Evidence map›Paper›PMID 42507651›Full record

ArticlePloS one2026

The effectiveness of a knowledge graph-based lifestyle intervention recommendation system in improving body composition, muscle strength, and physical function in sarcopenic obesity: Study protocol for a randomized controlled trial.

Xiaohong Liu, Yuxuan Lu, Meiling Fu, Zhenzhen Huang, Ting Shi, Jie Zou, Yinqin Zhong, Yun Chen

Abstract readClinical Trial Protocol
In one paragraph

Article in PloS one, 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
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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

8 authors.

Xiaohong LiuShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, China.
Yuxuan LuShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, China.
Meiling FuShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, China.
Zhenzhen HuangShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, China.
Ting ShiShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, China.
Jie ZouShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, China.
Yinqin ZhongShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, China.
Yun ChenShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, China.ORCID https://orcid.org/0009-0007-4333-4878

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenic obesity (SO) is a complex condition characterized by the coexistence of sarcopenia and obesity, with pathophysiological mechanisms extending beyond the additive effects of either condition alone. Lifestyle intervention is considered an effective management strategy for SO; however, substantial interindividual variability in physiological status and behavioral preferences limits the implementation of personalized intervention. This study aims to evaluate the effectiveness of a knowledge graph-based lifestyle recommendation system in improving skeletal muscle mass and related outcomes in patients with SO.

methodsThis randomized controlled trial will recruit 208 patients with SO, who will be randomly assigned in a 1:1 ratio to an intervention or control group. In addition to routine lifestyle guidance, the intervention group will receive a 24-week personalized intervention delivered through the Sarcopenic Obesity-Knowledge Graph Care System (SO-KGCS), whereas the control group will receive routine health education and lifestyle advice only. The intervention period is defined as the 24-week intervention period from baseline to week 24. The primary outcome measure is skeletal muscle mass. Secondary outcome measures include grip strength, skeletal muscle mass index, body fat percentage, physical function, and quality of life. Outcomes will be assessed at baseline before randomization and at weeks 8, 16, and 24 during the 24-week intervention period. The intervention will end at week 24, after which participants will enter a 24-week post-intervention follow-up period without systematic intervention. Follow-up outcome data will be collected at week 48. DISCUSSION: This study will evaluate the effectiveness of a knowledge graph-based recommendation system in enhancing body composition, muscle strength, physical function, and quality of life in patients with SO. If effective, the SO-KGCS may provide a feasible intelligent approach for personalized chronic disease management.

trial registrationChiCTR, ChiCTR2500111882.

Indexed as

Body CompositionLife StyleMuscle StrengthObesitySarcopeniaAdultAgedFemaleHumansMaleMiddle AgedMuscle, SkeletalQuality of LifeRandomized Controlled Trials as Topic

Identifiers

PMID42507651
PMCPMC13405061

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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.