Evidence map›Paper›PMID 39743988›Full record

ReviewFrontiers in aging2024

New insights into methods to measure biological age: a literature review.

Aanchal Mathur, Sebastien Taurin, Sfoug Alshammary

Abstract readReview
In one paragraph

Review in Frontiers in aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Aanchal MathurDepartment of Molecular Medicine, Princess Al Jawhara Center, College of Medicine and Health Sciences, Arabian Gulf University, Manama, Bahrain.
Sebastien TaurinDepartment of Molecular Medicine, Princess Al Jawhara Center, College of Medicine and Health Sciences, Arabian Gulf University, Manama, Bahrain.
Sfoug AlshammaryDepartment of Molecular Medicine, Princess Al Jawhara Center, College of Medicine and Health Sciences, Arabian Gulf University, Manama, Bahrain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological age is a concept that reflects the physiological state of an individual rather than the chronological time since birth. It can help assess the risk of age-related diseases and mortality and the effects of interventions to slow down or reverse aging. However, there is no consensus on measuring biological age best, and different methods may yield different results. In this paper, which includes 140 relevant pieces of literature, out of 33,000, we review some new methods to measure biological age based on recent advances in biotechnology and data science. We discussed some novel biomarkers and algorithms that can capture the dynamic and multidimensional aspects of aging at different levels. We evaluate their performance and validity using various datasets and criteria and compare them with existing methods. We also discuss their potential applications and implications for aging research and clinical practice. We conclude that the new methods offer more accurate and reliable estimates of biological age and open new avenues for understanding and modulating the aging process.

Indexed as

biological agechronologic ageepigenetic ageexosomesmicrobiome

Identifiers

PMID39743988
PMCPMC11688636

What OpenQuestion holds

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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.