Evidence map›Paper›PMID 40093354›Full record

ArticleDementia and geriatric cognitive disorders extra

Brain Volume Metric Analysis Is Correlated with Aging Changes and Sex Differences in Thai Older Adults.

Weerasak Muangpaisan, Chanon Ngamsombat, Yudthaphon Vichianin, Chaisak Dumrikarnlert, Akanitha Seeboonruang, Julaporn Pooliam, Panida Charnchaowanish, Napapong Pongnapang, Suchanan Kanjanapong, Harisd Phannarus and 2 more

Abstract read
In one paragraph

Article in Dementia and geriatric cognitive disorders extra. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Weerasak MuangpaisanDivision of Geriatrics, Department of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Chanon NgamsombatDepartment of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Yudthaphon VichianinDepartment of Radiological Technology, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand.
Chaisak DumrikarnlertNeuroscience Center, Bangkok International Hospital, Bangkok, Thailand.
Akanitha SeeboonruangNeuroscience Center, Bangkok International Hospital, Bangkok, Thailand.
Julaporn PooliamResearch Data Management Unit, Office for Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Panida CharnchaowanishDepartment of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Napapong PongnapangDepartment of Radiological Technology, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand.
Suchanan KanjanapongDivision of Geriatrics, Department of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Harisd PhannarusDivision of Geriatrics, Department of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Jitphapa PongmoragotNeuroscience Center, Bangkok International Hospital, Bangkok, Thailand.
Orasa ChawalparitDepartment of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Normative data on structural brain volume changes with age and sex differences are required as a reference standard for future research and clinical use. Methods: We studied a two-center, metropolitan-based, prospective cohort of adults aged 55 years and older who were recruited from community-dwelling settings and outpatient clinics without cognitive impairment at baseline and who were followed up for 2 years. The clinical data, neuropsychological tests, and brain MRI obtained with FreeSurfer software were utilized for quantitative volumetric measurements. Results: A total of 296 participants were recruited at the beginning, with 17 participants (5.8%, excluding 2 subjects with claustrophobia) excluded due to abnormal MRI findings and 27 participants (9.1%) excluded due to MCI/dementia. Among the 250 remaining, 14 patients dropped out or were lost to follow-up, and 35 had MCI or AD converters (14.8%). The remaining 201 subjects with normal cognitive function aged 55-85 years were analyzed for structural brain volume. There were significant correlations between age and brain parameters, including the hippocampus, corpus callosum, thalamus, and ventricular volume changes ( Conclusion: Age and sex contributed to differences in brain structure and ventricular volume. These data could be used as a normative reference for clinical interpretation in people up to 85 years old and for understanding the physiological aging-related changes in the brain.

Indexed as

AgingAging and cognitionAging brainBrain imagingBrain volumeCognitive agingDementiaOlder adults

Identifiers

PMID40093354
PMCPMC11908812

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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.