Evidence map›Paper›PMID 39891279›Full record

ArticleDiabetology & metabolic syndrome2025

Association between the C-reactive protein-albumin-lymphocyte index and metabolic syndrome: evidence from the 2003-2010 national health and nutrition examination survey.

Lanlan Wu, Dunzheng Han, Yuting Xue, Shangfei He, Zhuang Ma, Shuwen Su, Peixin Li, Shenrong Liu, Haobin Zhou

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

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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.

Lanlan Wu *Department of Cardiology, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510120, China.
Dunzheng Han *Department of Cardiology, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510120, China.
Yuting XueDepartment of Cardiology, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510120, China.
Shangfei HeDepartment of Cardiology, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510120, China.
Zhuang MaDepartment of Cardiology, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510120, China.
Shuwen SuDepartment of Cardiology, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510120, China.
Peixin LiDepartment of Cardiology, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510120, China.
Shenrong LiuDepartment of Cardiology, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510120, China. 2022390056@gzhmu.edu.cn.
Haobin ZhouDepartment of Cardiology, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510120, China. zhouhaobin021@163.com.

Funding

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China 82100263
6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) is a global public health problem that significantly impacts human health and quality of life. The relationship between MetS and the C-reactive protein-albumin-lymphocyte (CALLY) index is uncertain.

methodsThis study analyzed the data of 7,534 individuals from the National Health and Nutrition Examination Survey cycles (2003-2010 cycles). Weighted logistic regression and weighted restricted cubic spline (RCS) curve analyses were used to identify the relationships between the CALLY index and MetS, as well as its components.

resultsOf the 7,534 participants, 2,086 were diagnosed with MetS. The estimated prevalence of MetS decreased with an increase in the CALLY index (P < 0.001). Multivariable logistic regression analysis showed that the odds ratio of MetS was 0.25 (95% confidence interval 0.20-0.32, P < 0.001) in the highest CALLY index quartile compared with the lowest quartile after adjusting for confounding variables. The RCS curve analysis revealed non-linear relationships between the CALLY index and MetS or its components.

conclusionsThis study revealed an inverse relationship between the CALLY index and MetS risk. The CALLY index might be valuable for identifying individuals who are at a high risk of MetS. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

C-reactive protein–albumin–lymphocyte indexMetabolic syndrome

Identifiers

PMID39891279
PMCPMC11783767

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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.