Evidence map›Paper›PMID 33067641›Full record

SynthesisImmunogenetics2020

Elevated interleukin-6 and adverse outcomes in COVID-19 patients: a meta-analysis based on adjusted effect estimates.

Peihua Zhang, Li Shi, Jie Xu, Yadong Wang, Haiyan Yang

Abstract readMeta-Analysis
In one paragraph

Synthesis in Immunogenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Kidney involvement and anemia in COVID-19 infection.World journal of nephrology · 2025
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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

5 authors.

Peihua ZhangDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
Li ShiDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
Jie XuDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
Yadong WangDepartment of Toxicology, Henan Center for Disease Control and Prevention, Zhengzhou, 450016, China.
Haiyan YangDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China. yhy@zzu.edu.cn.ORCID 0000-0002-1797-304X

Funding

National Natural Science Foundation of China 81973105
6 · The paper itself

Abstract

This study aimed to evaluate the association of interleukin-6 (IL-6) level with the poor outcomes in coronavirus disease 2019 (COVID-19) patients by utilizing a meta-analysis based on adjusted effect estimates. We searched the keywords from PubMed, Web of Science, and EMBASE on August 14, 2020. The pooled effects and 95% confidence interval (95% CI) were estimated by Stata 11.2. Subgroup analysis and meta-regression were performed to explore the source of heterogeneity. Sensitivity analysis was implemented to assess the stability of the results. Begg's test and Egger's test were conducted to assess the publication bias. Sixteen articles with 8752 COVID-19 patients were finally included in the meta-analysis. The results based on random-effects model indicated that elevated value of IL-6 was significantly associated with adverse outcomes in patients with COVID-19 (pooled effect = 1.21, 95% CI 1.13-1.31, I

Indexed as

BetacoronavirusBiomarkersCoronavirus InfectionsCOVID-19HumansInterleukin-6PandemicsPneumonia, ViralPrognosisRisk FactorsSARS-CoV-2BiomarkersIL6 protein, humanInterleukin-6Adjusted effect estimatesAdverse outcomesCOVID-19IL-6Meta-analysis

Identifiers

PMID33067641
PMCPMC7567652

What OpenQuestion holds

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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.