Evidence mapPaperPMID 41697752Full record

ArticleThe Journal of clinical investigation2026

Predicting checkpoint inhibitor-associated autoimmune diabetes: prospects and limitations.

Kevan C Herold, Ana Luisa Perdigoto

Abstract readComment
In one paragraph

Article in The Journal of clinical investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kevan C HeroldDepartment of Internal Medicine, and.
Ana Luisa PerdigotoDepartment of Internal Medicine, and.

Funding

Elucidating mechanisms of checkpoint inhibitor-induced diabetesK08CA282972 · YALE UNIVERSITY · 2025 to 2025
$174k
NCI NIH HHS K08 CA282972
6 · The paper itself

Abstract

Checkpoint inhibitor-associated autoimmune diabetes (CIADM) is a life-altering and potentially life-threatening complication of immune checkpoint inhibitor (ICI) treatment in patients with cancer. Risk factors and predictors of this complication remain largely unknown. In this issue of the JCI, Wu et al. examined serum and PBMCs from 14 ICI-treated patients who developed CIADM and 28 matched controls. They identified several variables that were present prior to ICI treatment, including reduced pancreatic volume, islet autoantibodies, and biomarkers indicating immune cell activation, that together are highly predictive of development of CIADM. These findings could have profound clinical implications including treatment decisions, monitoring, and potential future prevention strategies.

Indexed as

Diabetes Mellitus, Type 1Immune Checkpoint InhibitorsNeoplasmsAutoantibodiesHumansAutoantibodiesImmune Checkpoint Inhibitors

Identifiers

PMID41697752
PMCPMC12904721

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.