Evidence mapPaperPMID 39590807Full record

ArticleMetabolites2024

Earlier Age at Menopause, Plasma Metabolome, and Risk of Premature Mortality.

Zeping Yang, Ninghao Huang, Zhenhuang Zhuang, Ming Jin, Ziyi Zhang, Yimin Song, Haoliang Cui, Shan Zhang, Tao Huang, Xiaojing Liu and 1 more

Abstract read
In one paragraph

Article in Metabolites, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Zeping YangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.ORCID 0009-0004-2793-0678
Ninghao HuangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Zhenhuang ZhuangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Ming JinDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Ziyi ZhangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Yimin SongDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Haoliang CuiDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.ORCID 0009-0007-8362-0967
Shan ZhangDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing 100191, China.
Tao HuangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Xiaojing LiuDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Nan LiDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.ORCID 0000-0002-2932-9649

Funding

Beijing Natural Science Foundation No.7234401China Postdoctoral Science Foundation No.88014Y0226
6 · The paper itself

Abstract

BACKGROUND/

objectivesMenopause and related metabolites are associated with mortality. However, the relationship between earlier menopause, premature mortality, and the role of metabolomic signatures remains underexplored. This study investigated the association between earlier menopause and premature mortality, and the mediating effect of metabolomic signatures.

methodsThis prospective cohort study used data from the UK Biobank, including 33,687 post-menopausal women aged 40-69 years. Age at menopause was obtained from a baseline self-reported questionnaire and analyzed both as a continuous variable and in categories (<40, 40-49, and ≥50 years). Premature mortality was defined as deaths before 75 years. Cox regression was used to estimate hazard ratios (HRs), and elastic net regression identified metabolomic signatures related to menopause age. Mediation analysis was conducted to assess the proportion of the association explained by the metabolomic signature.

resultsDuring a median follow-up of 13.7 years, 1612 cases of premature mortality occurred. Compared to menopause at ≥50 years, earlier menopause (HR 1.17, 95% CI 1.04-1.30) and premature menopause (HR 1.60, 95% CI 1.28-2.00) were associated with higher risks of premature mortality. A metabolomic signature inversely associated with premature mortality (HR per SD increment, 0.79; 95% CI, 0.75-0.83) mediated 13.6% (95% CI, 1.9%-28.3%) of the association between earlier menopause and premature mortality.

conclusionsEarlier menopause is associated with an increased risk of premature mortality, partially mediated by a metabolomic signature related to age at menopause. These findings highlight the importance of metabolomic profiling in understanding menopause and mortality risks.

Indexed as

earlier age at menopausemediation analysisplasma metabolomepremature mortality

Identifiers

PMID39590807
PMCPMC11596455

What Socratic 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 Socratic graph.