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Global prevalence of depression in chronic kidney disease: a systematic review and meta-analysis

Adejumo OA, Edeki IR, Dapo O, Falade J, Yisau OE, Ige OO, Adesida AO, Palencia H et al.

2023

79,691 participants

Abstract

ABSTRACT:

Background: Chronic kidney disease (CKD) is commonly associated with psychosocial problems, especially depression, contributing to poor overall outcomes in CKD patients. Depression has not been given adequate priority in the management of CKD despite its significant adverse impact.

Objectives: This systematic review and meta-analysis determined the pooled prevalence of clinical depression in the global CKD population and sub-populations.

Design: A systematic search of PubMed, African Journals Online (AJOL), and EMBASE was undertaken to identify published articles with relevant data between 1989 and 2022. The pooled prevalence of clinical depression in the global CKD population was determined using random effects meta-analytic techniques.

Participants: Global adult and paediatric CKD population

Results: Eligible Sixty-one articles were included in this review, comprising 79,691 CKD patients from 26 countries. The participants’ mean age ranged from 11.0 to 76.3 years. Most (68.9%) of the studies had medium methodological quality. The overall pooled prevalence of depression was 27.6% (95% CI: 23.9–31.5%). Studies using Diagnostic Statistical Manual (DSM), International Classification of Disease, Mini-International Neuropsychiatric Interview and Structured Clinical Interview for DSM disorder returned a pooled prevalence of 31.7%, 39.6%, 23.3%, 25.1%, respectively; p=0.09. There was significant difference in the pooled prevalence of CKD across the various continents;…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 79,691 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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