Evidence map›Paper›PMID 37745707›Full record

ArticleFrontiers in endocrinology2023

The causal association between polycystic ovary syndrome and susceptibility and severity of COVID-19: a bidirectional Mendelian randomization study using genetic data.

Yu Si, Yuye Fei, Hua Ma, Yating Xu, Li Ning, Xiu Li, Qingling Ren

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In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

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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

5 citing papers in PubMed.

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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

7 authors.

Yu SiThe Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Yuye FeiThe Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Hua MaThe Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Yating XuThe Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Li NingThe Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Xiu LiThe Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Qingling RenThe Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Observational studies have reported an association between polycystic ovary syndrome (PCOS) and COVID-19, but a definitive causal relationship has not been established. This study aimed to assess this association using two-way two-sample Mendelian randomization (MR). Methods: A summary of PCOS characteristics was compiled using the PCOS summary statistics from the Apollo University of Cambridge Repository. COVID-19 susceptibility and severity statistics, including hospitalization and extremely severe disease, were obtained from genome-wide association studies from the COVID-19 Host Genetics Initiative. The primary analysis used the inverse variance-weighted method, supplemented by the weighted median, MR-Egger, and MR-PRESSO methods. Results: The forward MR analysis showed no significant impact of PCOS on COVID-19 susceptibility, hospitalization, or severity (OR = 0.983, 1.011, 1.014; 95% CI = 0.958-1.008, 0.958-1.068, 0.934-1.101; and Conclusion: This MR study suggested that PCOS is not a causal risk factor for the susceptibility and severity of COVID-19. The associations identified in previous observational studies might be attributable to the presence of comorbidities in the patients.

Indexed as

COVID-19Polycystic Ovary SyndromeCausalityFemaleGenome-Wide Association StudyHumansMendelian Randomization AnalysisCOVID-19diabetesMendelian randomizationpolycystic ovarian syndromeSARS-CoV-2

Identifiers

PMID37745707
PMCPMC10515223

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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.