Evidence map›Paper›PMID 34462476›Full record

ArticleScientific reports2021

Myocarditis occurrence with cancer immunotherapy across indications in clinical trial and post-marketing data.

Tigran Makunts, Ila M Saunders, Isaac V Cohen, Mengxing Li, Talar Moumedjian, Masara A Issa, Keith Burkhart, Peter Lee, Sandip Pravin Patel, Ruben Abagyan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 7% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Article
  6. Diabetes and cancer: therapeutic implications.Cardio-oncology (London, England) · 2026
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  12. Review
  13. Cardio-Oncology and Breast Cancer Therapies.Current treatment options in oncology · 2025
    Review
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Review
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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

10 authors at 4 institutions in 1 country.

Tigran MakuntsOak Ridge Institute of Science and Education Fellowship at Office of Clinical Pharmacology, United States Food and Drug Administration, Silver Spring, MA, USA.
Ila M SaundersSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.
Isaac V CohenClinical Pharmacology and Therapeutics (CPT) Postdoctoral Training Program, University of California San Francisco, San Francisco, CA, USA.
Mengxing LiOak Ridge Institute of Science and Education Fellowship at Office of Clinical Pharmacology, United States Food and Drug Administration, Silver Spring, MA, USA.
Talar MoumedjianSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.
Masara A IssaSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.
Keith BurkhartCenter for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MA, USA.
Peter LeeCenter for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MA, USA.
Sandip Pravin PatelCenter for Personalized Cancer Therapy, Division of Hematology and Medical Oncology, UCSD Moores Cancer Center, La Jolla, CA, USA.
Ruben AbagyanSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA. rabagyan@health.ucsd.edu.
United States Food and Drug Administration · USUniversity of California, San Diego · USMoores Cancer CenterUniversity of California, San Francisco · US

Funding

Addressing biomedical challenges with computational mechanics and big dataR35GM131881 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ABAGYAN, RUBEN · 2019 to 2023
$1.9M
NIGMS NIH HHS R35 GM131881
6 · The paper itself

Abstract

Antibodies targeting the PD-1, PD-L1, and CTLA-4 immune checkpoint axis have been used in a variety of tumor types. They achieve anti-tumor activity through activating the patient's own immune system to target immune response evading cancer cells. However, this unique mechanism of action may cause immune-related adverse events, irAEs. One of these irAEs is myocarditis which is associated with an alarming mortality rate. In this study we presented clinical cases of myocarditis from safety trial datasets submitted to the U.S. Food and Drug Administration, FDA. Additionally, we analyzed over fourteen million FDA Adverse Event Reporting System, FAERS, submissions. The statistical analysis of the FAERS data provided evidence of significantly increased reporting of myocarditis in patients administered immune checkpoint inhibitors alone, in combination with another immune checkpoint inhibitor, the kinase inhibitor axitinib, or chemotherapy, for all cancer types, when compared to patients administered chemotherapy. All combination therapies led to further increased reporting odds ratios of myocarditis. We further analyzed the occurrence of myocarditis by stratifying the reports into sub-cohorts based on specific cancer types and treatment/control groups in major cancer immunotherapy efficacy trials and confirmed the observed trend for each cohort.

Indexed as

Adverse Drug Reaction Reporting SystemsAntineoplastic Agents, ImmunologicalData CollectionHumansImmune Checkpoint InhibitorsImmunotherapyMyocarditisNeoplasmsOdds RatioRetrospective StudiesUnited StatesUnited States Food and Drug AdministrationAntineoplastic Agents, ImmunologicalImmune Checkpoint Inhibitors

Identifiers

PMID34462476
PMCPMC8405813
OpenAlexW3198712270

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.