Evidence map›Paper›PMID 41230623›Full record

ArticleAging cell2025

Entropy and Human Aging.

Steven R Cummings, Namki Hong, Alan A Cohen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging cell, 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. Article
  3. 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

3 authors.

Steven R CummingsSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, USA.
Namki HongDivision of Endocrinology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Alan A CohenDepartment of Environmental Health Sciences, Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, USA.ORCID 0000-0003-4113-3988

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Entropy, a measure of disorder and randomness, is an essential feature of thermodynamics, chemistry, and information theory, but there has been little study of entropy in human aging. Entropy arises from random molecular interactions or other forms of damage and will manifest at all levels of human biology. It should also progress in concert across many systems and increase the risk of numerous aging-related conditions. Illustrating these principles, research by Hong in this issue of Aging Cell applies Mahalanobis distance to quantify entropy in electrocardiograms showing that entropy in one system predicts aging-related outcomes-fracture and mortality-beyond the heart. Important issues for research on entropy and human aging include the best methods for quantifying entropy and whether the development of entropy can be slowed or reversed in humans.

Indexed as

AgingEntropyHumansagingelectrocardiographyentropyrejuvenation

Identifiers

PMID41230623
PMCPMC12686579

What OpenQuestion holds

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LicenceCC BY
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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.