Qing Yang, Wenting Ji, Julan Guo, Han Fu, Hang Li, Jing Gao, Chaoming Hou
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引用次数: 0
Abstract
Background: The number of risk prediction models for sarcopenia in patients undergoing maintenance haemodialysis (MHD) is increasing. However, the quality, applicability, and reporting adherence of these models in clinical practice and future research remain unknown.
Objective: To systematically review published studies on risk prediction models for sarcopenia in patients undergoing MHD.
Design: Systematic review and meta-analysis of observational studies.
Methods: This systematic review adhered to the PRISMA guidelines. Search relevant domestic and international databases, which were searched from the inception of the databases until November 2023. The Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS) checklist was used to extract data. The Prediction Model Risk of Bias Assessment Tool (PROBAST) checklist was used to assess the risk of bias and applicability. The Transparent Reporting of a Multivariate Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) was used to assess the reporting adherence.
Results: A total of 478 articles were retrieved, and 12 prediction models from 11 articles were included after the screening process. The incidence of sarcopenia in patients undergoing MHD was 16.38%-37.29%. The reported area under the curve (AUC) ranged from 0.73 to 0.955. All studies had a high risk of bias, mainly because of inappropriate data sources and poor reporting in the field of analysis. The combined AUC value of the six validation models was 0.91 (95% confidence interval: 0.87-0.94), indicating that the model had a high discrimination.
Conclusion: Although the included studies reported to some extent the discrimination of predictive models for sarcopenia in patients undergoing MHD, all studies were assessed to have a high risk of bias according to the PROBAST checklist, following the reporting guidelines outlined in the TRIPOD statement, and adherence was incomplete in all studies.
期刊介绍：
The Journal of Clinical Nursing (JCN) is an international, peer reviewed, scientific journal that seeks to promote the development and exchange of knowledge that is directly relevant to all spheres of nursing practice. The primary aim is to promote a high standard of clinically related scholarship which advances and supports the practice and discipline of nursing. The Journal also aims to promote the international exchange of ideas and experience that draws from the different cultures in which practice takes place. Further, JCN seeks to enrich insight into clinical need and the implications for nursing intervention and models of service delivery. Emphasis is placed on promoting critical debate on the art and science of nursing practice.
JCN is essential reading for anyone involved in nursing practice, whether clinicians, researchers, educators, managers, policy makers, or students. The development of clinical practice and the changing patterns of inter-professional working are also central to JCN''s scope of interest. Contributions are welcomed from other health professionals on issues that have a direct impact on nursing practice.
We publish high quality papers from across the methodological spectrum that make an important and novel contribution to the field of clinical nursing (regardless of where care is provided), and which demonstrate clinical application and international relevance.
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