18. doi: 10.1097/SCS.0000000000011360. Online ahead of print.

ABSTRACT

Facial feminization surgeries (FFS) aim to feminize facial features in transgender women and include frontal sinus setback, rhinoplasty, and genioplasty. FFS may be performed with virtual surgical planning (VSP) to help generate reproducible and predictable results. However, quantification of changes is challenging because these changes often occur in multiple axes and dimensions that are not easily reduced to a single error metric. The objective of this study was to apply cephalometrics and geometric morphometrics analyses to evaluate shape changes in FFS patients undergoing genioplasty and mandibular contouring. Fourteen patients who underwent genioplasty, mandibular contouring, or both, with a single surgeon and also had matching post-operative followup scans were included. Three-dimensional reconstructions of preoperative, postoperative, and VSP-guided “planned” computed tomography scans of each patient were created using 3D Slicer. Cephalometrics and geometric morphometrics were used to analyze changes. Pairwise 1-tailed t tests showed that postoperative bigonial width values significantly aligned with planned values across individuals. Geometric morphometric analyses, specifically Generalized Procrustes Analysis, demonstrated that the postoperative scans significantly aligned with planned scans in the fixed landmark data set (3-piece genioplasty) and gonial angle semi-landmark data set (mandibular contouring). Among scan sets that did not meet this hypothesis, the final postoperative shape was often between the preoperative and planned shapes, presumably due to post-osteotomy burring that is not captured on VSP. Future work using a greater number of landmarks, such as using statistical shape modeling approaches, may help to evaluate bony changes after FFS  to better integrate changes in bone position with concomitant changes in bony shape.

PMID:40249638 | DOI:10.1097/SCS.0000000000011360

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HIV and Non-HIV Patients Have Similar Rates of Neoplastic Findings on Screening Colonoscopy Within a Predominantly African American Cohort

Cancer Med. 2025 Apr;14(8):e70811. doi: 10.1002/cam4.70811.

ABSTRACT

INTRODUCTION: With the reduction in human immunodeficiency virus (HIV)-related mortality secondary to antiretroviral therapy, chronic medical conditions and age-related cancers account for a larger proportion of mortality among those with HIV. Cancer risk overall remains elevated in HIV patients, and cancer screening data in this population is limited. The primary study aim was to determine whether screening colonoscopy findings differed between HIV and non-HIV patients.

METHODS: A retrospective review of adults with/without HIV undergoing screening colonoscopy between February 2015 and September 2022 was performed. HIV patients were matched with non-HIV patients by sex, race, and age, undergoing screening colonoscopy within six business days of their matched patients. Demographic data included age, race, sex, family history of colorectal cancer (CRC), smoking status, alcohol use, along with endoscopic and histologic findings that were compared between the matched pairs.

RESULTS: Ninety matched pairs of HIV and non-HIV patients undergoing screening colonoscopy comprised the study population. The study group was 78.9% African American, 55.6% male, with a mean age of 59.0 years in HIV patients and 54.9 years in non-HIV patients. Procedure indication was average risk screening in 91.1% of patients. No statistically significant differences in screening colonoscopy findings or polyp histology were observed between HIV and non-HIV patients.

DISCUSSION: Similar rates of polyps were found at screening colonoscopy regardless of HIV status. CRC screening recommendations are appropriate for the HIV patient population without limitation.

PMID:40249627 | DOI:10.1002/cam4.70811

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Provider Volume Impacts Neurosurgical Procedure Selection in Older Patients With High-Grade Glioma

Cancer Med. 2025 Apr;14(8):e70866. doi: 10.1002/cam4.70866.

ABSTRACT

BACKGROUND: We examined the association between academic center status and neurosurgical resection volume with surgical procedures performed and subsequent survival.

METHODS: In a population-based study using the Surveillance, Epidemiology, and End Results (SEER)-Medicare-linked databases, we identified patients > 65 years diagnosed with primary WHO grade III-IV glioma from 2008 to 2017. Surgical procedures were identified through Medicare claims from 2007 to 2019. Associations between center type (academic vs. not) and center volume (top 10% of distribution of resections during the study period vs. the bottom 90%) were estimated with upfront surgery procedure (resection vs. biopsy vs. none) and survival by estimating hazard ratios (HRs) and 95% confidence intervals (CIs) from multivariable regression models accounting for within-center provider cluster correlation.

RESULTS: We identified 8592 patients, of whom 8128 could both be attributed to a provider and received neurosurgical intervention attributed to resection or biopsy. When considered together, center volume, not center academic status, drove surgical decisions for first procedure type such that patients treated by a top 10% volume center were 23% more likely to receive resection (95% CI: 14%-34%, p < 0.0001). When considered together, resection, not center volume, drove improvement in overall survival such that patients who received resection, regardless of center volume, were 22% less likely to die during the study period (95% CI: 17%-27%, p < 0.0001).

CONCLUSIONS: We provide the first population-based evidence that older patients diagnosed with grade III-IV glioma who seek treatment from higher-volume centers are more likely to receive aggressive neurosurgical care. Aggressive neurosurgical care, even if received from low-volume centers, improves survival.

PMID:40249626 | DOI:10.1002/cam4.70866