Evidence map›Paper›PMID 37803908›Full record

ArticleJournal of diabetes investigation2024

High sensitivity C-reactive protein and prediabetes progression and regression in middle-aged and older adults: A prospective cohort study.

Zi-Jian Cheng, Yan-Fei Wang, Xi-Yuan Jiang, Wen-Yan Ren, Shu-Feng Lei, Fei-Yan Deng, Long-Fei Wu

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2024. 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
2.8field-weighted citation impact, top 9% 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, 13 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

7 authors at 2 institutions in 1 country.

Zi-Jian Cheng *Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China.
Yan-Fei Wang *Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, China.
Xi-Yuan Jiang *Center of Osteoporosis, Kunshan Hospital of Traditional Chinese Medicine, Kunshan, Jiangsu, China.
Wen-Yan RenCambridge-Suda Genomic Resource Center, Jiangsu Key Laboratory of Neuropsychiatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, China.
Shu-Feng LeiCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China.
Fei-Yan DengCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China.
Long-Fei WuCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China.ORCID https://orcid.org/0000-0003-3594-3853
Soochow University · CNShanghai University of Traditional Chinese Medicine · CN

Funding

Basic public health service project of Jiangsu Province JC103National Natural Science Foundation of China 31701273Science and Technology Project of Suzhou SYS2018023Science and Technology Project of Suzhou SYS2019024
6 · The paper itself

Abstract

backgroundThis study aimed to investigate the effect of systemic inflammation, assessed by high sensitivity C-reactive protein (hs-CRP) levels, on prediabetes progression and regression in middle-aged and older adults based on the China Health and Retirement Longitudinal Study (CHARLS).

methodsParticipants with prediabetes from CHARLS were followed up 4 years later with blood samples collected for measuring fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c). The level of hs-CRP was assessed at baseline and categorized into tertiles (low, middle, and high groups). Prediabetes at baseline and follow-up was defined primarily according to the American Diabetes Association (ADA) criteria. Logistic regression models were used to estimate the odds ratios (ORs) and confidence intervals (CIs). We also performed stratified analyses according to age, gender, BMI, the presence of hypertension, and the disease history of heart disease and dyslipidemia and sensitivity analyses excluding a subset of participants with incomplete data.

resultsOf the 2,874 prediabetes included at baseline, 834 participants remained as having prediabetes, 146 progressed to diabetes, and 1,894 regressed to normoglycemia based on ADA criteria with a 4 year follow-up. After multivariate logistics regression analysis, prediabetes with middle (0.67-1.62 mg/L) and high (>1.62 mg/L) hs-CRP levels had an increased incidence of progressing to diabetes compared with prediabetes with low hs-CRP levels (<0.67 mg/L; OR = 1.846, 95%CI: 1.129-3.018; and OR = 1.632, 95%CI: 0.985-2.703, respectively), and the incidence of regressing to normoglycemia decreased (OR = 0.793, 95%CI: 0.645-0.975; and OR = 0.769, 95%CI: 0.623-0.978, respectively). Stratified analyses and sensitivity analyses showed consistent results.

conclusionsLow levels of hs-CRP are associated with a high incidence of regression from prediabetes to normoglycemia and reduced odds of progression to diabetes.

Indexed as

Prediabetic StateAgedBlood GlucoseC-Reactive ProteinHumansLongitudinal StudiesMiddle AgedProspective StudiesRisk FactorsBlood GlucoseC-Reactive Proteinhs-CRPPrediabetes progressionPrediabetes regression

Identifiers

PMID37803908
PMCPMC10759715
OpenAlexW4387420826

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.