Evidence map›Paper›PMID 36345040›Full record

ArticleDiabetology & metabolic syndrome2022

Association between rheumatoid factor and metabolic syndrome in general population.

Lan Li, Donglai Feng, Jing Zeng, Peng Ye, Yao Chen, Dong Wei

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetology & metabolic syndrome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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

6 authors at 1 institution in 1 country.

Lan LiMedical Examination Center, The Second People's Hospital of Chengdu, Chengdu, 610017, China.
Donglai FengMedical Examination Center, The Second People's Hospital of Chengdu, Chengdu, 610017, China.
Jing ZengDepartment of Endocrinology and Metabolism, Obesity and Metabolic Diseases Care Center, The Second People's Hospital of Chengdu, Chengdu, 610017, China.
Peng YeDepartment of Endocrinology and Metabolism, Obesity and Metabolic Diseases Care Center, The Second People's Hospital of Chengdu, Chengdu, 610017, China.
Yao ChenDepartment of Endocrinology and Metabolism, Obesity and Metabolic Diseases Care Center, The Second People's Hospital of Chengdu, Chengdu, 610017, China.
Dong WeiDepartment of Endocrinology and Metabolism, Obesity and Metabolic Diseases Care Center, The Second People's Hospital of Chengdu, Chengdu, 610017, China. weidong3.14@163.com.
Chengdu Second People's Hospital · CN

Funding

Medical Scientific Research Project of Sichuan Medical Association S21039Science and Technology Project of the Health Planning Committee of Sichuan Province 20PJ201
6 · The paper itself

Abstract

backgroundRheumatoid arthritis, metabolic syndrome (MS) and cardiovascular disease (CVD) are mutually connected. We aim to investigate the association between rheumatoid factor (RF) and MS in general population, explore the potential value of RF for assessment of metabolic status, and further provide a reference to the establishment of CVD primary prevention for this population.

methodsWe assessed the health check-up subjects, accordance with the inclusive criteria, from 1 January 2015 to 31 October 2021 in a large refereed general hospital, in this retrospective study. Subjects were categorized into four groups according to their levels of RF. Multivariate logistic regression models along with the Odds ratio (OR) and Confidence interval (CI) values were used to measure the association between RF and MS.

resultsA total of 13,690 subjects were analyzed. Prevalence of MS increased with RF level (P for trend < 0.001). Logistic regression analysis showed that, after adjusting for multiple covariates, RF level was significantly associated with MS prevalence (highest RF quartile: OR, 1.420; 95% CI 1.275,1.581, according to the revised National Cholesterol Education Program Adult Treatment Panel III criteria; OR, 2.355; 95% CI 2.085,2.660, according to the International Diabetes Federation criteria) (both P for trends < 0.001). Among the MS components, there were evidence of increasing trends for overweight/obesity (highest RF quartile: OR, 3.165; 95% CI 2.827,3.543) and hypertension (highest RF quartile: OR, 1.722; 95% CI 1.549,1.914) (both P for trends < 0.001), but decreasing trend for low high-density lipoprotein-cholesterol (highest RF quartile: OR, 0.245; 95% CI 0.214,0.281) (P for trend < 0.001), with increasing RF quartiles.

conclusionsRF level is associated with MS prevalence in general population. RF might be a valuable biomarker for assessment of metabolic status in this population. We should be aware of the cardiovascular risk for the higher-RF subjects.

Indexed as

General populationMetabolic syndromeRheumatoid factor

Identifiers

PMID36345040
PMCPMC9641854
OpenAlexW4308553490

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.