Evidence map›Paper›PMID 22694922›Full record

ArticlePopulation health metrics2012

Predicting mortality with biomarkers: a population-based prospective cohort study for elderly Costa Ricans.

Luis Rosero-Bixby, William H Dow

Open access · goldAbstract read
In one paragraph

Article in Population health metrics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Dried blood spot based biomarkers in the Health and Retirement Study: 2006 to 2016.American journal of human biology : the official journal of the Human Biology Council · 2024
    Article
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  13. Amerindian ancestry and extended longevity in Nicoya, Costa Rica.American journal of human biology : the official journal of the Human Biology Council · 2018
    Article
  14. Article
  15. Observational
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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

2 authors at 2 institutions in 2 countries.

Luis Rosero-BixbyUniversity of California at Berkeley, School of Public Health, 239 University Hall, #7360, Berkeley, CA, 94720-7360, USA. wdow@berkeley.edu.
William H Dow
Universidad de Costa Rica · CRUniversity of California, Berkeley · US

Funding

Program Development (Pilot)P30AG012839 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI William H Dow · 1999 to 2026
$18.6M
Costa Rican Health and Retirement SurveyR01AG031716 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI DOW, WILLIAM H. · 2008 to 2012
$1.6M
NIA NIH HHS P30 AG012839NIA NIH HHS R01 AG031716
6 · The paper itself

Abstract

unlabelled

backgroundLittle is known about adult health and mortality relationships outside high-income nations, partly because few datasets have contained biomarker data in representative populations. Our objective is to determine the prognostic value of biomarkers with respect to total and cardiovascular mortality in an elderly population of a middle-income country, as well as the extent to which they mediate the effects of age and sex on mortality.

methodsThis is a prospective population-based study in a nationally representative sample of elderly Costa Ricans. Baseline interviews occurred mostly in 2005 and mortality follow-up went through December 2010. Sample size after excluding observations with missing values: 2,313 individuals and 564 deaths. MAIN OUTCOME: prospective death rate ratios for 22 baseline biomarkers, which were estimated with hazard regression models.

resultsBiomarkers significantly predict future death above and beyond demographic and self-reported health conditions. The studied biomarkers account for almost half of the effect of age on mortality. However, the sex gap in mortality became several times wider after controlling for biomarkers. The most powerful predictors were simple physical tests: handgrip strength, pulmonary peak flow, and walking speed. Three blood tests also predicted prospective mortality: C-reactive protein (CRP), glycated hemoglobin (HbA1c), and dehydroepiandrosterone sulfate (DHEAS). Strikingly, high blood pressure (BP) and high total cholesterol showed little or no predictive power. Anthropometric measures also failed to show significant mortality effects.

conclusionsThis study adds to the growing evidence that blood markers for CRP, HbA1c, and DHEAS, along with organ-specific functional reserve indicators (handgrip, walking speed, and pulmonary peak flow), are valuable tools for identifying vulnerable elderly. The results also highlight the need to better understand an anomaly noted previously in other settings: despite the continued medical focus on drugs for BP and cholesterol, high levels of BP and cholesterol have little predictive value of mortality in this elderly population.

Identifiers

PMID22694922
PMCPMC3507767
OpenAlexW2114552005

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.