Evidence map›Paper›PMID 42384047›Full record

ArticleDiabetes care2026

Clinical and Biochemical Recovery From Immune Checkpoint Inhibitor-Induced Diabetes With Seroconversion of GAD Antibodies.

Lillian Ruiheng Chen, Tim Cooksley, Rupinder Kochhar, Ezhil Jothi Titus Raj, Paul Lorigan, Safwaan Adam

Abstract readCase Reports
In one paragraph

Article in Diabetes care, 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

6 authors.

Lillian Ruiheng ChenThe Christie NHS Foundation Trust, Manchester, U.K.ORCID 0009-0008-7983-1865
Tim CooksleyThe Christie NHS Foundation Trust, Manchester, U.K.
Rupinder KochharFaculty of Biology, Medicine and Health, University of Manchester, Manchester, U.K.
Ezhil Jothi Titus RajThe Christie NHS Foundation Trust, Manchester, U.K.
Paul LoriganThe Christie NHS Foundation Trust, Manchester, U.K.
Safwaan AdamThe Christie NHS Foundation Trust, Manchester, U.K.

Funding

Cedars Cancer Foundation of the McGill University Health CentreManchester Biomedical Research Centre NIHR203308
6 · The paper itself

Abstract

objectiveImmune checkpoint inhibitors (ICIs) improve outcomes across multiple cancers but may cause immune-related adverse events, including ICI-induced diabetes (ICI-D). ICI-D typically presents abruptly with severe insulin deficiency, and published cases have largely described irreversible loss of endogenous insulin secretion. RESEARCH DESIGN AND

methodsWe report a novel case of clinical and biochemical recovery of ICI-D.

resultsFollowing melanoma treatment with ipilimumab plus nivolumab, then nivolumab monotherapy, the patient developed abrupt-onset symptomatic hyperglycemia with mild ketosis and positive GAD and insulin autoantibodies, consistent with ICI-D. The patient subsequently received infliximab for ICI-related arthritis. Insulin requirements progressively declined, allowing discontinuation of insulin therapy. GAD antibodies normalized within ∼2 months and later became undetectable. Urine C-peptide-to-creatinine ratios increased over time, consistent with endogenous insulin secretion.

conclusionsRecovery from ICI-D may occur. The temporal association suggests infliximab may have contributed, warranting further study as a potential disease-modifying therapy.

Indexed as

AutoantibodiesDiabetes MellitusGlutamate DecarboxylaseImmune Checkpoint InhibitorsFemaleHumansInsulinIpilimumabMelanomaMiddle AgedNivolumabSeroconversionAutoantibodiesGlutamate DecarboxylaseImmune Checkpoint InhibitorsInsulinIpilimumabNivolumab

Identifiers

PMID42384047
PMCPMC13493335

What OpenQuestion holds

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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.