Evidence map›Paper›PMID 35238899›Full record

ArticleDiabetes care2022

Immune Checkpoint Inhibitors and Risk of Type 1 Diabetes.

Xuan Chen, Alison H Affinati, Yungchun Lee, Adina F Turcu, Norah Lynn Henry, Elena Schiopu, Angel Qin, Megan Othus, Dan Clauw, Nithya Ramnath and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

54 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
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  3. Diabetes and cancer: glucose control impact on survival and tumor outcomes.Reviews in endocrine & metabolic disorders · 2026
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  12. Multiple or Single Endocrine Abnormalities Associated With Immune Checkpoint Inhibitors.The Journal of clinical endocrinology and metabolism · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Xuan ChenDepartment of Biostatistics, University of Michigan, Ann Arbor, MI.
Alison H AffinatiDivision of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI.
Yungchun LeeDepartment of Biostatistics, University of Michigan, Ann Arbor, MI.
Adina F TurcuDivision of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI.
Norah Lynn HenryDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI.
Elena SchiopuDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI.
Angel QinDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI.
Megan OthusBiostatistics and Biomathematics Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Ann Arbor, MI.
Dan ClauwDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI.
Nithya RamnathDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI.
Lili ZhaoDepartment of Biostatistics, University of Michigan, Ann Arbor, MI.ORCID 0000-0002-6366-8206
University of Michigan · USFred Hutch Cancer Center · US

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Eric R. Fearon · 1988 to 2026
$178.2M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
NCI NIH HHS P30 CA046592NIDDK NIH HHS P30 DK020572
6 · The paper itself

Abstract

objectiveType 1 diabetes mellitus (T1DM) is a rare, irreversible immune-related adverse event reported in patients receiving treatment with immune checkpoint inhibitors (ICI). However, clinical risk factors for ICI-induced T1DM (ICI-T1DM) and its impact on survival in patients remain unknown. RESEARCH DESIGN AND

methodsWe used Optum's Clinformatics Data Mart database for assessment of the incidence and characteristics of T1DM in a large de-identified cohort of patients treated with ICI between 2017 and 2020. We applied Fine-Gray and cause-specific hazard models to study associations between patient/treatment characteristics and ICI-T1DM and applied the Cox model with ICI-T1DM as a time-varying covariate to assess the impact of ICI-T1DM on survival.

resultsICI-T1DM was observed in 261 of 30,337 (0.86%) patients. Dual use of antibodies to cytotoxic T lymphocyte antigen 4 (CTLA-4) and programmed cell death 1 (PD-1) or programmed cell death ligand 1 (PD-L1) was associated with increasing risk of ICI-T1DM (hazard ratio [HR] 1.62; 95% CI 1.15-2.26) vs. anti-PD-L1 or anti-PD-1 alone. Younger age (HR 1.19 for every 5-year decrease; 95% CI 1.13-1.25) and preexisting non-T1DM diabetes (HR 4.48; 95% CI 3.45-5.83) were also associated with higher risk of ICI-T1DM. Conversely, prior use of immunosuppressive medications (HR 0.57; 95% CI 0.34-0.95) was associated with lower incidence of ICI-T1DM, but part of its protective effect may be due to the increased mortality rate. Development of ICI-T1DM does not seem to significantly impact patient survival.

conclusionsThe risk of ICI-T1DM is associated with the type of ICI therapy, patient age, and preexisting non-T1DM diabetes. These data may help guide risk assessment and screening practices for patients during ICI therapy.

Indexed as

Diabetes Mellitus, Type 1Immune Checkpoint InhibitorsCohort StudiesHumansRetrospective StudiesImmune Checkpoint Inhibitors

Identifiers

PMID35238899
PMCPMC9174959
OpenAlexW4214883428

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.