Evidence map›Paper›PMID 27572824›Full record

Observational studyJournal of the American Heart Association2016

Participant-Reported Health Status Predicts Cardiovascular and All-Cause Mortality Independent of Established and Nontraditional Biomarkers: Evidence From a Representative US Sample.

Steven D Barger, Matthew R Cribbet, Matthew F Muldoon

Open access · goldAbstract readObservational Study
In one paragraph

Observational study 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 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
9.2field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 60 citations in OpenAlex.

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  12. Impact of Risk-Stratified Therapy on Health Status in Survivors of Childhood Acute Lymphoblastic Leukemia: A Report from the Childhood Cancer Survivor Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
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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 at 2 institutions in 1 country.

Steven D BargerDepartment of Psychological Sciences, Northern Arizona University, Flagstaff, AZ steven.barger@nau.edu.
Matthew R CribbetDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Matthew F MuldoonUPMC Heart and Vascular Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA.
University of Pittsburgh · USNorthern Arizona University · US

Funding

Translational Research Training in Sleep MedicineT32HL082610 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Daniel J. Buysse, PETER L FRANZEN · 2007 to 2026
$5.8M
NHLBI NIH HHS T32 HL082610
6 · The paper itself

Abstract

backgroundParticipant-reported health status is a key indicator of cardiovascular health, but its predictive value relative to traditional and nontraditional risk factors is unknown. We evaluated whether participant-reported health status, as indexed by self-rated health, predicted cardiovascular disease, and all-cause mortality risk excess of 10-year atherosclerotic cardiovascular disease (ASCVD) risk scores and 5 nontraditional risk biomarkers. METHODS AND

resultsAnalyses used prospective observational data from the 1999-2002 National Health and Nutrition Examination Surveys among those aged 40 to 79 years (N=4677). Vital status was ascertained through 2011, during which there were 850 deaths, 206 from cardiovascular disease (CVD). We regressed CVD and all-cause mortality on standardized values of self-rated health in survival models, adjusting for age, sex, education, existing chronic disease, race/ethnicity, ASCVD risk, and standardized biomarkers (fibrinogen, C-reactive protein [CRP], triglycerides, albumin, and uric acid). In sociodemographically adjusted models, a 1-SD decrease in self-rated health was associated with increased risk of CVD mortality (hazard ratio [HR], 1.92; 95% CI, 1.51-2.45; P<0.001), and this hazard remained strong after adjusting for ASCVD risk and nontraditional biomarkers (HR, 1.79; 95% CI, 1.42-2.26; P<0.001). Self-rated health also predicted all-cause mortality even after adjustment for ASCVD risk and nontraditional biomarkers (HR, 1.50; 95% CI, 1.35-1.66; P<0.001).

conclusionsSelf-rated health provides prognostic information beyond that captured by traditional ASCVD risk assessments and by nontraditional CVD biomarkers. Consideration of self-rated health in combination with traditional risk factors may facilitate risk assessment and clinical care.

Indexed as

Health StatusMortalitySelf ReportAgedBiomarkersCardiovascular DiseasesCause of DeathCholesterol, LDLC-Reactive ProteinFemaleFibrinogenHumansMaleMiddle AgedNutrition SurveysPatient Reported Outcome MeasuresBiomarkersCholesterol, LDLC-Reactive ProteinFibrinogenSerum AlbuminTriglyceridesUric Acidbiological markerscardiovascular disease risk factorsepidemiologyhealth policy and outcomes researchmortalitypatient reported outcomesquality of life

Identifiers

PMID27572824
PMCPMC5079034
OpenAlexW2516972339

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.