Objectives: To evaluate the differences in patients' population and efficacy/effectiveness of biological disease-modifying antirheumatic drugs (bDMARDs) between randomized controlled trials (RCTs) and clinical practice in patients with rheumatoid arthritis.
Methods: We reviewed inclusion criteria in Phase II or III RCTs of bDMARDs conducted in Japan. The Institute of Rheumatology, Rheumatoid Arthritis study participants during the period when each RCT was conducted (Cohort A) and new bDMARD users at our institute in 2016 (Cohort B) were assessed for the fulfilment of the inclusion criteria. The effectiveness of bDMARDs in our cohort and their efficacy in RCTs were compared using the inverse-variance method.
Results: Nineteen RCTs were selected. The mean proportions of patients fulfilling all inclusion criteria of each RCT in Cohorts A and B were 2.3% and 7.6%, respectively. The pooled proportion ratios (95% confidence interval) for achieving the American College of Rheumatology 20 (ACR20), ACR50, ACR70, and disease activity score 28 remission in non-eligible cases for eight RCTs versus all corresponding RCTs were 0.38 (0.30-0.51), 0.41 (0.30-0.57), 0.54 (0.35-0.82), and 1.28 (1.10-1.56), respectively.
Conclusions: Few rheumatoid arthritis patients fulfilled the inclusion criteria of the RCTs in clinical settings. There was a difference in the efficacy/effectiveness of bDMARDs between RCTs and clinical practice.
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http://dx.doi.org/10.1093/mr/roab067 | DOI Listing |
J Med Internet Res
January 2025
College of Nursing, University of Nebraska Medical Center, Omaha, NE, United States.
Background: The known and established benefits of exercise in patients with heart failure (HF) are often hampered by low exercise adherence. Mobile health (mHealth) technology provides opportunities to overcome barriers to exercise adherence in this population.
Objective: This systematic review builds on prior research to (1) describe study characteristics of mHealth interventions for exercise adherence in HF including details of sample demographics, sample sizes, exercise programs, and theoretical frameworks; (2) summarize types of mHealth technology used to improve exercise adherence in patients with HF; (3) highlight how the term "adherence" was defined and how it was measured across mHealth studies and adherence achieved; and (4) highlight the effect of age, sex, race, New York Heart Association (NYHA) functional classification, and HF etiology (systolic vs diastolic) on exercise adherence.
J Med Internet Res
January 2025
School of Health Sciences, Center for Health Technology and Services Research, University of Aveiro, Aveiro, Portugal.
Background: Digital solutions, such as mobile apps or telemonitoring devices, are frequently considered facilitators in the process of empowering older adults, but they can also act as a source of digital exclusion or disempowerment if they are not adequate for older adults' needs and characteristics.
Objective: This study aimed to synthesize and critically evaluate existing evidence on the effectiveness of integrated digital solutions that enable interaction for empowering older adults in aspects related to their health and to explore potential factors (eg, type of technology, participants' characteristics) impacting effectiveness.
Methods: A systematic search was carried out in PubMed, ScienceDirect, SCOPUS, EBSCO, and SciELO using a combination of terms informed by previous reviews on empowerment.
Int Urol Nephrol
January 2025
Department of Toxicology and Pharmacology, Faculty of Pharmacy, Alborz University of Medical Sciences, Karaj, Iran.
Objective: The objective of this systematic review and meta-analysis was to assess the efficacy of melatonin in drug- or contrast-induced AKI in preclinical and clinical studies.
Methods: PubMed, Embase, Scopus, Web of Science (WOS), the Cochrane Database of Systematic Reviews (CDSR), and clinical trials.GOV from the beginning until August 1, 2024.
Forensic Sci Med Pathol
January 2025
Department of Law, Institute of Legal Medicine, University of Macerata, Macerata, Italy.
Purpose: Hypothermia occurs when core body temperature drops below 35 °C. The purpose of this review was to identify and analyze studies on the topic of hypothermia from an immunohistochemical perspective to determine robust markers of fatal hypothermia.
Methods: This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines.
Drug Saf
January 2025
Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Background: Natural language processing (NLP) and machine learning (ML) techniques may help harness unstructured free-text electronic health record (EHR) data to detect adverse drug events (ADEs) and thus improve pharmacovigilance. However, evidence of their real-world effectiveness remains unclear.
Objective: To summarise the evidence on the effectiveness of NLP/ML in detecting ADEs from unstructured EHR data and ultimately improve pharmacovigilance in comparison to other data sources.
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