Evidence map›Paper›PMID 24940342›Full record

SynthesisAfrican health sciences2013

Vitamin D intake and type 2 diabetes risk: a meta-analysis of prospective cohort studies.

Li-min Zhao, Xiao-qin Tian, Jia-pu Ge, Yan-cheng Xu

Abstract readMeta-Analysis
In one paragraph

Synthesis in African health sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 pooled it
–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

13 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

4 authors.

Li-min ZhaoDepartment of Endocrinology, Zhongnan Hospital, Wuhan University, Wuhan, HuBei 430071, P.R. China.
Xiao-qin TianDepartment of Endocrinology, Traditional Chinese Medicine Hospital, XinJiang Medical University, Urumqi, XinJiang 830000, P.R. China.
Jia-pu GeDepartment of Endocrinology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, XinJiang 830011, P.R. China.
Yan-cheng XuDepartment of Endocrinology, Zhongnan Hospital, Wuhan University, Wuhan, HuBei 430071, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe findings form studies on the relationship between vitamin D and type 2 diabetes were inconsistent.

objectivesTo elucidate the association between vitamin D consumption and type 2 diabetes risk by conducting a meta-analysis.

methodsWe conducted a systematic literature search to identify prospective cohort studies of vitamin D intake and type 2 diabetes risk prior to November 2012. Eligible studies were retrieved via both computer searches and manual review of references. The summary risk estimates were calculated based on the highest versus the lowest categories.

resultsMeta-analysis of 4 prospective cohort studies involving 187, 592 participants and 9, 456 incident cases showed an absence of significant association between total vitamin D intake and type 2 diabetes risk. The combined RR was 0.93 (95% CI: 0.85-1.01). The associations were similar for subgroup analyses, a combined RR respectively was 0.94 (95% CI: 0.77-1.08), 0.91 (95% CI: 0.77-1.08), 0.93 (95% CI: 0.84-1.02), and 0.92 (95% CI: 0.84-1.01) for the intake of dietary vitamin D, supplemental vitamin D, total vitamin D in USA and total vitamin D for women only.

conclusionsOur results support that there was no association between vitamin D intake and type 2 diabetes.

Indexed as

DietDiabetes Mellitus, Type 2FemaleHumansProspective StudiesRisk FactorsSurveys and QuestionnairesVitamin DVitamin DDietMeta-analysisType 2 DiabetesVitamin D

Identifiers

PMID24940342
PMCPMC4056501

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.