Evidence map›Paper›PMID 39234043›Full record

ArticleFrontiers in medicine2024

Association between the inflammatory burden index and rheumatoid arthritis and its all-cause mortality: data from NHANES 1999-2018.

Jiali Zhai, Bo Yuan, Tiebing Liu, Linfei Mo, Yajie Xie, Yi Zhao, Shuai Cao, Liesu Meng

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

8 authors.

Jiali ZhaiDepartment of Biochemistry and Molecular Biology, Institute of Molecular and Translational Medicine (IMTM), Xi'an Jiaotong University Health Science Center, Xi'an, China.
Bo YuanDepartment of Orthopedics, Civil Aviation General Hospital, Beijing, China.
Tiebing LiuCivil Aviation Public Health Emergency Management Office, Civil Aviation Medicine Center, Civil Aviation Administration of China, Civil Aviation General Hospital, Beijing, China.
Linfei MoDepartment of Rheumatology and Immunology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yajie XieDepartment of Biochemistry and Molecular Biology, Institute of Molecular and Translational Medicine (IMTM), Xi'an Jiaotong University Health Science Center, Xi'an, China.
Yi ZhaoDepartment of Rheumatology and Immunology, and Clinical Institute of Inflammation and Immunology, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Shuai CaoDepartment of Orthopedics, Civil Aviation General Hospital, Beijing, China.
Liesu MengDepartment of Biochemistry and Molecular Biology, Institute of Molecular and Translational Medicine (IMTM), Xi'an Jiaotong University Health Science Center, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Rheumatoid arthritis (RA) is a prevalent chronic autoimmune disease characterized by chronic inflammation. The Inflammatory Burden Index (IBI) is a newly proposed comprehensive inflammation index used to assess systemic inflammation. The relationship between IBI and RA, as well as its all-cause mortality, remains unclear. The objective of this study was to examine the correlation between IBI and RA and to analyze the association between IBI and all-cause mortality in RA. Methods: The study comprehensively analyzes adult data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018. The participants' IBI was calculated using the formula IBI = CRP * neutrophils/lymphocytes. Three models were constructed to investigate the relationship between IBI and the prevalence of RA. Nonlinear relationships were determined using restricted cubic spline curves. Stratified analyses and interaction tests were used to explore the relationship between RA and IBI in different subgroups. The same data analyses were applied to investigate the association between IBI and RA all-cause mortality. Results: The data analyses revealed a stable positive and nonlinear correlation between IBI and the risk of RA, as well as a positive, nonlinear, J-shaped association between IBI and RA all-cause mortality. The correlation and association were consistent across most subgroups, and multiple covariates had no effect on the results. No significant effect of multiple covariates on the association was found through interaction tests. Conclusion: Our study has demonstrated a positive correlation between the prevalence of RA and all-cause mortality with the IBI index. This suggests that lower levels of inflammation in the body are associated with a reduced risk of RA prevalence and all-cause mortality. Further prospective studies are required to explore the mechanisms involved.

Indexed as

all-cause mortalityinflammatory burden indexnational health and nutrition examination surveynon-linearrheumatoid arthritis

Identifiers

PMID39234043
PMCPMC11371669

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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.