Radical surgery is considered not to improve the prognosis of primary malignant melanoma of the vagina (PMMV). This study was carried out to review the general consensus. A systematic review was performed on the basis of data from 10 patients in our cohort and 147 patients in the previous literature. The radicality of the initial surgery (RAINS) score was defined as the total number of points in terms of the resected organs. The target organs were the vagina, vulva, urethra, bladder, uterus, anus, rectum, pelvic lymph nodes, and inguinal lymph nodes. Overall survival (OS) according to the RAINS score was analyzed using the Kaplan-Meier method. Information on tumor stage, size, and depth of invasion was not obtained in 15, 47, and 43% of patients, respectively. The median follow-up period was 18 months. OS with a RAINS score of at least 7 was significantly longer than that with a RAINS score of up to 6 (median survival time, 41 vs. 19 months; log-rank test, P=0.037), despite the fact that the former group included significantly more patients with advanced-stage disease. A significant difference in OS was not found between patients with a RAINS score of at least 6 and up to 5. The therapeutic significance of radical surgery for PMMV has not been assessed appropriately in previous studies because of the lack of comparability among groups and differences in the definitions of surgical radicality. Patients with PMMV might benefit from initial surgery with appropriate surgical radicality, despite incomplete validation of the RAINS score.
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http://dx.doi.org/10.1097/CMR.0000000000000239 | DOI Listing |
BMC Musculoskelet Disord
December 2024
Department of Orthopaedics, West China Hospital Sichuan University, Chengdu, 610041, China.
Background: The effects of tranexamic acid (TXA) in total shoulder arthroplasty (TSA) are controversial. The objective of this study was to investigate the efficacy and safety of TXA in TSA.
Methods: A systematic review and meta-analysis of TXA in TSA was carried out, and 5 trials including 372 patients were identified from PubMed (1966 to March 2024), Cochrane Central Register of Controlled Trials (March 2024), Embase (1974 to March 2024) and Web of Science (1995 to March 2024).
Glob Chang Biol
December 2024
U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Durham, North Carolina, USA.
Changes in temperature and precipitation are already influencing US forests and that will continue in the future even as we mitigate climate change. Using spatiotemporally matched data for mean annual temperature (MAT) and mean annual precipitation (MAP), we used simulated annealing to estimate critical thresholds for changes in the growth and survival of roughly 150 tree species (153 spp. for growth, 159 spp.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Applied Computer Science, University of Winnipeg, Winnipeg, MB R3B2E9, Canada.
Automatic License Plate Recognition (ALPR) systems are essential for Intelligent Transport Systems (ITS), effective transportation management, security, law enforcement, etc. However, the performance of ALPR systems can be significantly affected by environmental conditions such as heavy rain, fog, and pollution. This paper introduces a weather-adaptive Convolutional Neural Network (CNN) framework that leverages the YOLOv10 model that is designed to enhance license plate detection in adverse weather conditions.
View Article and Find Full Text PDFSci Rep
November 2024
Department of Civil, Environmental, and Geomatics Engineering, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Environ Monit Assess
November 2024
Centre for Energy and Climate Change, Wollega University, Nekemte, Ethiopia.
Extreme temperatures and rainfall influence crop yields, soil health, and natural ecosystems. This study examined the extent of extreme agro-climatic factors in Northwestern Ethiopia, with a focus on identifying vulnerability hotspots. Rainfall and temperature data from 1982 to 2022 were collected from eight meteorological stations of the Ethiopian Meteorological Institute, and missing values and outliers were corrected using imputation and Z-scores.
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