Evidence map›Paper›PMID 34088317›Full record

ArticleVirology journal2021

Specific cytokines in the inflammatory cytokine storm of patients with COVID-19-associated acute respiratory distress syndrome and extrapulmonary multiple-organ dysfunction.

Jiajia Wang, Xinjing Yang, Yongsheng Li, Jian-An Huang, Junhong Jiang, Nan Su

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 3 pooled it
5.1field-weighted citation impact, top 4% 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

66 citing papers in PubMed, 3 syntheses or guidelines pooled it, 107 citations in OpenAlex.

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  8. Cytokine storm in acute respiratory distress syndrome.Journal of intensive medicine · 2026
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6 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Jiajia Wang *Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Pinghai Road No. 899, Suzhou, 215000, China.
Xinjing Yang *Department of Emergency and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, 215000, China.
Yongsheng Li *Department of Intensive Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Jian-An HuangDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Pinghai Road No. 899, Suzhou, 215000, China.
Junhong JiangDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Pinghai Road No. 899, Suzhou, 215000, China. jiang20001969@163.com.
Nan SuDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Pinghai Road No. 899, Suzhou, 215000, China. 15850111090@139.com.ORCID 0000-0002-4564-1595
Soochow University · CNTongji Hospital · CN

Funding

National Foundation for Science and Technology Development No. 2017ZX10204401003National Natural Science Foundation of China NSFC82000023Suzhou Municipal Science and Technology Bureau No. KJXW2018008Suzhou Municipal Science and Technology Bureau SLT201917Suzhou Municipal Science and Technology Bureau SYS2019048Suzhou Municipal Science and Technology Bureau SYS2020008
6 · The paper itself

Abstract

backgroundTo date, specific cytokines associated with development of acute respiratory distress syndrome (ARDS) and extrapulmonary multiple organ dysfunction (MOD) in COVID-19 patients have not been systematically described. We determined the levels of inflammatory cytokines in patients with COVID-19 and their relationships with ARDS and extrapulmonary MOD.

methodsThe clinical and laboratory data of 94 COVID-19 patients with and without ARDS were analyzed. The levels of inflammatory cytokines (interleukin 6 [IL-6], IL-8, IL-10, and tumor necrosis factor α [TNF-α]) were measured on days 1, 3, and 5 following admission. Seventeen healthy volunteers were recruited as controls. Correlations in the levels of inflammatory cytokines with clinical and laboratory variables were analyzed, furthermore, we also explored the relationships of different cytokines with ARDS and extrapulmonary MOD.

resultsThe ARDS group had higher serum levels of all 4 inflammatory cytokines than the controls, and these levels steadily increased after admission. The ARDS group also had higher levels of IL-6, IL-8, and IL-10 than the non-ARDS group, and the levels of these cytokines correlated significantly with coagulation parameters and disseminated intravascular coagulation (DIC). The levels of IL-6 and TNF-α correlated with the levels of creatinine and urea nitrogen, and were also higher in ARDS patients with acute kidney injury (AKI). All 4 inflammatory cytokines had negative correlations with PaO

conclusionsThe cytokine storm apparently contributed to the development of ARDS and extrapulmonary MOD in COVID-19 patients. The levels of IL-6, IL-8, and IL-10 correlated with DIC, and the levels of IL-6 and TNF-α were associated with AKI. Relative to survivors, patients who died within 28 days had increased levels of IL-6 and IL-10.

Indexed as

Acute Kidney InjuryAgedBlood Urea NitrogenCOVID-19CreatinineCytokine Release SyndromeCytokinesDisseminated Intravascular CoagulationFemaleHumansInterleukin-10Interleukin-6Interleukin-8MaleRespiratory Distress SyndromeRetrospective StudiesCreatinineCXCL8 protein, humanCytokinesIL10 protein, humanIL6 protein, humanInterleukin-10Interleukin-6Interleukin-8Tumor Necrosis Factor-alphaAcute respiratory distress syndromeCOVID-19Disseminated intravascular coagulationInflammatory cytokineMultiple-organ dysfunctionSARS-CoV-2

Identifiers

PMID34088317
PMCPMC8177255
OpenAlexW3164600093

What OpenQuestion holds

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LicenceCC BY
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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.