Evidence map›Paper›PMID 38497479›Full record

ArticleJournal of the American Heart Association2024

Incidence of Immune Checkpoint Inhibitor-Induced Myocarditis During the COVID-19 Pandemic.

Alexi Vasbinder, Elizabeth Anderson, Tonimarie Catalan, Anis Ismail, Mousumi Banerjee, Ian Pizzo, Kristen Machado, Pennelope Blakely, Joe-Elie Salem, Salim S Hayek

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 2 countries.

Alexi VasbinderDepartment of Internal Medicine, Division of Cardiology University of Michigan Ann Arbor MI USA.ORCID 0000-0002-1380-5364
Elizabeth AndersonDepartment of Internal Medicine, Division of Cardiology University of Michigan Ann Arbor MI USA.ORCID 0000-0001-6652-1544
Tonimarie CatalanDepartment of Internal Medicine, Division of Cardiology University of Michigan Ann Arbor MI USA.
Anis IsmailDepartment of Internal Medicine, Division of Cardiology University of Michigan Ann Arbor MI USA.ORCID 0000-0003-4144-0160
Mousumi BanerjeeDepartment of Biostatistics, School of Public Health University of Michigan Ann Arbor MI USA.ORCID 0000-0001-5901-822X
Ian PizzoDepartment of Internal Medicine, Division of Cardiology University of Michigan Ann Arbor MI USA.
Kristen MachadoDepartment of Internal Medicine, Division of Cardiology University of Michigan Ann Arbor MI USA.ORCID 0009-0007-2078-2117
Pennelope BlakelyDepartment of Internal Medicine, Division of Cardiology University of Michigan Ann Arbor MI USA.ORCID 0000-0002-9677-3010
Joe-Elie SalemDepartment of Pharmacology Sorbonne Université, INSERM, AP-HP, CIC-1901, Pitié-Salpêtrière Hospital Paris France.ORCID 0000-0002-0331-3307
Salim S HayekDepartment of Internal Medicine, Division of Cardiology University of Michigan Ann Arbor MI USA.ORCID 0000-0003-0180-349X
University of Michigan · USInserm · FR

Funding

TRAINING IN MOLECULAR AND CELLULAR CARDIOLOGYT32HL007853 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David J. Pinsky · 1996 to 2026
$11.6M
NHLBI NIH HHS T32 HL007853
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19MyocarditisHumansImmune Checkpoint InhibitorsIncidencePandemicsImmune Checkpoint Inhibitorscoronavirus diseaseCOVID‐19ICIimmune checkpoint inhibitorimmunotherapymyocarditis

Identifiers

PMID38497479
PMCPMC11010026
OpenAlexW4392913750

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.