Evidence map›Paper›PMID 34093670›Full record

ReviewFrontiers in genetics2021

Ranking Biomarkers of Aging by Citation Profiling and Effort Scoring.

Alexander Hartmann, Christiane Hartmann, Riccardo Secci, Andreas Hermann, Georg Fuellen, Michael Walter

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.6field-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

42 citing papers in PubMed, 79 citations in OpenAlex.

  1. Review
  2. Article
  3. Improving our understanding of the biology of aging: findings from the Age-It Research Program.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Observational
  10. Article
  11. An Update on Neuroaging on Earth and in Spaceflight.International journal of molecular sciences · 2025
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Validation of biomarkers of aging.Nature medicine · 2024
    Review
  19. Review
  20. Deep learning-based age estimation from chest CT scans.International journal of computer assisted radiology and surgery · 2024
    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

6 authors at 2 institutions in 1 country.

Alexander HartmannInstitute of Clinical Chemistry and Laboratory Medicine, Rostock University Medical Center, Rostock, Germany.
Christiane HartmannTranslational Neurodegeneration Section "Albrecht-Kossel", Department of Neurology, Rostock University Medical Center, Rostock, Germany.
Riccardo SecciInstitute for Biostatistics and Informatics in Medicine and Aging Research, Rostock University Medical Center, Rostock, Germany.
Andreas HermannTranslational Neurodegeneration Section "Albrecht-Kossel", Department of Neurology, Rostock University Medical Center, Rostock, Germany.
Georg FuellenInstitute for Biostatistics and Informatics in Medicine and Aging Research, Rostock University Medical Center, Rostock, Germany.
Michael WalterInstitute of Clinical Chemistry and Laboratory Medicine, Rostock University Medical Center, Rostock, Germany.
University of Rostock · DECharité - Universitätsmedizin Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging affects most living organisms and includes the processes that reduce health and survival. The chronological and the biological age of individuals can differ remarkably, and there is a lack of reliable biomarkers to monitor the consequences of aging. In this review we give an overview of commonly mentioned and frequently used potential aging-related biomarkers. We were interested in biomarkers of aging in general and in biomarkers related to cellular senescence in particular. To answer the question whether a biological feature is relevant as a potential biomarker of aging or senescence in the scientific community we used the PICO strategy known from evidence-based medicine. We introduced two scoring systems, aimed at reflecting biomarker relevance and measurement effort, which can be used to support study designs in both clinical and research settings.

Indexed as

agingbiomarkerhealthsenescencesurvival

Identifiers

PMID34093670
PMCPMC8176216
OpenAlexW3161934607

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.