Evidence map›Paper›PMID 27487829›Full record

ArticleJournal of the American Heart Association2016

Progression of Metabolic Syndrome Severity During the Menopausal Transition.

Matthew J Gurka, Abhishek Vishnu, Richard J Santen, Mark D DeBoer

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 3 pooled it
9.9field-weighted citation impact, top 1% of its field
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

86 citing papers in PubMed, 3 syntheses or guidelines pooled it, 171 citations in OpenAlex.

  1. Pooled it
  2. Brazilian Guideline on Menopausal Cardiovascular Health - 2024.Arquivos brasileiros de cardiologia · 2024
    Guideline
  3. Women Have a Lower Risk of Nonalcoholic Fatty Liver Disease but a Higher Risk of Progression vs Men: A Systematic Review and Meta-analysis.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2021
    Pooled it
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26 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Matthew J GurkaDepartment of Health Outcomes and Policy, College of Medicine, University of Florida, Gainesville, FL.
Abhishek VishnuDepartment of Health Outcomes and Policy, College of Medicine, University of Florida, Gainesville, FL.
Richard J SantenDivision of Endocrinology, Department of Medicine, University of Virginia, Charlottesville, VA.
Mark D DeBoerDivision of Pediatric Endocrinology, Department of Pediatrics, University of Virginia, Charlottesville, VA deboer@virginia.edu.
University of Virginia · USUniversity of Florida · USUniversity of Florida Health · US

Funding

Socioeconomic Status and Subjective Social Status as Modifiers of Stressors and Discrimination in their Relationship with MetS Severity Over TimeR01HL120960 · NHLBI · WEST VIRGINIA UNIVERSITY · PI DEBOER, MARK DANIEL, GURKA, MATTHEW JAMES · 2014 to 2018
$2.1M
NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS R01 HL120960
6 · The paper itself

Abstract

backgroundAfter menopause, women exhibit a higher prevalence of the metabolic syndrome (MetS) and higher risk of cardiovascular disease. However, the timing of changes in MetS severity over the menopausal transition and whether these changes differ by racial/ethnic group remain unclear. METHODS AND

resultsWe assessed data from 1470 women from the Atherosclerosis Risk in Communities cohort who experienced transition in menopausal status over 10 years (visits 1-4). We used linear mixed models to evaluate changes by menopausal status (premenopause, perimenopause, and postmenopause) in a MetS severity Z-score and in the individual MetS components. While there were gradual increases in MetS severity over time across menopause stages, black women in particular exhibited more rapid progression in MetS severity during the premenopausal and perimenopausal periods than during the postmenopausal period. In the postmenopausal period (compared with prior periods), white women exhibited unfavorable decreases in high-density lipoprotein, while black women exhibited favorable alterations in the rate of change for waist circumference, triglycerides, high-density lipoprotein, and glucose, contributing to the slowed progression of MetS severity. These changes were all observed after adjusting for hormone replacement treatment.

conclusionsDuring menopausal transition, women exhibited rapid increases in MetS severity during the premenopausal and perimenopausal periods, with black women having significant reductions in this increase in severity during the postmenopausal period. These data suggest that the higher prevalence of MetS in postmenopausal women may be caused more by changes during the menopausal transition than by postmenopause. These findings may thus have implications regarding the timing of cardiovascular risk relative to menopause.

Indexed as

Blood GlucoseCohort StudiesDisease ProgressionFemaleHumansLipoproteins, HDLMenopauseMetabolic SyndromeMiddle AgedPerimenopausePostmenopausePremenopauseSeverity of Illness IndexTriglyceridesWaist CircumferenceBlood GlucoseLipoproteins, HDLTriglyceridescardiovascular disease risk factorsmenopausemetabolic syndromerace and ethnicitytype 2 diabetes mellitus

Identifiers

PMID27487829
PMCPMC5015287
OpenAlexW2480371710

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.