Background: The objective of our study was to develop and validate nomograms to predict the overall survival (OS) and cancer-specific survival (CSS) of patients with signet-ring cell carcinoma (SRCC) of the stomach.
Methods: Data were collected from the Surveillance, Epidemiology, and End Results (SEER) database. A total of 1781 patients were randomly allocated to a training set (n = 1335) and a validation set (n = 446). Univariate and multivariate analyses were used to determine the prognostic effect of variables. Nomograms were developed to estimate OS and CSS and assessed using the concordance index (C-index), calibration curves, receiver operating characteristic (ROC), and decision curve analyses (DCA). DCA was utilized to compare the nomograms and the Tumor-Node-Metastasis (TNM) staging system.
Results: Age, race, tumor size, T, N, M stage, and use of surgery and/or radiotherapy were included in the nomograms. C-indexes for OS and CSS were 0.74 and 0.75 in the training set, respectively. C-indexes for OS and CSS were 0.76 and 0.76 in the validation set. Calibration plots and receiver operating characteristic (ROC) curves showed good predictive accuracy. According to the decision curve analyses (DCA), the new model was more useful than the TNM staging system.
Conclusions: We developed nomograms to predict OS and CSS in patients with SRCC of the stomach. Nomograms may be a valuable clinical supplement of the conventional TNM staging system.
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http://dx.doi.org/10.1016/j.jss.2021.03.053 | DOI Listing |
FASEB J
January 2025
Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, 200011, China.
With the global rise in advanced maternal age (AMA) pregnancies, the risk of gestational diabetes mellitus (GDM) increases. However, few GDM prediction models are tailored for AMA women. This study aims to develop a practical risk prediction model for GDM in AMA women.
View Article and Find Full Text PDFZhongguo Dang Dai Er Ke Za Zhi
January 2025
Department of Pediatrics, Provincial Hospital Affiliated to Fuzhou University/Fujian Provincial Hospital, Fuzhou 350001, China.
Objectives: To investigate the risk factors for plastic bronchitis (PB) in children with macrolide-unresponsive pneumonia (MUMPP) and to establish a nomogram prediction model.
Methods: A retrospective analysis was conducted on 178 children with MUMPP who underwent bronchoscopy from January to December 2023. According to the presence or absence of PB, the children were divided into a PB group (49 children) and a non-PB group (129 children).
BMC Pulm Med
January 2025
Department of Public Health, People's Hospital of Nanchuan, Chongqing, 408400, People's Republic of China.
Background: The features of community-acquired pneumonia (CAP) patients with type 2 diabetes mellitus (T2DM) differ from those without. This study aims to spot a routinely tested parameter with discriminative, predictive and prognostic value to enhance CURB-65's prognostic accuracy in CAP patients with T2DM.
Methods: We retrospectively studied consecutive CAP patients from 2020 to 2021, comparing laboratory parameters between patients with and without T2DM.
BMC Pregnancy Childbirth
January 2025
Key Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, Zhejiang, China.
Background: The success of in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) in endometriosis patients varies widely, and predicting the likelihood of achieving a live birth remains a clinical challenge. This study aims to develop a predictive nomogram for assessing the cumulative live birth (CLB) rate following IVF/ICSI cycles among patients with endometriosis.
Method: A retrospective cohort study was conducted to analyze the clinical data of 1457 patients with endometriosis after IVF/ICSI treatment from January 2017 to August 2022.
Sci Rep
January 2025
Department of Obstetrics and Gynecology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital, Guangzhou Medical University, Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint, Guangzhou, 510000, China.
Cuproptosis, a recently discovered form of cell death, has emerged as a crucial player in tumor development, although its role in uterine corpus endometrial carcinoma (UCEC) remains inadequately explored. This study aims to identify prognostically relevant cuproptosis-related genes in endometrial cancer. Cuproptosis-related genes were sourced from previously published studies and the FerrDb database.
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