Evidence map›Paper›PMID 37915020›Full record

ArticleBMC women's health2023

A cross-sectional study of symptoms and health-related quality of life in menopausal-aged women in China.

Tamlyn A Rautenberg, Shu Kay Angus Ng, Martin Downes

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.

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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

3 authors.

Tamlyn A RautenbergCentre for Applied Health Economics, Griffith University, Brisbane, Australia. tamlynr@yahoo.co.uk.
Shu Kay Angus NgCentre for Applied Health Economics, Griffith University, Brisbane, Australia.
Martin DownesCentre for Applied Health Economics, Griffith University, Brisbane, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo measure symptoms and health-related quality of life in a cross-sectional cohort of menopausal-aged women in China.

methodA cross-sectional survey was conducted in a general population cohort of 2,000 Chinese females over the age of 45 years. Patients completed the Chinese version of the EuroQol-5D five level (EQ5D5L) health-related quality of life instrument via Personal Digital Assistant. Raw scores were converted to utility tariffs using value sets for China. Statistical analysis included Pearson's chi-square test, z test for multiple comparisons with adjustment by the Bonferroni method, independent-sample t-test, ANOVA, and adjustment by the Tukey method for multiple comparison. Results were considered statistically significant when p < 0.05 and the study was reported according to the STROBE recommendations.

resultsIn a cohort of 2000 women, 732 (37%) were premenopausal, 798 (40%) were perimenopausal and 470 (23%) were postmenopausal. Perimenopausal women reported significantly more symptoms (91%) compared to premenopausal (77%) and postmenopausal (81%) women. Health-related quality of life was significantly lower in symptomatic perimenopausal women compared to premenopausal (0.919, p < 0.05) and postmenopausal (0.877, p < 0.05) women. Within each group there was a statistically significant difference between the health-related quality of life of women with symptoms compared to without symptoms.

conclusionThe perimenopausal phase of menopause is associated with significantly more symptoms and significantly lower HRQoL compared to premenopausal and postmenopausal phases.

Indexed as

PerimenopauseQuality of LifeAgedCross-Sectional StudiesFemaleHumansMenopauseMiddle AgedPremenopauseChinaEQ5D5LHealth-related quality of lifeHealth state utility valuesMenopausePerimenopausePostmenopausalPremenopausalUtility

Identifiers

PMID37915020
PMCPMC10621238

What OpenQuestion holds

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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.