Evidence map›Paper›PMID 42538314›Full record

ArticleObesity (Silver Spring, Md.)2026

Personalized Weight-Loss Targets for Metabolic Syndrome Reversal: A BMI-Normalization Achievement Rate-Based Cohort Study.

Junfeng Qi, Longzhu Xiong, Chuansha Wu, Xiaojie Sun, Junlin Li, Likun Ren, Chaoliang Yi, Yuqin Shi, Ling Zhang, Xiongfei Pan and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Obesity (Silver Spring, Md.), 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

12 authors.

Junfeng QiInstitute of Chronic and Non-Communicable Disease Control and Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, China.
Longzhu XiongEnvironmental Toxicology Laboratory, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Chuansha WuEnvironmental Toxicology Laboratory, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Xiaojie SunEnvironmental Toxicology Laboratory, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Junlin LiInstitute of Chronic and Non-Communicable Disease Control and Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, China.
Likun RenEnvironmental Toxicology Laboratory, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Chaoliang YiEnvironmental Toxicology Laboratory, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Yuqin ShiEnvironmental Toxicology Laboratory, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Ling ZhangEnvironmental Toxicology Laboratory, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Xiongfei PanEnvironmental Toxicology Laboratory, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, China.ORCID https://orcid.org/0000-0002-9350-9230
Ting ZhouEnvironmental Toxicology Laboratory, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Shuzhen ZhuInstitute of Chronic and Non-Communicable Disease Control and Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, China.

Funding

Central Government Transfer Payment for Major Local Public Health Projects: Early Screening and Intervention for High-Risk Populations with Cardiovascular Disease in China Z135080000022Health Commission of Hubei Province WJ2025M174Hubei Provincial Advantaged Characteristic Disciplines (Groups) Project of Wuhan University of Science and Technology 2023C0101
6 · The paper itself

Abstract

objectiveThis study aimed to explore personalized weight-loss targets for metabolic syndrome (MetS) reversal by introducing the BMI-normalization achievement rate (BMI-NAR), a novel baseline-BMI-scaled metric.

methodsIn a longitudinal cohort of 7340 adults with overweight/obesity and MetS from the ChinaHEART project, BMI-NAR was defined as the percentage of progress toward a normal BMI (< 24 kg/m

resultsEach 50% increase in BMI-NAR was significantly associated with MetS reversal (overall: OR = 1.10, 95% CI: 1.07-1.12; overweight: OR = 1.08, 95% CI: 1.06-1.11; obesity: OR = 2.36, 95% CI: 2.00-2.80). The probability of reversal increased steeply beyond exploratory minimum effective thresholds (37% BMI-NAR for overall; 53% for overweight; 22% for obesity), with benefits observed up to ~165% in the total population, beyond which data were sparse. No clear upper plateau was identified in populations with overweight and obesity. These exploratory thresholds translate into personalized weight-loss targets: a minimum reduction of 2%-8% for typical overweight (baseline BMI 25-27.99 kg/m

conclusionsMetS reversal does not require full BMI normalization. BMI-NAR provides a hypothesis-generating, quantifiable framework for exploring personalized minimum effective weight-loss goals in this high-risk population. However, external validation is required before clinical application.

Indexed as

Body Mass IndexMetabolic SyndromeObesityWeight LossAdultChinaCohort StudiesFemaleHumansLogistic ModelsLongitudinal StudiesMaleMiddle AgedOverweightPrecision MedicineBMI normalizationmetabolic syndrome reversalobesityoverweightweight‐loss

Identifiers

PMID42538314
PMCPMC13511398

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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.