Evidence map›Paper›PMID 31881062›Full record

SynthesisPloS one2019

NAT2 gene polymorphisms and endometriosis risk: A PRISMA-compliant meta-analysis.

Zhangming Wei, Mengmeng Zhang, Xinyue Zhang, Mingyu Yi, Xiaomeng Xia, Xiaoling Fang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. 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

6 authors at 1 institution in 1 country.

Zhangming WeiDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China.
Mengmeng ZhangDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China.
Xinyue ZhangDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China.
Mingyu YiDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China.
Xiaomeng XiaDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China.
Xiaoling FangDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China.ORCID 0000-0001-6005-9598
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEndometriosis is a common chronic, gynecological disease. Despite many studies on the role of N-acetyltransferase 2 (NAT2) in endometriosis, its clinical significance is unclear. In this study, associations between NAT2 phenotypes as well as single nucleotide polymorphisms (SNPs) within NAT2 (i.e. rs1799929, rs1799930, rs1208, and rs1799931) and endometriosis risk were evaluated using a meta-analysis approach.

methodsEmbase, PubMed, ClinicalTrials.gov, CNKI (China National Knowledge Infrastructure), Wanfang databases, Cochrane Library for clinical trials, and Web of Science were searched to identify relevant articles. ORs (odds ratios) and 95% CIs (95% confidence intervals) were used to estimate the associations between NAT2 polymorphisms and endometriosis risk. Heterogeneity among included studies was also assessed. In addition, a subgroup analysis of NAT2 phenotypes and endometriosis risk based on ethnicity was performed.

resultsNine case-control studies met the inclusion criteria. The odds ratio was 2.30 (95% CI: 1.61-3.28) for the NAT2 slow acetylation phenotype versus the intermediate + fast acetylation phenotype in the Asian population. These results suggest that Asian individuals with the NAT2 slow acetylation phenotype have a 130% increased risk of endometriosis. A significant association was also found for rs1799930 (OR = 0.74; 95% CI, 0.59-0.92), suggesting that individuals with this mutant genotype have a 26% decreased risk of endometriosis.

conclusionsThe rs1799930 mutant genotypes are associated with a decreased risk of endometriosis. No statistically significant associations were found between rs1799931, rs1208, or rs1799929 and endometriosis. Based on a subgroup analysis based on ethnicity, the NAT2 slow acetylation phenotype was found to increase the risk of endometriosis in Asians. No statistically significant associations were found between the NAT2 slow acetylation phenotype and endometriosis risk in Caucasians. Accordingly, NAT2 phenotypes and SNPs are potential biomarkers for the diagnosis and treatment of endometriosis.

Indexed as

Polymorphism, Single NucleotideArylamine N-AcetyltransferaseAsian PeopleEndometriosisFemaleGenetic Predisposition to DiseaseHumansPhenotypeWhite PeopleArylamine N-AcetyltransferaseNAT2 protein, human

Identifiers

PMID31881062
PMCPMC6934289
OpenAlexW2998637692

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.