Evidence map›Paper›PMID 32303509›Full record

ArticleCancer discovery2020

Harnessing CAR T-cell Insights to Develop Treatments for Hyperinflammatory Responses in Patients with COVID-19.

Sangya Agarwal, Carl H June

Abstract read
In one paragraph

Article in Cancer discovery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Immunotherapy and CRISPR Cas Systems: Potential Cure of COVID-19?Drug design, development and therapy · 2022
    Review
  6. COVID-19 in patients with cancer: Risks and precautions.The American journal of emergency medicine · 2021
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Regen med therapeutic opportunities for fighting COVID-19.Stem cells translational medicine · 2021
    Article
  12. Review
  13. Review
  14. Review
  15. Immune Pathogenesis of COVID-19 Intoxication: Storm or Silence?Pharmaceuticals (Basel, Switzerland) · 2020
    Review
  16. Review
  17. IL-6: Relevance for immunopathology of SARS-CoV-2.Cytokine & growth factor reviews · 2020
    Review
  18. Review
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

2 authors.

Sangya AgarwalCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Parker Institute for Cancer Immunotherapy, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID https://orcid.org/0000-0003-4272-515X
Carl H JuneCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Parker Institute for Cancer Immunotherapy, University of Pennsylvania, Philadelphia, Pennsylvania. cjune@upenn.edu.ORCID https://orcid.org/0000-0003-0241-3557

Funding

IMMUNOTHERAPY WITH CAR T CELLSR01CA120409 · NCI · UNIVERSITY OF PENNSYLVANIA · PI JUNE, CARL H., ZHAO, YANGBING · 2006 to 2016
$2.7M
NCI NIH HHS R01 CA120409
6 · The paper itself

Abstract

Cytokine release and macrophage activation contribute to immunopathology after SARS-CoV-2 infection. We discuss approaches to decrease the morbidity and mortality in patients with COVID-19 by repurposing existing drugs previously developed for cancer therapy.

Indexed as

BetacoronavirusAnimalsCalcineurin InhibitorsCell- and Tissue-Based TherapyCoronavirus InfectionsCOVID-19CytokinesDrug RepositioningHumansImmunotherapyInflammationLymphohistiocytosis, HemophagocyticMacrophage ActivationMorbidityNeoplasmsPandemicsCalcineurin InhibitorsCytokinesReceptors, Antigen, T-Cell

Identifiers

PMID32303509
PMCPMC7249633

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.