Evidence map›Paper›PMID 37974147›Full record

ArticleBMC women's health2023

The impact of SARS-COV-2 infection on menstruation.

Xiaozhu Zhong, Keji Lu, Weiying Liang, Luozi Jihu, Anqi Zeng, Miao Ding, Dongmei Chen, Meiqing Xie

Abstract read
In one paragraph

Article in BMC women's health, 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

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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. 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

8 authors.

Xiaozhu ZhongDepartment of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, 510120, China.
Keji LuDepartment of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, 510120, China.
Weiying LiangDepartment of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, 510120, China.
Luozi JihuDepartment of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, 510120, China.
Anqi ZengDepartment of Obstetrics & Gynaecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou City, 510080, China.
Miao DingDepartment of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, 510120, China.
Dongmei ChenDepartment of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, 510120, China. chendm84@163.com.
Meiqing XieDepartment of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, 510120, China. xiemq@mail.sysu.edu.cn.

Funding

National Natural Science Foundation of China 82001504National Natural Science Foundation of China 82171670
6 · The paper itself

Abstract

backgroundRecent study has demonstrated that the GnRH system in patients with post-COVID syndrome may be influenced by SARS-CoV-2. However, the impact of COVID-19 infection on women's menstruation is still unknown.

objectiveWe aimed to investigate the the relationship between coronavirus disease 2019 (COVID-19) and menstruation in premenopausal women.

methodsThis was a retrospective cohort study. Pre-menopausal women were invited to participate in the online questionnaire on wechat. Participants were divided into four groups according to whether they were infected with severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) and whether they had menstrual changes during the pandemic. Sociodemographic characteristics, history of COVID-19, menstruation and menstrual changes of the participants were collected. Statistical analyses were performed using SPSS, version 25.0 (SPSS Inc., Chicago, IL, USA).

resultsA total of 1946 women were included in the study. 1800 participants had been or were currently infected with SARS-COV-2, and 146 people had not been infected. Among 1800 patients with COVID-19, 666 (37.0%) had changes in menstruation, and 1134 (63.0%) did not, which was significantly higher than the uninfected participants (c

conclusionsThe association between the COVID-19 and increased prevalence of menstrual cycle irregularity. COVID-19 vaccination is a protective factor in the long term, and participants with chest pain and dyspnea are more likely to develop AUB.

Indexed as

COVID-19MenstruationMenstruation DisturbancesAdultChest PainCOVID-19 VaccinesDyspneaFemaleHumansMiddle AgedPremenopauseRetrospective StudiesSARS-CoV-2COVID-19 VaccinesAbnormal uterine bleedingCOVID-19Menstrual cycle

Identifiers

PMID37974147
PMCPMC10655360

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.