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Vitamin D Supplementation and Mortality in the Elderly: A Review of a Meta-Analysis of Randomized Controlled Trials Using the REB Method

Journal
Fundamental & clinical pharmacology (Q2)
Published
1 November 2026
Study design
Systematic review / meta-analysis of RCTs
Evidence level
Level 1, High (CEBM 1a)
Authors
Natalia Kostakis, Jean-Christophe Lega, Remy Boussageon
PMID
42823826
DOI
10.1111/fcp.70112

Why clinicians should know about it

Abstract

BACKGROUND: The results of randomized controlled trials (RCTs) regarding the effect of vitamin D supplementation on mortality reduction are conflicting. OBJECTIVE: The aim of this study was to assess the level of evidence through a sensitivity analysis of the meta-analysis by Shah et al. (2024) using the Rebuilt the Evidence Base (REB) method. METHODS: The main inclusion criterion was a double-blind, placebo-controlled RCT design. The exclusion criteria were trials combining vitamin D with other nutrients and unpublished RCTs. The main outcome was all-cause mortality. A bias analysis was performed, followed by a hypothetico-deductive analysis to determine the confirmatory or exploratory nature of each RCT. The REB method was used to interpret the results and assess the level of evidence. RESULTS: Among the 25 RCTs included in the meta-analysis by Shah et al., the analysis was performed on 8 RCTs at low risk of bias including 30 320 participants. Seven RCTs raised some concerns, and two RCTs were at high risk of bias according to ROB2. Bias arose from the randomization process, deviations from intended interventions, missing outcome data, and selection of the reported results. The results were statistically significant, in favor of vitamin D supplementation: RR = 0.96 (95% CI [0.92, 1.00]), p = 0.04. No RCT was conclusive. CONCLUSION: According to the REB method, there is an evidence signal regarding the benefit of vitamin D supplementation in the population aged 75 and older, which remains to be confirmed.

Abstract as published, via PubMed.

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For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.