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Victoria L. Parker Matthew C. Winter John A. Tidy Barry W. Hancock Julia E. Palmer Naveed Sarwar Baljeet Kaur Katie McDonald Xianne Aguiar Kamaljit Singh Nick Unsworth Imran Jabbar Allan A. Pacey Robert F. Harrison Michael J. Seckl 《International journal of cancer. Journal international du cancer》2023,152(5):986-997
Gestational trophoblastic neoplasia (GTN) patients are treated according to the eight-variable International Federation of Gynaecology and Obstetrics (FIGO) scoring system, that aims to predict first-line single-agent chemotherapy resistance. FIGO is imperfect with one-third of low-risk patients developing disease resistance to first-line single-agent chemotherapy. We aimed to generate simplified models that improve upon FIGO. Logistic regression (LR) and multilayer perceptron (MLP) modelling (n = 4191) generated six models (M1-6). M1, all eight FIGO variables (scored data); M2, all eight FIGO variables (scored and raw data); M3, nonimaging variables (scored data); M4, nonimaging variables (scored and raw data); M5, imaging variables (scored data); and M6, pretreatment hCG (raw data) + imaging variables (scored data). Performance was compared to FIGO using true and false positive rates, positive and negative predictive values, diagnostic odds ratio, receiver operating characteristic (ROC) curves, Bland-Altman calibration plots, decision curve analysis and contingency tables. M1-6 were calibrated and outperformed FIGO on true positive rate and positive predictive value. Using LR and MLP, M1, M2 and M4 generated small improvements to the ROC curve and decision curve analysis. M3, M5 and M6 matched FIGO or performed less well. Compared to FIGO, most (excluding LR M4 and MLP M5) had significant discordance in patient classification (McNemar's test P < .05); 55-112 undertreated, 46-206 overtreated. Statistical modelling yielded only small gains over FIGO performance, arising through recategorisation of treatment-resistant patients, with a significant proportion of under/overtreatment as the available data have been used a priori to allocate primary chemotherapy. Streamlining FIGO should now be the focus. 相似文献
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Janet Fricke Carolyn Unsworth Diane Worrell 《Australian Occupational Therapy Journal》1993,40(1):7-15
This paper reports an inter-rater reliability study on the Functional Independence Measure (FIM). The FIM measures inpatient burden of care, as reflected in 18 self care items, rated on a seven point scale from dependent to independent. The subjects were 40 occupational therapists, divided according to experience with the FIM and randomly assigned to a FIM training or non-training group. Subjects rated video tapes of four stroke patients on transfers, bathing, dressing, grooming, toileting and eating items from the FIM. Rater consensus was calculated using the intraclass correlation coefficient (ICC), percentage agreement and a measure of disagreement. Rating accuracy was measured by comparisons with an expert rater. Ratings were most reliable when done by clinicians with no prior FIM experience, from the FIM training group. It is strongly recommended that all clinicians undergo FIM training before using this tool to ensure acceptable reliability. 相似文献
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Safety and efficacy of bariatric surgery: Longitudinal Assessment of Bariatric Surgery 总被引:3,自引:0,他引:3
Steven H. Belle Ph.D. M.Sc.Hyg. Paul D. Berk M.D. Anita P. Courcoulas M.D. M.P.H. F.A.C.S. David R. Flum M.D. M.P.H. F.A.C.S. Carolyn W. Miles Ph.D. James E. Mitchell M.D. Walter J. Pories M.D. F.A.C.S. Bruce M. Wolfe M.D. F.A.C.S. Susan Z. Yanovski M.D. Longitudinal Assessment of Bariatric Surgery Consortium Writing Group 《Surgery for obesity and related diseases》2007,3(2):116-126
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