Evidence map›Paper›PMID 41391057›Full record

ReviewBiogerontology2025

From sick care to healthspan: educating the longevity physician for health maintenance and health promotion.

Dominik Thor, David Barzilai, Yu-Xuan Lyu, Luiza Spiru

Erratum issuedAbstract readReview
In one paragraph

Review in Biogerontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Dominik Thor *Geneva College of Longevity Science, 1204, Geneva, Switzerland. research@gcls.study.
David Barzilai *Geneva College of Longevity Science, 1204, Geneva, Switzerland.
Yu-Xuan Lyu *Geneva College of Longevity Science, 1204, Geneva, Switzerland.
Luiza Spiru *Geneva College of Longevity Science, 1204, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper focuses specifically on the education and upskilling of medical doctors, proposing how longevity-related competencies can be incorporated first through continuing medical education (CME) pathways and, eventually, into formal medical curricula. As longevity medicine evolves from research into clinical practice, education has emerged as its defining challenge. While the science of ageing advances rapidly, most physicians remain unprepared to translate biological, technological, and preventive insights into responsible medical care. Emerging foundational fields such as biogerontology, which investigates the biological mechanisms of ageing across organisms, and its clinically oriented derivative geroscience, have created new expectations for translational capacity in healthcare. This paper extends previous conceptual work by outlining potential educational domains, proposing a structured education, and outlining a pedagogical and accreditation model for incorporating longevity-related competencies into medical training pathways. The framework integrates geroscience, digital diagnostics, and healthspan-oriented care within established medical education and quality assurance standards. By exploring potential pathways from postgraduate to continuing education, longevity medicine may contribute to more coherent and evidence-aligned practice. Education may represent one enabling factor in efforts to shift, where feasible, from predominantly reactive care toward more proactive approaches to health maintenance.

Indexed as

Education, Medical, ContinuingGeriatricsHealth PromotionLongevityPhysiciansClinical CompetenceCurriculumHealthy AgingHumansGeroscienceHealthspanLongevity medicineMedical education

Identifiers

PMID41391057
PMCPMC12702796

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.