Evidence map›Paper›PMID 42751081›Full record

ArticleJCEM case reports2026

Managing capivasertib-induced hyperglycemia: a report of 3 cases.

Katherine Cuan, Sun Young Oh, Jovan Milosavljevic, Beatrice Y Wong

Abstract readCase Reports
In one paragraph

Article in JCEM case reports, 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

4 authors.

Katherine CuanDivision of Endocrinology, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10467, USA.ORCID https://orcid.org/0009-0002-4438-1047
Sun Young OhDivision of Hematology and Oncology, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10467, USA.ORCID https://orcid.org/0009-0005-3197-9180
Jovan MilosavljevicDivision of Endocrinology, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10467, USA.ORCID https://orcid.org/0009-0007-7064-1873
Beatrice Y WongDivision of Endocrinology, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10467, USA.ORCID https://orcid.org/0009-0008-3472-8389

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phosphoinositide 3-kinase/protein kinase B (AKT) pathway inhibition is an important therapeutic strategy for hormone receptor positive and human epidermal growth factor receptor 2 negative advanced breast cancer. Capivasertib, an oral pan-AKT inhibitor, improves progression-free survival in combination with fulvestrant but is frequently associated with hyperglycemia. Despite this recognized adverse effect, consensus management guidelines are lacking. We describe 3 patients who developed capivasertib-associated hyperglycemia, 2 of whom had severe hyperglycemia with alpelisib therapy, a phosphoinositide 3-kinase inhibitor. Hyperglycemia developed early and was marked by postprandial excursions. All patients were treated with insulin-sensitizing therapies. Preemptive initiation or intensification of antihyperglycemic therapy before capivasertib exposure attenuated hyperglycemia severity. These cases highlight the insulin-resistant phenotype of AKT inhibitor-associated hyperglycemia and support early metabolic assessment, postprandial glucose monitoring, and preferential use of insulin-sensitizing therapies to minimize treatment interruption.

Indexed as

AKT inhibitorcapivasertibinsulin resistance

Identifiers

PMID42751081
PMCPMC13579042

What OpenQuestion 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 OpenQuestion graph.