Evidence map›Paper›PMID 42004716›Full record

SynthesisPeerJ2026

Effect of vitamin D supplementation on blood lipids in patients with metabolic syndrome: a meta-analysis.

Qijun Wang, Hong Huang, Wenshu Jin, Shaoguan Wang, Xiaofang Tu

Abstract readMeta-Analysis
In one paragraph

Synthesis in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Qijun WangDepartment of Endocrinology, Zhejiang Hospital, Hangzhou City, Zhejiang Province, China.
Hong HuangDepartment of Endocrinology, Zhejiang Hospital, Hangzhou City, Zhejiang Province, China.
Wenshu JinDepartment of Endocrinology, Zhejiang Hospital, Hangzhou City, Zhejiang Province, China.
Shaoguan WangDepartment of Endocrinology, Zhejiang Hospital, Hangzhou City, Zhejiang Province, China.
Xiaofang TuDepartment of Endocrinology, Zhejiang Hospital, Hangzhou City, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Vitamin D, a fat-soluble vitamin critical for bone metabolism, has recently been implicated in metabolic homeostasis. Growing evidence suggests its potential role in modulating lipid profiles in metabolic syndrome. Objectives: This meta-analysis evaluated the effects of vitamin D supplementation on blood lipids in patients with metabolic syndrome. Methods: We searched the randomized controlled trials from 1948 to February 1, 2026 involving vitamin D supplementation treatment for patients with metabolic syndrome from PubMed, EMBASE, Cochrane library, SinoMed, and conducted a meta-analysis. The meta-analysis was registered on the PROSPERO, the registration number is CRD42024591657. Results: Finally, seven trials were included in the meta-analysis. The results demonstrated that vitamin D supplementation significantly reduced triglyceride levels (MD = -12.64, 95% CI [-21.23∼-4.04], Conclusions: Our meta-analysis confirmed the effects of vitamin D in the management of triglyceride level in metabolic syndrome patients. Vitamin D supplementation showed potential benefits on increasing the high-density lipoprotein cholesterol levels especially with daily regimens. More randomized controlled trials are needed to confirm the result.

Indexed as

Dietary SupplementsLipidsMetabolic SyndromeVitamin DCholesterol, HDLCholesterol, LDLHumansRandomized Controlled Trials as TopicTriglyceridesCholesterol, HDLCholesterol, LDLLipidsTriglyceridesVitamin DCholesterolLipidsMetabolic syndromeTriglycerideVitamin D

Identifiers

PMID42004716
PMCPMC13086024

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.