Evidence map›Paper›PMID 33758523›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

Associations of Metabolic/Obesity Phenotypes with Insulin Resistance and C-Reactive Protein: Results from the CNTR Study.

Chunxiao Liao, Wenjing Gao, Weihua Cao, Jun Lv, Canqing Yu, Shengfeng Wang, Zengchang Pang, Liming Cong, Hua Wang, Xianping Wu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 14% 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.

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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Obesity phenotypes related to musculoskeletal disorders; a cross-sectional study from RaNCD cohort.Archives of public health = Archives belges de sante publique · 2022
    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

11 authors at 5 institutions in 1 country.

Chunxiao LiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, People's Republic of China.
Wenjing GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, People's Republic of China.
Weihua CaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, People's Republic of China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, People's Republic of China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, People's Republic of China.
Shengfeng WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, People's Republic of China.
Zengchang PangQingdao Center for Diseases Control and Prevention, Qingdao, 266033, People's Republic of China.
Liming CongZhejiang Center for Disease Control and Prevention, Hangzhou, 310051, People's Republic of China.
Hua WangJiangsu Center for Disease Control and Prevention, Nanjing, 210009, People's Republic of China.
Xianping WuSichuan Center for Disease Control and Prevention, Chengdu, 610041, People's Republic of China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, People's Republic of China.
Peking University · CNJiangsu Provincial Center for Disease Control and Prevention · CNQingdao Municipal Center for Disease Control and Prevention · CNSichuan Center for Disease Control and Prevention · CNZhejiang Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is a heterogeneous condition in terms of metabolic status. Different obesity phenotypes have various health risks. The aim of this work was to define different subtypes of obesity and investigate their relationship with inflammatory-cardiometabolic abnormalities among Chinese adult twins.

methodsThe analyses used data from 1113 adult twins in 4 provinces (Shandong, Zhejiang, Jiangsu and Sichuan) from Chinese National Twin Registry (CNTR) which collected detailed information. We defined those with 0 or 1 metabolic syndrome (MetS) components excluding waist circumference as metabolically healthy, and those with waist circumference ≥90 cm (for men) and ≥85 cm (for women) as obese. The two-category obesity status and metabolic states are combined to generate four metabolic/obesity phenotypes. High sensitivity C reactive protein (hsCRP) was measured to assess underlying inflammation and homeostasis model assessment of insulin resistance (HOMA-IR) was calculated as surrogate measure of insulin resistance. Mixed-effect linear regression models and fixed-effect linear regression models were used to analyse the correlation between HOMA-IR, hsCRP and different metabolic/obesity phenotypes.

resultsIn cross-sectional analyses of 1113 individuals (mean [SD] age, 46.6 [12.9] years; 463 obese [41.6%]), 20.3% obese twins were metabolic healthy and 64.2% non-obese twins were metabolic unhealthy. Serum HOMA-IR level was higher in metabolically unhealthy non-obesity (MUNO) (β=0.42, 95% CI: 0.21-0.64), metabolically healthy obesity (MHO) (β=0.68, 95% CI: 0.36-1.00) and metabolically unhealthy obesity (MUO) (β=0.69, 95% CI: 0.46-0.91) twins, compared with their metabolically healthy non-obesity (MHNO) counterparts. HsCRP was similar between MHO and MUO, which differed significantly to metabolic healthy non-obesity (MHNO).

conclusionMHO and MUNO phenotypes were common in Chinese twin population. Both phenotypes were associated with elevated IR and hsCRP which may not be benign and need to be concerned.

Indexed as

chronic inflammationinsulin resistancemetabolic statustwin study

Identifiers

PMID33758523
PMCPMC7979357
OpenAlexW3138640798

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.