Evidence map›Paper›PMID 36499430›Full record

ReviewInternational journal of molecular sciences2022

Biological Age Predictors: The Status Quo and Future Trends.

Veronika V Erema, Anna Y Yakovchik, Daria A Kashtanova, Zanda V Bochkaeva, Mikhail V Ivanov, Dmitry V Sosin, Lorena R Matkava, Vladimir S Yudin, Valentin V Makarov, Anton A Keskinov and 2 more

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Lifetime trauma exposure and accelerated epigenetic aging among midlife women.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Geroscience in the continuum from healthy longevity to frailty.Zeitschrift fur Gerontologie und Geriatrie · 2024
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Observational
  15. Review
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

12 authors.

Veronika V EremaFederal State Budgetary Institution, Centre for Strategic Planning and Management of Biomedical Health Risks, Federal Medical Biological Agency, Pogodinskaya Str. 10 Bld. 1, Moscow 119121, Russia.ORCID 0000-0003-0547-3280
Anna Y YakovchikFederal State Budgetary Institution, Centre for Strategic Planning and Management of Biomedical Health Risks, Federal Medical Biological Agency, Pogodinskaya Str. 10 Bld. 1, Moscow 119121, Russia.
Daria A KashtanovaFederal State Budgetary Institution, Centre for Strategic Planning and Management of Biomedical Health Risks, Federal Medical Biological Agency, Pogodinskaya Str. 10 Bld. 1, Moscow 119121, Russia.ORCID 0000-0001-8977-4384
Zanda V BochkaevaFederal State Budgetary Institution, Centre for Strategic Planning and Management of Biomedical Health Risks, Federal Medical Biological Agency, Pogodinskaya Str. 10 Bld. 1, Moscow 119121, Russia.
Mikhail V IvanovFederal State Budgetary Institution, Centre for Strategic Planning and Management of Biomedical Health Risks, Federal Medical Biological Agency, Pogodinskaya Str. 10 Bld. 1, Moscow 119121, Russia.
Dmitry V SosinFederal State Budgetary Institution, Centre for Strategic Planning and Management of Biomedical Health Risks, Federal Medical Biological Agency, Pogodinskaya Str. 10 Bld. 1, Moscow 119121, Russia.ORCID 0000-0003-1471-8905
Lorena R MatkavaFederal State Budgetary Institution, Centre for Strategic Planning and Management of Biomedical Health Risks, Federal Medical Biological Agency, Pogodinskaya Str. 10 Bld. 1, Moscow 119121, Russia.
Vladimir S YudinFederal State Budgetary Institution, Centre for Strategic Planning and Management of Biomedical Health Risks, Federal Medical Biological Agency, Pogodinskaya Str. 10 Bld. 1, Moscow 119121, Russia.ORCID 0000-0002-9199-6258
Valentin V MakarovFederal State Budgetary Institution, Centre for Strategic Planning and Management of Biomedical Health Risks, Federal Medical Biological Agency, Pogodinskaya Str. 10 Bld. 1, Moscow 119121, Russia.
Anton A KeskinovFederal State Budgetary Institution, Centre for Strategic Planning and Management of Biomedical Health Risks, Federal Medical Biological Agency, Pogodinskaya Str. 10 Bld. 1, Moscow 119121, Russia.
Sergey A KraevoyFederal State Budgetary Institution, Centre for Strategic Planning and Management of Biomedical Health Risks, Federal Medical Biological Agency, Pogodinskaya Str. 10 Bld. 1, Moscow 119121, Russia.
Sergey M YudinFederal State Budgetary Institution, Centre for Strategic Planning and Management of Biomedical Health Risks, Federal Medical Biological Agency, Pogodinskaya Str. 10 Bld. 1, Moscow 119121, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is no single universal biomarker yet to estimate overall health status and longevity prospects. Moreover, a consensual approach to the very concept of aging and the means of its assessment are yet to be developed. Markers of aging could facilitate effective health control, more accurate life expectancy estimates, and improved health and quality of life. Clinicians routinely use several indicators that could be biomarkers of aging. Duly validated in a large cohort, models based on a combination of these markers could provide a highly accurate assessment of biological age and the pace of aging. Biological aging is a complex characteristic of chronological age (usually), health-to-age concordance, and medically estimated life expectancy. This study is a review of the most promising techniques that could soon be used in routine clinical practice. Two main selection criteria were applied: a sufficient sample size and reliability based on validation. The selected biological age calculators were grouped according to the type of biomarker used: (1) standard clinical and laboratory markers; (2) molecular markers; and (3) epigenetic markers. The most accurate were the calculators, which factored in a variety of biomarkers. Despite their demonstrated effectiveness, most of them require further improvement and cannot yet be considered for use in standard clinical practice. To illustrate their clinical application, we reviewed their use during the COVID-19 pandemic.

Indexed as

COVID-19Quality of LifeAgingBiomarkersHumansPandemicsReproducibility of ResultsBiomarkersage-related diseasesbiological ageCOVID-19life expectancymolecular clock

Identifiers

PMID36499430
PMCPMC9739540

What OpenQuestion holds

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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.