Evidence map›Paper›PMID 39185269›Full record

ArticleIJID regions2024

Menopause symptom prevalence in three post-COVID-19 syndrome clinics in England: A cross-sectional analysis.

Stuart Stewart, Adrian Heald, Yvette Pyne, Nawar Diar Bakerly

Abstract read
In one paragraph

Article in IJID regions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Stuart StewartDonal O'Donoghue Renal Research Centre, Northern Care Alliance NHS Foundation Trust, Salford, United Kingdom.
Adrian HealdSchool of Medical Sciences, University of Manchester, Manchester, United Kingdom.
Yvette PyneCentre for Academic Primary Care, University of Bristol, Bristol, United Kingdom.
Nawar Diar BakerlySalford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: There is an overlap between symptoms of perimenopause/menopause and post-COVID syndrome and there is a concern that some female patients referred to post-COVID syndrome clinics may have undiagnosed perimenopause/menopause. However, the prevalence of such symptoms in this population is unknown. Methods: Cross-sectional analysis of 122 women's health questionnaires as part of a service improvement project in three National Health Service post-COVID syndrome clinics in England. The primary outcomes were prevalence of menopause symptoms and association between the total menopause symptom questionnaire (MSQ) score and the key predictors. Results: Age group 40-54 years showed the highest prevalence of most individual symptoms and the highest mean total MSQ score (36.4; confidence interval [CI] 32.3-40.6), correlating clinically with the onset of perimenopause/menopause. Regression modeling shows a significant positive parabolic relationship between age and total MSQ score. Age group 40-54 years is associated with a 6.60-point higher (CI 1.31-11.9) total MSQ score than the age group 55-79 years; an increase of one index of multiple deprivation quintile is associated with a 2.85-point lower (CI -1.24 to -4.45) total MSQ score; presence of a gynecologic diagnosis is associated with a 6.31-point higher (CI 1.32-11.3) total MSQ score. A total of 51% of patients who menstruate reported menstrual disturbance with COVID-19 infection and 21% with COVID-19 vaccination. Conclusions: Symptoms possibly attributable to perimenopause and menopause were highly prevalent among female patients attending post-COVID syndrome clinics in Greater Manchester, England. Our findings provide key prevalence estimates and significant predictors of MSQ scores that are vital for future research, clinical practice, and policy.

Indexed as

COVID-19Long COVIDMenopausePerimenopausePopulation healthWomen's Health

Identifiers

PMID39185269
PMCPMC11342884

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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.