Evidence map›Paper›PMID 38395801›Full record

SynthesisBMC pregnancy and childbirth2024

Causal effects of endometriosis on SLE, RA and SS risk: evidence from meta-analysis and Mendelian randomization.

Tianyou Tang, Yi Zhong, Sipei Xu, Huilin Yu

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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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.

Tianyou TangChildren's Hospital of Chongqing Medical University, Chongqing, China. 2020210155@stu.cqmu.edu.cn.
Yi ZhongChildren's Hospital of Chongqing Medical University, Chongqing, China.
Sipei XuThe First Medicine College, Chongqing Medical University, Chongqing, China.
Huilin YuThe Second Medicine College, Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndometriosis is an underdiagnosed disorder that affects an estimated 6-10% of women of reproductive age. Endometriosis has been reported in epidemiological studies to be associated with autoimmune diseases. However, the relationship remains controversial.

methodsA meta-analysis of observational studies was undertaken to evaluate the risk of autoimmune diseases in patients with endometriosis. The relevant studies were retrieved via the databases Medline, Embase and Web of Science until July 20, 2023. Mendelian randomization (MR) was subsequently utilized to scrutinize the causal influence of genetic predisposition toward endometriosis on three autoimmune diseases.

resultsThe meta-analysis findings revealed a relationship between endometriosis and the onset of SLE (cohort studies: RR = 1.77, 95% confidence interval (CI): 1.47-2.13, I

conclusionsBoth our meta-analysis and MR study indicate that endometriosis increases the risk of autoimmune diseases. These findings not only broaden our understanding of the genetic mechanisms underlying the comorbidity of endometriosis and autoimmune diseases, but also offer a new strategy for autoimmune disease prevention.

Indexed as

Arthritis, RheumatoidAutoimmune DiseasesEndometriosisLupus Erythematosus, SystemicCross-Sectional StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisEndometriosisMendelian randomizationMeta-analysisRheumatoid arthritis (RA)Sjögren’s syndrome (SS)Systemic lupus erythematosus (SLE)

Identifiers

PMID38395801
PMCPMC10885476

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.