Evidence map›Paper›PMID 39010668›Full record

ArticleAnnals of clinical and translational neurology2024

Association of changes in predicted body composition with subsequent risk of dementia.

Sung Min Kim, Seulggie Choi, Gyeongsil Lee, Yun Hwan Oh, Joung Sik Son, Ahryoung Ko, Ji Soo Kim, Yoosun Cho, NaNa Keum, Sang Min Park

Abstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Sung Min KimDepartment of Transdisciplinary Medicine, Seoul National University Hospital, Seoul, South Korea.ORCID 0000-0002-1957-2186
Seulggie ChoiDepartment of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.
Gyeongsil LeeLife Clinic, Seoul, South Korea.
Yun Hwan OhDepartment of Family Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong-si, South Korea.
Joung Sik SonDepartment of Family Medicine, Korea University Guro Hospital, Seoul, South Korea.
Ahryoung KoDepartment of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.ORCID 0000-0001-8381-5595
Ji Soo KimInternational Healthcare Center, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Yoosun ChoDepartment of Family Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong-si, South Korea.ORCID 0000-0001-5366-3455
NaNa KeumDepartment of Food Science and Biotechnology, Dongguk University Graduate School, Seoul, South Korea.
Sang Min ParkDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea.

Funding

National Research Foundation of Korea 2021R1F1A1063346
6 · The paper itself

Abstract

objectiveThe effect of body composition change on the risk of dementia is not clear. This study analyzed the associations of changes in predicted lean body mass index (pLBMI), predicted appendicular skeletal muscle mass index (pASMI), and predicted body fat mass index (pBFMI) with the risk of dementia.

methodsIn this nationwide cohort study, data were obtained from the Korean National Health Insurance Service database. The exposure was defined as changes in pLBMI, pASMI, and pBFMI derived from validated prediction equations. The outcome was dementia, defined based on the dementia diagnosis with prescription of anti-dementia medication. Cox proportional hazards regression analyses were performed to obtain the hazard ratio with a 95% confidence interval for risk of dementia according to changes in predicted body composition.

resultsA total of 13,215,208 individuals with no prior record of dementia who underwent health screenings twice between 2009-2010 and 2011-2012 were included. A 1-kg/m

interpretationIncrease in pLBMI or pASMI, or reduction in pBFMI was linked to lower risk of dementia.

Indexed as

Body CompositionBody Mass IndexDementiaAdultAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedMuscle, SkeletalRepublic of KoreaRisk Factors

Identifiers

PMID39010668
PMCPMC11330214

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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.