Evidence map›Paper›PMID 42142219›Full record

ReviewGeroScience2026

Aging beyond diagnosis: the MRI brain age gap across disorders.

Hamad Yahia Abu Mhanna, Lena K L Oestreich, Rajat Vashistha, Yanan Wang, Viktor Vegh

Abstract readReview
PubMed Publisher
In one paragraph

Review in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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.

Hamad Yahia Abu MhannaSchool of Human Movement and Nutrition Sciences, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, St Lucia, Brisbane, QLD, Australia.
Lena K L OestreichAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia.
Rajat VashisthaAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia.
Yanan WangReactive Transport Department, Institute of Resource Ecology, Helmholtz-Zentrum Dresden-Rossendorf, Leipzig Research Site, Permoserstr. 15, 04318, Leipzig, Germany.
Viktor VeghSchool of Human Movement and Nutrition Sciences, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, St Lucia, Brisbane, QLD, Australia. v.vegh@uq.edu.au.ORCID http://orcid.org/0000-0002-4310-1421

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The brain age gap (BAG), the difference between magnetic resonance imaging-predicted brain age and chronological age, is a proposed marker of neurobiological aging, yet its transdiagnostic significance remains uncertain. This meta-analysis evaluated BAG in Alzheimer's disease (AD), mild cognitive impairment (MCI), multiple sclerosis (MS), Parkinson's disease (PD), schizophrenia (SCZ), stroke, and bipolar disorder (BD) to determine shared and disorder-specific patterns of accelerated brain aging. Sixty-five MRI-based studies were included. For each cohort, BAG was extracted or calculated, and standardized mean differences (Hedges' g) were computed between patient and healthy control groups using random-effects models. Subgroup analyses and meta-regressions were conducted to assess the influence of age and disorder characteristics. Publication bias and heterogeneity were evaluated using Egger's test, I

Indexed as

Brain age gapClinical translationMachine learningMeta-analysisMRINeurodegenerationNeuroimaging biomarkerPsychiatry

Identifiers

PMID42142219

What Socratic holds

Textmetadata
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 Socratic graph.