Evidence map›Paper›PMID 33095872›Full record

ArticleBlood advances2020

Diagnostic biomarkers to differentiate sepsis from cytokine release syndrome in critically ill children.

Caroline Diorio, Pamela A Shaw, Edward Pequignot, Alena Orlenko, Fang Chen, Richard Aplenc, David M Barrett, Hamid Bassiri, Edward Behrens, Amanda M DiNofia and 18 more

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 8% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  10. Serum cytokine panels in pediatric clinical practice.The Journal of allergy and clinical immunology · 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

28 authors at 6 institutions in 2 countries.

Caroline DiorioDivision of Hematology and Oncology, Children's Hospital of Philadelphia, Philadelphia, PA.
Pamela A ShawDepartment of Biostatistics, Epidemiology, and Informatics.
Edward PequignotCenter for Cellular Immunotherapies.
Alena OrlenkoDepartment of Biostatistics, Epidemiology, and Informatics.
Fang ChenCenter for Cellular Immunotherapies.
Richard AplencDivision of Hematology and Oncology, Children's Hospital of Philadelphia, Philadelphia, PA.
David M BarrettDivision of Hematology and Oncology, Children's Hospital of Philadelphia, Philadelphia, PA.
Hamid BassiriDivision of Infectious Diseases and.
Edward BehrensDepartment of Pediatrics.
Amanda M DiNofiaDivision of Hematology and Oncology, Children's Hospital of Philadelphia, Philadelphia, PA.
Vanessa GonzalezCenter for Cellular Immunotherapies.
Natalka KoterbaCenter for Cellular Immunotherapies.
Bruce L LevineDepartment of Biostatistics, Epidemiology, and Informatics.
Shannon L MaudeDivision of Hematology and Oncology, Children's Hospital of Philadelphia, Philadelphia, PA.
Nuala J MeyerDivision of Pulmonary and Critical Care Medicine, and.
Jason H MooreDepartment of Biostatistics, Epidemiology, and Informatics.
Michele PaesslerPathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
David L PorterAbramson Cancer Center, and.
Jenny L BushDivision of Critical Care Medicine and.
Don L SiegelCenter for Cellular Immunotherapies.
Megan M DavisCenter for Cellular Immunotherapies.
Donglan ZhangDivision of Critical Care Medicine and.
Carl H JuneCenter for Cellular Immunotherapies.
Stephan A GruppDivision of Hematology and Oncology, Children's Hospital of Philadelphia, Philadelphia, PA.
J Joseph MelenhorstCenter for Cellular Immunotherapies.
Simon F LaceyCenter for Cellular Immunotherapies.
Scott L WeissDivision of Critical Care Medicine and.
David T TeacheyDivision of Hematology and Oncology, Children's Hospital of Philadelphia, Philadelphia, PA.
Children's Hospital of Philadelphia · USAbramson Cancer CenterInstitute for Medical Informatics and Biostatistics · CHOffice of Infectious Diseases · USPulmonary and Critical Care Associates · USUniversity of Pennsylvania · US

Funding

Project 3: Combinatorial and gene-editing approaches to enhance the efficacy of CAR T cell therapy of multiple myeloma.P01CA214278 · NCI · UNIVERSITY OF PENNSYLVANIA · PI CARL H. JUNE · 2017 to 2026
$26.8M
Pediatric Critical Care Scientist Development ProgramK12HD047349 · NICHD · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI HEATHER T. KEENAN, Kevin M Watt · 2004 to 2026
$17.0M
Improving risk allocation and developing novel therapies for children with T-ALL and T-LLR01CA193776 · NCI · CHILDREN'S HOSP OF PHILADELPHIA · PI Terzah M Horton, ADAM B OLSHEN · 2015 to 2026
$6.2M
Biomedical Computing and Informatics Strategies for Infectious Disease ResearchR01AI116794 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI MOORE, JASON H. · 2016 to 2020
$2.9M
Mitochondrial Dysfunction in Pediatric SepsisK23GM110496 · NIGMS · CHILDREN'S HOSP OF PHILADELPHIA · PI WEISS, SCOTT L · 2015 to 2018
$723k
NCI NIH HHS P01 CA214278NCI NIH HHS R01 CA193776NIAID NIH HHS R01 AI116794NICHD NIH HHS K12 HD047349NIGMS NIH HHS K23 GM110496
6 · The paper itself

Abstract

Chimeric antigen receptor (CAR) T-cells directed against CD19 have drastically altered outcomes for children with relapsed and refractory acute lymphoblastic leukemia (r/r ALL). Pediatric patients with r/r ALL treated with CAR-T are at increased risk of both cytokine release syndrome (CRS) and sepsis. We sought to investigate the biologic differences between CRS and sepsis and to develop predictive models which could accurately differentiate CRS from sepsis at the time of critical illness. We identified 23 different cytokines that were significantly different between patients with sepsis and CRS. Using elastic net prediction modeling and tree classification, we identified cytokines that were able to classify subjects as having CRS or sepsis accurately. A markedly elevated interferon γ (IFNγ) or a mildly elevated IFNγ in combination with a low IL1β were associated with CRS. A normal to mildly elevated IFNγ in combination with an elevated IL1β was associated with sepsis. This combination of IFNγ and IL1β was able to categorize subjects as having CRS or sepsis with 97% accuracy. As CAR-T therapies become more common, these data provide important novel information to better manage potential associated toxicities.

Indexed as

Precursor Cell Lymphoblastic Leukemia-LymphomaSepsisChildCritical IllnessCytokine Release SyndromeHumansReceptors, Antigen, T-CellReceptors, Antigen, T-Cell

Identifiers

PMID33095872
PMCPMC7594400
OpenAlexW3094121937

What OpenQuestion holds

Textmetadata
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.