Evidence map›Paper›PMID 34652339›Full record

ReviewShock (Augusta, Ga.)2021

Cytokine Drizzle-The Rationale for Abandoning "Cytokine Storm".

Allan E Stolarski, Jiyoun Kim, Qiuyang Zhang, Daniel G Remick

Abstract readReview
In one paragraph

Review in Shock (Augusta, Ga.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Observational
  2. Review
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  13. Cytokine Storm-Definition, Causes, and Implications.International journal of molecular sciences · 2022
    Review
  14. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Allan E StolarskiDepartment of Surgery, Boston Medical Center, Boston University, Boston, Massachusetts.
Jiyoun KimDepartment of Pathology and Laboratory Medicine, Boston University, Boston, Massachusetts.
Qiuyang ZhangDepartment of Pathology and Laboratory Medicine, Boston University, Boston, Massachusetts.
Daniel G RemickDepartment of Pathology and Laboratory Medicine, Boston University, Boston, Massachusetts.
Boston University · US

Funding

Impact of Biological, Clinical, and Social Determinants on Trauma and Trauma OutcomesT32GM086308 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Alik Farber, Daniel G. Remick · 2010 to 2026
$3.5M
Role reversal of MAVS in bacterial sepsisR01HL141513 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BOSMANN, MARKUS · 2018 to 2022
$2.4M
Mechanisms of improved organ function following sepsis treatment with vitamin c, thiamine and hydrocortisone (triple therapy)R21AI147168 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI REMICK, DANIEL G. · 2020 to 2021
$454k
Mechanisms of augmented host defenses after mild brain injuryR01GM117519 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI REMICK, DANIEL G. · 2017 to 2017
$247k
NHLBI NIH HHS R01 HL141513NIAID NIH HHS R21 AI147168NIGMS NIH HHS R01 GM117519NIGMS NIH HHS T32 GM086308
6 · The paper itself

Abstract

background"Cytokine storm" has been used to implicate increased cytokine levels in the pathogenesis of serious clinical conditions. Similarities with Severe Acute Respiratory Syndrome Coronoavirus-2 (SARS CoV-2) and the 2012 Middle Eastern Respiratory Syndrome led early investigators to suspect a "cytokine storm" resulting in an unregulated inflammatory response associated with the significant morbidity and mortality induced by SARS CoV-2. The threshold of blood cytokines necessary to qualify as a "cytokine storm" has yet to be defined.

methodsA literature review was conducted to identify cytokine levels released during 11 assorted clinical conditions or diseases. Weighted averages for various cytokines were calculated by multiplying the number of patients in the paper by the average concentration of each cytokine. Correlation between cytokine levels for individual conditions or diseases were assessed using Pearson correlation coefficient.

resultsThe literature was reviewed to determine blood levels of cytokines in a wide variety of clinical conditions. These conditions ranged from exercise and autoimmune disease to septic shock and therapy with chimeric antigen receptor T cells. The most frequently measured cytokine was IL-6 which ranged from 24,123 pg/mL in septic shock to 11 pg/mL after exercise. In patients with severe SARS CoV-2 infections, blood levels of IL-6 were only 43 pg/mL, nearly three magnitudes lower than IL-6 levels in patients with septic shock. The clinical presentations of these different diseases do not correlate with blood levels of cytokines. Additionally, there is poor correlation between the concentrations of different cytokines among the different diseases. Specifically, blood levels of IL-6 did not correlate with levels of IL-8, IL-10, or TNF. Septic shock had the highest concentrations of cytokines, yet multiple cytokine inhibitors have failed to demonstrate improved outcomes in multiple clinical trials. Patients with autoimmune diseases have very low blood levels of cytokines (rheumatoid arthritis, IL-6 = 34 pg/mL; Crohn's disease, IL-6 = 5 pg/mL), yet respond dramatically to cytokine inhibitors.

conclusionThe misleading term "cytokine storm" implies increased blood levels of cytokines are responsible for a grave clinical condition. Not all inflammatory conditions resulting in worsened disease states are correlated with significantly elevated cytokine levels, despite an association with the term "cytokine storm". "Cytokine storm" should be removed from the medical lexicon since it does not reflect the mediators driving the disease nor does it predict which diseases will respond to cytokine inhibitors.

Indexed as

Cytokine Release SyndromeCoronavirus InfectionsCOVID-19CytokinesHumansInflammationInterleukin-6Receptors, Chimeric AntigenSARS-CoV-2Shock, SepticT-LymphocytesCytokinesInterleukin-6Receptors, Chimeric Antigen

Identifiers

PMID34652339
PMCPMC13459446
OpenAlexW3135342000

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.