Evidence map›Paper›PMID 38116162›Full record

ArticleJCEM case reports2024

A Journey of Diagnosing a Case of Immune Checkpoint Inhibitor Pembrolizumab-Induced Diabetes Mellitus.

Michael Tang, Chanyanuch Nakapakorn, Shumei Meng

Open access · diamondAbstract readCase Reports
In one paragraph

Article in JCEM case reports, 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
0.2field-weighted citation impact, top 29% 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, 1 citations in OpenAlex.

  1. Article
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

3 authors at 2 institutions in 1 country.

Michael TangTexas A&M School of Medicine, Bryan, TX 77807, USA.ORCID https://orcid.org/0000-0001-6242-7569
Chanyanuch NakapakornTexas A&M School of Medicine, Bryan, TX 77807, USA.
Shumei MengTexas A&M School of Medicine, Bryan, TX 77807, USA.ORCID https://orcid.org/0000-0001-9601-384X
Bryan College · USBaylor University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune diabetes mellitus (DM) due to pembrolizumab is a rare but reported complication of immune checkpoint inhibitors (ICIs). It is often missed for a long initial period, leading to unnecessary admissions and poor glucose management. We report a case of a 72-year-old woman with prior history of gastrointestinal stromal tumor (GIST) and current diagnosis of squamous cell carcinoma (SCC) of the lung, who upon presentation at the emergency department with symptoms of encephalopathy, was diagnosed as having sodium glucose cotransporter 2 inhibitor (SGLT-2i)-induced diabetic ketoacidosis (DKA). Upon further investigation, we learned that this patient had multiple hospitalizations for recurrent DKA over 2 years after being managed on metformin and SGLT-2i. Biochemical testing helped confirm pembrolizumab-induced autoimmune diabetes with significantly elevated glutamic acid decarboxylase-65 (GAD65) autoantibodies and an undetectable C-peptide level. The patient has had clinical improvement with insulin therapy without further DKA episodes. She continued to be managed by outpatient endocrinology with improved glucose control. Altogether, this case demonstrates the importance of keeping a high vigilance for possible new onset of autoimmune endocrine diseases, such as diabetes, in patients treated with ICIs, to enable earlier diagnosis and prompt initiation of correct therapy.

Indexed as

autoimmune diabetesdiabetic ketoacidosisimmune checkpoint inhibitorspembrolizumab

Identifiers

PMID38116162
PMCPMC10729847
OpenAlexW4389935309

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.