Objective: The aim of this study was to compare Mayo and Milwaukee risk stratification models for predicting lymphatic dissemination in patients with endometrial cancer (EC).
Methods: A total of 904 patients with EC underwent surgical treatment between 2004 and 2016 at Hacettepe University Hospital, and clinicopathological data of patients were retrieved from the computerized database of the Hacettepe University. Patients who did not undergo lymphadenectomy and who had nonendometrioid histology, stage-IV disease, and synchronous epithelial ovarian and EC were excluded. All slides of the cases were reviewed by the same gynecologic pathology subspecialist.
Results: The study group consisted of 307 consecutive patients with a mean age of 59.4 years (range, 26-86 years). Lymph node metastasis was detected in 28 subjects (9.1%). Primary tumor diameter, depth of myometrial invasion, lymphovascular space invasion, and cervical stromal and glandular involvement were associated with lymph node metastasis. Patients with low-risk histological features based on Mayo risk stratification system in our study group had a 0% rate of lymph node positivity. However, of the 28 patients with lymph node metastasis, 3 (10.7%) had low-risk features based on Milwaukee model. The sensitivity, specificity, false negative rate (FNR) and false positive rate of Mayo and Milwaukee risk stratification models for predicting lymphatic dissemination among women with endometrioid EC were 100%, 27.3%, 0%, and 72.7%; and 89.3%, 61.3%, 10.7%, and 38.7%, respectively.
Conclusions: Although Milwaukee risk stratification model had a lower false positive rate and can decrease the number of lymphadenectomies, FNR of this new model was found as 10.7% in the present study. Furthermore, we found that Mayo model had a lower FNR and higher sensitivity. Therefore, Mayo model still looks more beneficial to predict lymph node metastasis in patients with endometrioid EC and Milwaukee risk stratification model still requires external validation.
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http://dx.doi.org/10.1097/IGC.0000000000001261 | DOI Listing |
Endocr Pract
January 2025
Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
Objectives: There is a relationship between insulin resistance and metabolic dysfunction-associated steatotic liver disease (MASLD) and the estimated glucose disposal rate (eGDR) has been reported as a surrogate marker of insulin resistance. This study aimed to investigate the association between eGDR and the incident MASLD, and compare the ability to predict incident MASLD with other insulin resistance markers.
Methods: Retrospective cohort data from a health check-up program were analyzed.
Lancet Rheumatol
January 2025
Department of Rheumatology, Université de Bretagne Occidentale, CHU Brest, INSERM (U1227), LabEx IGO Brest, France.
Background: Moderate doses of glucocorticoids result in improvements in nearly all patients with polymyalgia rheumatica, but related adverse events are common in older individuals. We aimed to evaluate whether treatment with baricitinib (a Janus kinase 1/2 inhibitor) results in disease control without the use of oral glucocorticoids in people with recent-onset polymyalgia rheumatica.
Methods: We conducted a randomised, double-blind, placebo-controlled, parallel-group trial at six expert centres in France.
Hepatology
February 2025
Department of Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Background And Aims: Around 750,000 patients per year will be cured of HCV infection until 2030. Those with compensated advanced chronic liver disease remain at risk for hepatic decompensation and de novo HCC. Algorithms have been developed to stratify risk early after cure; however, data on long-term outcomes and the prognostic utility of these risk stratification algorithms at later time points are lacking.
View Article and Find Full Text PDFWorld J Diabetes
January 2025
Department of Internal Medicine, University of Tabuk, Tabuk 51941, Tabuk, Saudi Arabia.
Patients admitted with prediabetes and atrial fibrillation are at high risk for major adverse cardiac or cerebrovascular events independent of confounding variables. The shared pathophysiology between these three serious but common diseases and their association with atherosclerotic cardiovascular risk factors establish a vicious circle culminating in high atherogenicity. Because of that, it is of paramount importance to perform risk stratification of patients with prediabetes to define phenotypes that benefit from various interventions.
View Article and Find Full Text PDFWorld J Gastrointest Oncol
January 2025
Department of Hepatobiliary and Pancreaticosplenic Surgery, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou 434100, Hubei Province, China.
Background: The liver, as the main target organ for hematogenous metastasis of colorectal cancer, early and accurate prediction of liver metastasis is crucial for the diagnosis and treatment of patients. Herein, this study aims to investigate the application value of a combined machine learning (ML) based model based on the multiparameter magnetic resonance imaging for prediction of rectal metachronous liver metastasis (MLM).
Aim: To investigate the efficacy of radiomics based on multiparametric magnetic resonance imaging images of preoperative first diagnosed rectal cancer in predicting MLM from rectal cancer.
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