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Aims: For phyllodes tumours (PT), local and distant recurrence rates increase with higher grades and are difficult to predict. The Singapore nomogram has been used to predict recurrence events for PT. We aimed to test this nomogram for accuracy in a US cohort and to compare with a histological score.
Methods: Patients with PT were selected from a prospective institutional database. Histological parameters and margin status were used to estimate the nomogram score and the histological score, as previously defined. Multivariable analyses were used to estimate the association of recurrence-free survival (RFS) with individual factors, nomogram score and histological score. Harrel's C-index was estimated.
Results: Of 81 PT cases, 25.9% were benign, 40.7% borderline and 33.3% malignant. Recurrences occurred in 33.3% (n=27). The adjusted RFS analysis including the four factors used in the Singapore nomogram performed well (C-index of 0.78). However, despite a higher nomogram score being associated with increased risk of recurrence (HR 1.03, 1.01-1.05, p=0.007), the individual numeric scale defined in the nomogram only moderately fit our data (C-index of 0.66). Patients with higher histological scores also had an increased risk of recurrence (HR 1.25, 1.07-1.47, p=0.005; C-index of 0.70).
Conclusion: Histological score more accurately predicted PT recurrence in our cohort, which includes a higher proportion of higher-grade PT. Refining the nomogram to include factors specific to malignant PT and factors with more variance, as well as refining the assigned weights, may result in improved performance. This study identifies an opportunity for international collaboration to refine the predictive model.
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http://dx.doi.org/10.1136/jcp-2025-210252 | DOI Listing |
Lipids Health Dis
September 2025
Department of Gastroenterology, Weifang People's Hospital, The First Affiliated Hospital of Shandong Second Medical University, 151 Guangwen Street, Weifang, Shandong, 261000, China.
Background: Current scoring systems for hypertriglyceridaemia-induced acute pancreatitis (HTG-AP) severity are few and lack reliability. The present work focused on screening predicting factors for HTG-SAP, then constructing and validating the visualization model of HTG-AP severity by combining relevant metabolic indexes.
Methods: Between January 2020 and December 2024, retrospective clinical information for HTG-AP inpatients from Weifang People's Hospital was examined.
Sci Rep
September 2025
Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China.
Visceral adiposity has been proposed to be closely linked to cognitive impairment. This cross-sectional study aimed to evaluate the predictive value of Chinese Visceral Adiposity Index (CVAI) for mild cognitive impairment (MCI) in patients with type 2 diabetes mellitus (T2DM) and to develop a quantitative risk assessment model. A total of 337 hospitalized patients with T2DM were included and randomly assigned to a training cohort (70%, n = 236) and a validation cohort (30%, n = 101).
View Article and Find Full Text PDFAbdom Radiol (NY)
September 2025
Department of Radiology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Background: We aimed to develop and validate a radiomics-based machine learning nomogram using multiparametric magnetic resonance imaging to preoperatively predict substantial lymphovascular space invasion in patients with endometrial cancer.
Methods: This retrospective dual-center study included patients with histologically confirmed endometrial cancer who underwent preoperative magnetic resonance imaging (MRI). The patients were divided into training and test sets.
Background: The goal was to explore the impact of the NR1D1 gene on the occurrence, development, and prognosis of colorectal cancer (CRC) using bioinformatics approaches.
Methods: CRC transcriptomic and clinical data from TCGA were analyzed to compare NR1D1 expression in tumors and various clinical stages. Survival differences between high and low NR1D1 expression groups were assessed using the R survival package.
Infect Drug Resist
September 2025
Department of Laboratory Medicine, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, 317000, People's Republic of China.
Purpose: Sepsis has high mortality and progresses rapidly, requiring early diagnosis; traditional scoring and lab parameters are limited in non-ICU settings, highlighting the need for biomarker integration and continuous monitoring to enhance diagnostic accuracy.
Patients And Methods: A retrospective analysis of 1,098 patients at Taizhou Hospital of Zhejiang Province identified sepsis and non-sepsis groups per Sepsis 3.0 criteria, Logistic regression analyses were used to identify the risk factors.