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Purpose: To determine whether treatment of anal high-grade squamous intraepithelial lesions (HSIL), vs active monitoring, is effective in reducing incidence of anal cancer in persons living with HIV, the US National Cancer Institute funded the Phase III ANal Cancer/HSIL Outcomes Research (ANCHOR) clinical trial. As no established patient-reported outcomes (PRO) tool exists for persons with anal HSIL, we sought to estimate the construct validity and responsiveness of the ANCHOR Health-Related Symptom Index (A-HRSI).
Methods: The construct validity phase enrolled ANCHOR participants who were within two weeks of randomization to complete A-HRSI and legacy PRO questionnaires at a single time point. The responsiveness phase enrolled a separate cohort of ANCHOR participants who were not yet randomized to complete A-HRSI at three time points: prior to randomization (T1), 14-70 (T2), and 71-112 (T3) days following randomization.
Results: Confirmatory factor analysis techniques established a three-factor model (i.e., physical symptoms, impact on physical functioning, impact on psychological functioning), with moderate evidence of convergent validity and strong evidence of discriminant validity in the construct validity phase (n = 303). We observed a significant moderate effect for changes in A-HRSI impact on physical functioning (standardized response mean = 0.52) and psychological symptoms (standardized response mean = 0.60) from T2 (n = 86) to T3 (n = 92), providing evidence of responsiveness.
Conclusion: A-HRSI is a brief PRO index that captures health-related symptoms and impacts related to anal HSIL. This instrument may have broad applicability in other contexts assessing individuals with anal HSIL, which may ultimately help improve clinical care and assist providers and patients with medical decision-making.
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http://dx.doi.org/10.1007/s11136-023-03391-4 | DOI Listing |
Arch Clin Neuropsychol
December 2024
Centro de Estudos Egas Moniz, Faculty of Medicine, University of Lisbon, Avenida Professor Egas Moniz, Lisbon 1649-028, Portugal.
Objective: This study aims to adapt and provide psychometric support for the validation of version B of the Edinburgh Cognitive and Behavioural ALS Screen (ECAS) for the Portuguese population, addressing the need for consistent cognitive evaluations in amyotrophic lateral sclerosis (ALS). A second culturally adapted ECAS screen facilitates the accurate characterization of ALS progression, mitigates learning effects, and supports tailored care management.
Methods: The adaptation process included forward-backward translation, cultural adaptation, and cognitive debriefing on a prospective sample of 193 ALS patients and 106 controls.
Introduction: Low back pain (LBP) is a significant global health burden, with variable treatment outcomes and an unclear underlying molecular mechanism. Effective prediction of treatment responses remains a challenge. In this study, we aimed to develop gene signature-based machine learning models using transcriptomic data from peripheral immune cells to predict treatment outcomes in patients with LBP.
View Article and Find Full Text PDFBMC Cancer
December 2024
Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background And Aims: Hepatocellular carcinoma (HCC) exhibits a propensity for early recurrence following liver resection, resulting in a bleak prognosis. At present, majority of the predictive models for the early postoperative recurrence of HCC rely on the linear assumption of the Cox Proportional Hazard (CPH) model. However, the predictive efficacy of this model is constrained by the intricate nature of clinical data.
View Article and Find Full Text PDFPancreatology
December 2024
Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA, USA. Electronic address:
Background: Acute pancreatitis (AP) significantly contributes to healthcare costs, but not all patients require hospitalization. A novel, validated Emergency Department (ED) pathway for mild AP (MAP) at our tertiary care center reduced hospitalizations and resource utilization, without affecting outcomes.
Methods: A decision-analytic model was constructed using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist and methodologic recommendations by the Second Panel on Cost-Effectiveness in Health and Medicine to predict healthcare costs based on whether an ED discharge protocol for MAP was utilized.
ISA Trans
December 2024
State Key Laboratory of Mechanical Transmission for Advanced Equipment, Chongqing University, Chongqing 400044, PR China. Electronic address:
The detection of machinery compound faults has always been a great challenge. Most of the current compound fault diagnosis methods require a large number of compound fault data to participate in training. However, in actual engineering, it is impractical to collect abundant fault samples, especially compound fault samples.
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