Evidence map›Paper›PMID 30863757›Full record

ArticleWorld journal of clinical cases2019

Adiponectin gene polymorphisms and risk of gestational diabetes mellitus: A meta-analysis.

Lin-Ting Huang, Shi-Lan Wu, Xin Liao, Shu-Juan Ma, Hong-Zhuan Tan

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. The Variants inJournal of multidisciplinary healthcare · 2023
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  9. Effect of Genetic Variations in theDiabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Article
  10. Review
  11. Article
  12. Article
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 at 1 institution in 1 country.

Lin-Ting HuangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410083, Hunan Province, China.
Shi-Lan WuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410083, Hunan Province, China.
Xin LiaoDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410083, Hunan Province, China.
Shu-Juan MaDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410083, Hunan Province, China.
Hong-Zhuan TanDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410083, Hunan Province, China. tanhz99@qq.com.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdiponectin (ADIPOQ) is an important factor involved in the regulation of both carbohydrate and lipid metabolism. Polymorphisms in the

aimTo quantitatively evaluate the association between

methodsA systematic search of EMBASE, PubMed, CNKI, Web of Science, and WANFANG DATA was conducted up to October 20, 2018. We calculated merged odds ratios (ORs) with 95% confidence intervals (CIs) using a fixed-effects or random-effects model depending on the between-study heterogeneity to evaluate the association between

resultsNine studies of

conclusionOur meta-analysis shows the critical role of the

Indexed as

AdiponectinGeneGestational diabetes mellitusMeta-analysisPolymorphismSingle nucleotide

Identifiers

PMID30863757
PMCPMC6406200
OpenAlexW2920903435

What OpenQuestion holds

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LicenceCC BY-NC
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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.