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期刊名:Journal of evaluation in clinical practice

缩写:J EVAL CLIN PRACT

ISSN:1356-1294

e-ISSN:1365-2753

IF/分区:2.1/Q2

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共收录本刊相关文章索引3748
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Renato de Carvalho Barros,Andrea Stephanus,José Antonio Barbosa Filho et al. Renato de Carvalho Barros et al.
Introduction: Cardiovascular and cerebrovascular diseases are projected to expand in the coming decades as the main cause of death. This study outlines the escalating burden of cardiovascular diseases in low- and middle-i...
Zeynep Arabacı,Gamze Ağartıoğlu Kundakçı,Semanur Çelik Demiryürek Zeynep Arabacı
Aim: This study aims to reveal awareness of age-related changes among individuals aged 40 and over applying to family health centres and to examine whether awareness levels differ by sociodemographic characteristics. ...
Sabiha Dar,Shazia Hasan Sabiha Dar
Background: This study investigates the impact of interpersonal patterns and sociocultural forces on marital relationships in Pakistan, employing the Interpersonal Patterns (IP) Scope framework to examine pathologizing, h...
Michael A Hoffer-Hawlik,Sunil Kapur,Roya Ghazinouri et al. Michael A Hoffer-Hawlik et al.
Genetic sequencing offers providers the potential to identify underlying mechanistic drivers for disease causes, risk alleles, and genetically defined preventative and therapeutic interventions. Broad genotyping of common alleles can inform...
Madeline F E Parr,Pratichi Goenka,Shahidul Islam et al. Madeline F E Parr et al.
Rationale: Effective verbal feedback is crucial for the development of medical trainees; however, the lack of a standardised feedback evaluation framework makes the delivery of effective feedback challenging for faculty. ...
Javier Arredondo Montero Javier Arredondo Montero
Rationale: Meta-analysis is central to evidence-based medicine, yet the implications of model choice remain poorly understood among clinicians. The distinction between fixed-effect and random-effects models is often treat...