Evidence map›Paper›PMID 32909175›Full record

ArticleJournal of endocrinological investigation2021

Cardiometabolic index: a new tool for screening the metabolically obese normal weight phenotype.

X Liu, Q Wu, G Yan, J Duan, Z Chen, P Yang, N L Bragazzi, Y Lu, H Yuan

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Journal of endocrinological investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07609043 (Impact of Prasterone on Cardiometabolic Indicators in Perimenopausal Women.), which is not on this map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% of its field
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.

NCT07609043 phase3completednot on this map

Impact of Prasterone on Cardiometabolic Indicators in Perimenopausal Women.

TypeinterventionalSponsorUniversidad de GuanajuatoRan2020 to 2021Enrolled25ConditionsCardio Metabolic RiskArmsPrasterone 50 milligram
3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

X Liu *Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China.
Q Wu *Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China.
G YanCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China.
J DuanCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China.
Z ChenDepartment of Health Examination Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
P YangDepartment of Health Examination Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
N L BragazziCentre for Disease Modelling, York University, Toronto, ON, Canada.
Y LuCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China. luyao0719@163.com.ORCID http://orcid.org/0000-0001-6743-7870
H YuanCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China. yuanhong01@csu.edu.cn.
Central South University · CNYork University · CA

Funding

National Natural Science Foundation of China 81770403National Social Science Foundation of China 17AZD037
6 · The paper itself

Abstract

purposePeople with the metabolically obese normal weight (MONW) phenotype are considered as an extremely high-risk group for unfavorable health consequences, but they are frequently undetected due to deceptive body mass index (BMI) and complex assessment. This study aimed to explore the clinical usefulness of cardiometabolic index (CMI) in identifying MONW individuals.

methodsThis cross-sectional study involved a total of 47,683 normal-weight subjects aged ≥ 18 years. Participants underwent anthropometrics, routine biochemical tests, and questionnaires for a full evaluation of the metabolic profile. The odds ratio (OR) of CMI and MONW phenotype was determined by the Logistic regression models and the diagnostic accuracy of CMI was evaluated by the receiver operating characteristic (ROC) curve analysis.

resultsThe prevalence of MONW phenotype was 11.0%. After multivariate adjustment, the ORs for MONW in the highest compared with the lowest quartile of CMI was 71.20 (95% CI 55.19-91.86), and 1-SD increment of CMI brought a 54% additional risk. In ROC analysis, compared with BMI and waist circumference, CMI showed superior performance for identifying MONW individuals with an AUC of 0.853 (95% CI 0.847-0.860) in men and 0.912 (95% CI 0.906-0.918) in women, respectively. Moreover, CMI exhibited the highest diagnostic accuracy in younger age groups (aged 18-34 for men; aged 18-34 and 35-44 for women), in which AUCs surpassed 0.9 in both sexes.

conclusionsCMI could be served as a valuable indicator to identify MONW phenotype of Chinese adults, particularly for young people.

Indexed as

Metabolic SyndromeMetabolomeAdolescentAdultAge FactorsBiological Variation, PopulationBody Mass IndexCardiometabolic Risk FactorsChinaCross-Sectional StudiesDiagnostic ErrorsFemaleHealth Status IndicatorsHumansIdeal Body WeightMaleCardiometabolic indexMetabolically healthy normal weightMetabolically obese normal weight

Identifiers

PMID32909175
OpenAlexW3084195048

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.