Evidence map›Paper›PMID 40193078›Full record

ArticleJAMA network open2025

Cytokine Storms in COVID-19, Hemophagocytic Lymphohistiocytosis, and CAR-T Therapy.

James P Long, Rishab Prakash, Paul Edelkamp, Mark Knafl, Anath C Lionel, Ranjit Nair, Sairah Ahmed, Paolo Strati, Luis E Malpica Castillo, Ajlan Al-Zaki and 14 more

Erratum issuedAbstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

James P LongDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston.
Rishab PrakashDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Paul EdelkampDepartment of Enterprise Data Engineering & Analytics, The University of Texas MD Anderson Cancer Center, Houston.
Mark KnaflDepartment of Enterprise Data Engineering & Analytics, The University of Texas MD Anderson Cancer Center, Houston.
Anath C LionelDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Ranjit NairDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Sairah AhmedDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Paolo StratiDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Luis E Malpica CastilloDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Ajlan Al-ZakiDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Kelly ChienDepartment of Leukemia, Division of Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Dai ChiharaDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Jason WestinDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Fareed KhawajaDepartment of Infectious Diseases, The University of Texas MD Anderson Cancer Center, Houston.
Loretta J NastoupilDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Victor MulanovichDepartment of Infectious Diseases, The University of Texas MD Anderson Cancer Center, Houston.
Andrew FutrealDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Scott E WoodmanDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Naval G DaverDepartment of Leukemia, Division of Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Christopher R FlowersDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Sattva NeelapuDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Joanna-Grace ManzanoDepartment of Hospital Medicine, Division of Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Swaminathan P IyerDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Data-Driven Determinants for COVID-19 Discovery Effort (D3CODE) Team

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Convalescent Plasma to Limit Coronavirus Associated ComplicationsUL1TR003167 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KARP, DANIEL D, MCPHERSON, DAVID D · 2019 to 2023
$45.3M
NCATS NIH HHS UL1 TR003167NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Importance: Cytokine storm (CS) is a hyperinflammatory syndrome causing multiorgan dysfunction and high mortality, especially in patients with malignant hematologic neoplasms. Triggers include malignant neoplasm-associated hemophagocytic lymphohistiocytosis (MN-HLH), cytokine release syndrome from chimeric antigen receptor T-cell therapy (CAR-T CRS), and COVID-19, but the underlying mechanisms of inflammation and their impact on outcomes are poorly understood. Objective: To delineate the inflammatory patterns characterizing different CS etiologies and their association with clinical outcomes. Design, Setting, and Participants: This retrospective cohort study was conducted at the MD Anderson Cancer Center in Houston, Texas, between March 1, 2020, and November 20, 2022, using the software-as-a-service Syntropy Foundry Platform. Participants were patients with malignant hematologic neoplasms who developed CS from COVID-19 (COVID-CS), MN-HLH, or CAR-T CRS. Exposure: Diagnostic criteria for COVID-CS were developed based on surging inflammatory markers (interleukin-6, C-reactive protein, and ferritin), while diagnosis of MN-HLH and CAR-T CRS followed established guidelines. Main Outcomes and Measures: The study compared cytokine levels, clinical characteristics, and survival outcomes across the 3 cohorts and focused on inflammatory markers, survival times, and key factors associated with survival identified through univariate and multivariable analyses. Results: A total of 671 patients met the inclusion criteria. Of those, 220 (33%) had CAR-T CRS, 227 (34%) had COVID-CS, and 224 (33%) had MN-HLH. Patients were predominantly male (435 [65%]), and 461 (69%) were White, with significant differences in median age (CAR-T CRS, 63 [IQR, 54-71] years; COVID-CS, 63 [IQR, 52-72] years; MN-HLH, 55 [IQR, 41-65] years; P < .001) as well as number of admission days and underlying cancer type across cohorts. Marked variations in cytokine levels and survival outcomes were observed, with the MN-HLH cohort exhibiting the highest levels of inflammatory markers (eg, median TNF-α, 105 pg/mL [IQR, 38-201 pg/mL] for MN-HLH vs 23 pg/mL [IQR, 17-42 pg/mL] for COVID-CS) and lowest fibrinogen and albumin levels. The cohort with CAR-T CRS showed substantially longer survival times compared with the cohort with COVID-CS (hazard ratio [HR], 2.93; 95% CI, 1.95-4.41) and the cohort with MN-HLH (HR, 8.12; 95% CI, 5.51-12.00). Clustering analysis showed overlapping patterns between COVID-CS and CAR-T CRS, while MN-HLH formed a distinct cluster. Conclusions and Relevance: This study of CS syndromes found distinct immune responses within each cohort. The distinct clinical patterns and outcomes associated with different CS etiologies emphasize the importance of early diagnosis and timely intervention.

Indexed as

COVID-19Cytokine Release SyndromeHematologic NeoplasmsImmunotherapy, AdoptiveLymphohistiocytosis, HemophagocyticAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2

Identifiers

PMID40193078
PMCPMC11976493

What Socratic 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 Socratic graph.