Evidence map›Paper›PMID 19004190›Full record

ReviewAdvances in clinical chemistry2008

Biomarkers related to aging in human populations.

Eileen Crimmins, Sarinnapha Vasunilashorn, Jung Ki Kim, Dawn Alley

Abstract readReview
In one paragraph

Review in Advances in clinical chemistry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed
67.4field-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

96 citing papers in PubMed, 151 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Article
  9. Article
  10. Mexican Health and Aging Study Biomarker and Genetic Data Profile.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  11. Article
  12. Article
  13. Harmonization of four biomarkers across nine nationally representative studies of older persons.American journal of human biology : the official journal of the Human Biology Council · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Toxicology of pharmaceutical and nutritional longevity compounds.Expert reviews in molecular medicine · 2023
    Review
  20. Article

36 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 2 institutions in 1 country.

Eileen CrimminsAndrus Gerontology Center, Davis School of Gerontology, University of Southern California, Los Angeles, California 90089, USA.
Sarinnapha Vasunilashorn
Jung Ki Kim
Dawn Alley
University of Southern California · USRobert Wood Johnson Foundation · US

Funding

USC/UCLA Center on Biodemography &Population HealthP30AG017265 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE · 1999 to 2026
$17.9M
RESEARCH TRAINING IN GERONTOLOGYT32AG000037 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, EILEEN M CRIMMINS · 1985 to 2026
$13.2M
NIA NIH HHS P30 AG017265NIA NIH HHS P30 AG17265NIA NIH HHS T32 AG000037
6 · The paper itself

Abstract

Biomarkers are increasingly employed in empirical studies of human populations to understand physiological processes that change with age, diseases whose onset appears linked to age, and the aging process itself. In this chapter, we describe some of the most commonly used biomarkers in population aging research, including their collection, associations with other markers, and relationships to health outcomes. We discuss biomarkers of the cardiovascular system, metabolic processes, inflammation, activity in the hypothalamic-pituitary axis (HPA) and sympathetic nervous system (SNS), and organ functioning (including kidney, lung, and heart). In addition, we note that markers of functioning of the central nervous system and genetic markers are now becoming part of population measurement. Where possible, we detail interrelationships between these markers by providing correlations between high risk levels of each marker from three population-based surveys: the National Health and Nutrition Examination Survey (NHANES) III, NHANES 1999-2002, and the MacArthur Study of Successful Aging. NHANES III is used instead of NHANES 1999-2002 when specific markers of interest are available only in NHANES III and when we examine the relationship of biomarkers to mortality which is only known for NHANES III. We also describe summary measures combining biomarkers across systems. Finally, we examine associations between individual markers and mortality and provide information about biomarkers of growing interest for future research in population aging and health.

Indexed as

AgingBiomarkersBody Mass IndexCardiovascular Physiological PhenomenaCatecholaminesC-Reactive ProteinGenetic MarkersHumansInterleukin-6LipidsBiomarkersCatecholaminesC-Reactive ProteinGenetic MarkersInterleukin-6Lipids

Identifiers

PMID19004190
PMCPMC5938178
OpenAlexW110485342

What OpenQuestion holds

Textmetadata
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.