Forty-five patients with advanced ovarian carcinoma without prior chemotherapy were treated with cisplatin-Adriamycin (doxorubicin) combination, 50 mg/m2 intravenously, for 11 cycles. Second-look operation (SLO) was performed in patients without evidence of disease at the end of chemotherapy. Abdominopelvic irradiation was administered to those found to have microscopic or minimal disease (tumor less than 2 cm) at SLO. Forty patients were evaluable. Chemotherapy induced complete response in 56.7% and partial response in 16.7%. In 25% of the reoperated patients, no tumor was found; 30% had microscopic disease; 25% had minimal disease; and 20% had larger tumors. Two-year survival rate was 45%. The residual tumor left at initial operation, the histologic grade, and the response to chemotherapy influenced survival. Toxicity was moderate. There were three treatment-related deaths (one due to sepsis, one due to cardiotoxicity, and one at SLO, respectively). Radiotherapy was poorly tolerated after chemotherapy. The median duration of follow-up was 21.5 months. Further follow-up is needed to study the long-term benefits of this multimodal approach.
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http://dx.doi.org/10.1002/1097-0142(19850615)55:12<2748::aid-cncr2820551203>3.0.co;2-f | DOI Listing |
J Gen Intern Med
January 2025
Northwell Health, New Hyde Park, NY, USA.
Background: Oropharyngeal dysphagia (dysphagia) is a common (up to 86%) and devastating syndrome in hospitalized older adults with dementia.
Objective: To describe the perspectives of dysphagia management in hospitalized patients with dementia among hospital medicine providers (i.e.
Sci Rep
January 2025
Department of Surgery, Campus Charité Mitte and Campus Virchow-Klinikum, Charité-Universitätsmedizin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 13353, Berlin, Germany.
Enhanced Recovery after Surgery (ERAS) is a multimodal approach to improve surgical outcome and has been implemented in many fields of surgery in an international scale. The aim of this study was to evaluate the effect of the Enhanced Recovery after Surgery (ERAS) society recommendations in liver surgery and the impact on general and surgery-related complications. 1049 patients who underwent liver surgery from July 2018 to October 2023 were included.
View Article and Find Full Text PDFCell Rep Med
January 2025
DiMePRe-J-Department of Precision and Rigenerative Medicine-Jonic Area, University of Bari "Aldo Moro", Bari, Italy.
The diagnosis of autism is currently based on the developmental history, direct observation of behavior, and reported symptoms, supplemented by rating scales/interviews/structured observational evaluations-which is influenced by the clinician's knowledge and experience-with no established diagnostic biomarkers. A growing body of research has been conducted over the past decades to improve diagnostic accuracy. Here, we provide an overview of the current diagnostic assessment process as well as of recent and ongoing developments to support diagnosis in terms of genetic evaluation, telemedicine, digital technologies, use of machine learning/artificial intelligence, and research on candidate diagnostic biomarkers.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
INSERM U1064, CR2TI - Center for Research in Transplantation and Translational Immunology, Nantes University, 30 Bd Jean Monnet, Nantes, 44093, France, 33 2 40 08 74 10.
Precision medicine involves a paradigm shift toward personalized data-driven clinical decisions. The concept of a medical "digital twin" has recently become popular to designate digital representations of patients as a support for a wide range of data science applications. However, the concept is ambiguous when it comes to practical implementations.
View Article and Find Full Text PDFSci Data
January 2025
Shanghai Artificial Intelligence Research Institute Co., Ltd., Shanghai, 200240, China.
Academic data processing is crucial in scientometrics and bibliometrics, such as research trending analysis and citation recommendation. Existing datasets in this domain have predominantly concentrated on textual data, overlooking the importance of visual elements. To bridge this gap, we introduce a multidisciplinary multimodal aligned dataset (MMAD) specifically designed for academic data processing.
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