Evidence map›Paper›PMID 33841822›Full record

ArticleFood science & nutrition2021

Association between maternal folate status and gestational diabetes mellitus.

Yan Yang, Zixin Cai, Jingjing Zhang

Open access · hybridAbstract read
In one paragraph

Article in Food science & nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 18% of its field
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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Yan YangDepartment of Metabolism and Endocrinology Metabolic Syndrome Research Center Key Laboratory of Diabetes Immunology Ministry of Education National Clinical Research Center for Metabolic Diseases The Second Xiangya Hospital of Central South University Changsha China.
Zixin CaiDepartment of Metabolism and Endocrinology Metabolic Syndrome Research Center Key Laboratory of Diabetes Immunology Ministry of Education National Clinical Research Center for Metabolic Diseases The Second Xiangya Hospital of Central South University Changsha China.
Jingjing ZhangDepartment of Metabolism and Endocrinology Metabolic Syndrome Research Center Key Laboratory of Diabetes Immunology Ministry of Education National Clinical Research Center for Metabolic Diseases The Second Xiangya Hospital of Central South University Changsha China.ORCID https://orcid.org/0000-0002-9155-8979
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies on the association between maternal folate status and gestational diabetes mellitus (GDM) have yielded inconsistent results. This meta-analysis was performed to determine whether there may exist some association between maternal folate status and GDM. Unrestricted searches of PubMed, Web of Science, Cochrane, and Embase were conducted. All relevant studies on the association between maternal folat status and GDM risk were screened. The standardized mean difference (SMD) with 95% CIs was used to determine the association between maternal folate and GDM. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using random-effects models to assess the impact of maternal folate status on GDM risk. 12 studies were included. The overall data revealed that compared with the non-GDM group, women with GDM had higher level of folate (SMD 0.41, 95% CI 0.07 to 0.21,

Indexed as

folateGDMgestational diabetes mellitusmeta‐analysis

Identifiers

PMID33841822
PMCPMC8020922
OpenAlexW3133152152

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.