Evidence map›Paper›PMID 33514386›Full record

ArticleBiology of sex differences2021

Association of menopausal status with COVID-19 outcomes: a propensity score matching analysis.

Xing-Wang Wang, Hao Hu, Zhi-Yong Xu, Gong-Kai Zhang, Qing-Hua Yu, Hui-Lan Yang, Ji-Hua Zheng

Abstract read
In one paragraph

Article in Biology of sex differences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Observational
  9. Premenopausal and postmenopausal women during the COVID-19 pandemic.Przeglad menopauzalny = Menopause review · 2022
    Review
  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

7 authors.

Xing-Wang Wang *Department of Dermatology, General Hospital of Southern Theater Command, No. 111 Liuhua Road, Guangzhou, 510010, People's Republic of China.
Hao Hu *Department of Radiation Therapy, General Hospital of Southern Theater Command, No. 111 Liuhua Road, Guangzhou, 510010, People's Republic of China.
Zhi-Yong Xu *Department of Radiation Therapy, General Hospital of Southern Theater Command, No. 111 Liuhua Road, Guangzhou, 510010, People's Republic of China.
Gong-Kai ZhangDepartment of Dermatology, General Hospital of Southern Theater Command, No. 111 Liuhua Road, Guangzhou, 510010, People's Republic of China.
Qing-Hua YuDepartment of Emergency, General Hospital of Southern Theater Command, Guangzhou, People's Republic of China.
Hui-Lan YangDepartment of Dermatology, General Hospital of Southern Theater Command, No. 111 Liuhua Road, Guangzhou, 510010, People's Republic of China. huilany88@vip.163.com.
Ji-Hua ZhengDepartment of Radiation Therapy, General Hospital of Southern Theater Command, No. 111 Liuhua Road, Guangzhou, 510010, People's Republic of China. zjz19930901@163.com.ORCID 0000-0001-9210-4971

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the growing number of studies on the coronavirus disease-19 (COVID-19), little is known about the association of menopausal status with COVID-19 outcomes. MATERIALS AND

methodsIn this retrospective study, we included 336 COVID-19 inpatients between February 15, 2020 and April 30, 2020 at the Taikang Tongji Hospital (Wuhan), China. Electronic medical records including patient demographics, laboratory results, and chest computed tomography (CT) images were reviewed.

resultsIn total, 300 patients with complete clinical outcomes were included for analysis. The mean age was 65.3 years, and most patients were women (n = 167, 55.7%). Over 50% of patients presented with comorbidities, with hypertension (63.5%) being the most common comorbidity. After propensity score matching, results showed that men had significantly higher odds than premenopausal women for developing severe disease type (23.7% vs. 0%, OR 17.12, 95% CI 1.00-293.60; p = 0.003) and bilateral lung infiltration (86.1% vs. 64.7%, OR 3.39, 95% CI 1.08-10.64; p = 0.04), but not for mortality (2.0% vs. 0%, OR 0.88, 95% CI 0.04-19.12, p = 1.00). However, non-significant difference was observed among men and postmenopausal women in the percentage of severe disease type (32.7% vs. 41.7%, OR 0.68, 95% CI 0.37-1.24, p = 0.21), bilateral lung infiltration (86.1% vs. 91.7%, OR 0.56, 95% CI 0.22-1.47, p = 0.24), and mortality (2.0% vs. 6.0%, OR 0.32, 95% CI 0.06-1.69, p = 0.25).

conclusionsMen had higher disease severity than premenopausal women, while the differences disappeared between postmenopausal women and men. These findings support aggressive treatment for the poor prognosis of postmenopausal women in clinical practice.

Indexed as

PostmenopausePremenopauseAgedAged, 80 and overAge FactorsChinaComorbidityCOVID-19FemaleHospitalizationHumansMaleMiddle AgedPropensity ScoreRetrospective StudiesRisk FactorsCOVID-19Disease severityMenopause statusMortalityPropensity score matching

Identifiers

PMID33514386
PMCPMC7844785

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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.