Evidence map›Paper›PMID 23382477›Full record

ReviewEpidemiologic reviews2013

Biochemical markers of aging for longitudinal studies in humans.

Peter M Engelfriet, Eugène H J M Jansen, H Susan J Picavet, Martijn E T Dollé

Open access · bronzeAbstract readReview
In one paragraph

Review in Epidemiologic reviews, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Erasable serum markers.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. An Expert Consensus Statement on Biomarkers of Aging for Use in Intervention Studies.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Biological Age Predictors: The Status Quo and Future Trends.International journal of molecular sciences · 2022
    Review
  12. Serum copper-to-zinc ratio and risk of incident pneumonia in caucasian men: a prospective cohort study.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2022
    Article
  13. Article
  14. Article
  15. Review
  16. Aging · 2020
    Article
  17. Article
  18. Hallmarks of senescence and aging.Biochemia medica · 2019
    Review
  19. Review
  20. Chronic Obstructive Pulmonary Disease as a Main Factor of Premature Aging.International journal of environmental research and public health · 2019
    Article
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 1 institution in 1 country.

Peter M Engelfriet
Eugène H J M Jansen
H Susan J Picavet
Martijn E T Dollé
National Institute for Public Health and the Environment · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Much progress has been made in the past decades in unraveling the mechanisms that are responsible for aging. The discovery that particular gene mutations in experimental species such as yeast, flies, and nematodes are associated with longevity has led to many important insights into pathways that regulate aging processes. However, extrapolating laboratory findings in experimental species to knowledge that is valid for the complexity of human physiology remains a major challenge. Apart from the restricted experimental possibilities, studying aging in humans is further complicated by the development of various age-related diseases. The availability of a set of biomarkers that really reflect underlying aging processes would be of much value in disentangling age-associated pathology from specific aging mechanisms. In this review, we survey the literature to identify promising biochemical markers of aging, with a particular focus on using them in longitudinal studies of aging in humans that entail repeated measurements on easily obtainable material, such as blood samples. Our search strategy was a 2-pronged approach, one focused on general mechanisms of aging and one including studies on clinical biomarkers of age-related diseases.

Indexed as

Energy MetabolismLipid MetabolismAgingBiomarkersBlood CoagulationDNA RepairGenetic MarkersHomeostasisHumansInflammationKidney Function TestsLongitudinal StudiesOxidative StressProteinsRespiratory Function TestsTelomereBiomarkersGenetic MarkersProteinsagingbiomarkerslongitudinal studies

Identifiers

PMID23382477
PMCPMC4707878
OpenAlexW2124416650

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.