Evidence map›Paper›PMID 41419512›Full record

Reviewnpj aging2025

Do we actually need aging clocks?

Dmitrii Kriukov, Evgeniy Efimov, Mikhail S Gelfand, Alexey Moskalev, Ekaterina E Khrameeva

Abstract readReview
In one paragraph

Review in npj aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

5 authors.

Dmitrii KriukovSkolkovo Institute of Science and Technology, Moscow, Russia. kriukov@airi.net.
Evgeniy EfimovSkolkovo Institute of Science and Technology, Moscow, Russia.
Mikhail S GelfandSkolkovo Institute of Science and Technology, Moscow, Russia.
Alexey MoskalevInstitute of Longevity, Petrovsky Russian Research Center for Surgery, Moscow, Russia.
Ekaterina E KhrameevaSkolkovo Institute of Science and Technology, Moscow, Russia.

Funding

Russian Science Foundation 25-71-20017
6 · The paper itself

Abstract

Aging clocks use machine learning to estimate biological age as a proxy for general health state. Here, we critically examine their practical value, highlighting fundamental challenges: abstract definitions, inconsistent clinical validation, and ignored prediction uncertainty. By comparing aging clocks with expert risk scores, direct outcome predictors, and emerging large health models, we question their benefits and encourage researchers to explicitly justify clock advantage over established alternatives, ensuring truly actionable insights.

Identifiers

PMID41419512
PMCPMC12820280

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.