Evidence map›Paper›PMID 25994446›Full record

ArticleJournal of the American Heart Association2015

Race and ethnicity, obesity, metabolic health, and risk of cardiovascular disease in postmenopausal women.

Michelle D Schmiegelow, Haley Hedlin, Rachel H Mackey, Lisa W Martin, Mara Z Vitolins, Marcia L Stefanick, Marco V Perez, Matthew Allison, Mark A Hlatky

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Menopause, androgens, and cardiovascular ageing: a narrative review.Therapeutic advances in endocrinology and metabolism · 2022
    Review
  5. Differential effects ofFrontiers in endocrinology · 2022
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Observational
  14. Review
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

9 authors.

Michelle D SchmiegelowDepartment of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (M.D.S., M.A.H.) Department of Cardiology, Gentofte University Hospital, Copenhagen, Denmark (M.D.S.).
Haley HedlinDepartment of Medicine, Stanford University School of Medicine, Stanford, CA (H.H., M.L.S., M.V.P., M.A.H.).
Rachel H MackeyDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA (R.H.M.).
Lisa W MartinDivision of Cardiology, George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.).
Mara Z VitolinsDepartment of Epidemiology & Prevention, Wake Forest School of Medicine, Winston-Salem, NC (M.Z.V.).
Marcia L StefanickDepartment of Medicine, Stanford University School of Medicine, Stanford, CA (H.H., M.L.S., M.V.P., M.A.H.).
Marco V PerezDepartment of Medicine, Stanford University School of Medicine, Stanford, CA (H.H., M.L.S., M.V.P., M.A.H.).
Matthew AllisonDepartment of Family and Preventive Medicine, University of California, San Diego, CA (M.A.).
Mark A HlatkyDepartment of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (M.D.S., M.A.H.) Department of Medicine, Stanford University School of Medicine, Stanford, CA (H.H., M.L.S., M.V.P., M.A.H.).

Funding

PHS HHS HHSN268201100001CPHS HHS HHSN268201100002CPHS HHS HHSN268201100003CPHS HHS HHSN268201100004CPHS HHS HHSN268201100046C
6 · The paper itself

Abstract

backgroundIt is unclear whether obesity unaccompanied by metabolic abnormalities is associated with increased cardiovascular disease risk across racial and ethnic subgroups. METHODS AND

resultsWe identified 14 364 postmenopausal women from the Women's Health Initiative who had data on fasting serum lipids and serum glucose and no history of cardiovascular disease or diabetes at baseline. We categorized women by body mass index (in kg/m(2)) as normal weight (body mass index 18.5 to <25), overweight (body mass index 25 to <30), or obese (body mass index ≥30) and by metabolic health, defined first as the metabolic syndrome (metabolically unhealthy: ≥3 metabolic abnormalities) and second as the number of metabolic abnormalities. We used Cox proportional hazards regression to assess associations between baseline characteristics and cardiovascular risk. Over 13 years of follow-up, 1101 women had a first cardiovascular disease event (coronary heart disease or ischemic stroke). Among black women without metabolic syndrome, overweight women had higher adjusted cardiovascular risk than normal weight women (hazard ratio [HR] 1.49), whereas among white women without metabolic syndrome, overweight women had similar risk to normal weight women (HR 0.92, interaction P=0.05). Obese black women without metabolic syndrome had higher adjusted risk (HR 1.95) than obese white women (HR 1.07; interaction P=0.02). Among women with only 2 metabolic abnormalities, cardiovascular risk was increased in black women who were overweight (HR 1.77) or obese (HR 2.17) but not in white women who were overweight (HR 0.98) or obese (HR 1.06). Overweight and obese women with ≤1 metabolic abnormality did not have increased cardiovascular risk, regardless of race or ethnicity.

conclusionsMetabolic abnormalities appeared to convey more cardiovascular risk among black women.

Indexed as

AgedBody Mass IndexCardiovascular DiseasesEthnicityFemaleFollow-Up StudiesHumansIncidenceMetabolic SyndromeMiddle AgedObesityOverweightPostmenopauseRisk FactorsWomencardiovascular diseasemetabolism (metabolic syndrome)obesityrace/ethnicitywomen

Identifiers

PMID25994446
PMCPMC4599406

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.