Evidence map›Paper›PMID 38750443›Full record

SynthesisBMC cardiovascular disorders2024

Meta-analysis of the association between interleukin-17 and ischemic cardiovascular disease.

Yu Miao, Tao Yan, Jia Liu, Chunfa Zhang, Jinli Yan, Lei Xu, Nan Zhang, Xingguang Zhang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

8 authors.

Yu Miao *Department of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia Province, 010000, China.
Tao Yan *Department of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia Province, 010000, China.
Jia LiuDepartment of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia Province, 010000, China.
Chunfa ZhangDepartment of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia Province, 010000, China.
Jinli YanDepartment of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia Province, 010000, China.
Lei XuDepartment of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia Province, 010000, China.
Nan ZhangDepartment of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia Province, 010000, China. 17704713193@163.com.
Xingguang ZhangDepartment of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia Province, 010000, China. zxg311@126.com.

Funding

Inner Mongolia Autonomous Region Health Commission [A class project ] 202201268Inner Mongolia Medical University YKD2022MS079Inner Mongolia Medical University discipline construction project YKD2023XK015Natural Science Foundation project of Inner Mongolia Autonomous Region 2023QN08030the Discipline Construction Project of Inner Mongolia Medical University YKD2022XK012the General Project of Inner Mongolia Medical University YKD2021MS001the Inner Mongolia Health Science and Technology Project 202201227the Inner Mongolia Medical University doctoral program YKD2020BSJJ017the Inner Mongolia Medical University program YKD2021MS044, YKD2022MS011the National Natural Science Foundation of China 82160639the Program for Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region NJYT22008the Project of National Health Commission 202202123, 202202148the Scientific and Technological Innovative Research Team for Inner Mongolia Medical University of Study on Molecular Epidemiology and Prevention of Cardiovascular Diseases YKD2022TD015
6 · The paper itself

Abstract

backgroundInterleukin-17 (IL-17) has been hypothesized to be involved in ischemic cardiovascular disease (ICVD). However, the association of IL-17 with ICVD remained unclear. The aim of this study was to systematically analyze the available evidence regarding the association between IL-17 and ICVD.

methodsWe searched the PubMed, Web of Science, Cochrane Library, and Embase databases up to October 2023 to identify publications on the association between IL-17 and ICVD. The merged results were analyzed using a random effects model for meta-analysis and subgroup analysis.

resultsA total of 955 publications were initially identified in our search and screened; six studies were eventually included in the analysis. The average age of study participants was 60.3 ± 12.6 years and 65.5% were men. There was a high degree of heterogeneity among studies. The results showed that IL-17 level were higher in the case group than those in the control group (standardized mean difference, SMD = 1.60, 95% confidence interval (95% CI): 0.53-2.66, P = 0.003). In sensitivity analysis, the merged results showed good robustness. Additionally, subgroup analysis showed that race and ethnicity, sample size, and detection methods were significant factors influencing heterogeneity in the published studies.

conclusionOur finding revealed that increased IL-17 level contributed to the development of ICVD, suggesting IL-17 as a potential risk marker. Further research is needed to establish IL-17 as a therapeutic biomarker of ICVD.

Indexed as

BiomarkersInterleukin-17Myocardial IschemiaAgedFemaleHumansMaleMiddle AgedPrognosisRisk AssessmentRisk FactorsUp-RegulationBiomarkersInterleukin-17Interleukin 17Ischemic cardiovascular diseaseMeta-analysis

Identifiers

PMID38750443
PMCPMC11097571

What OpenQuestion holds

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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.