Evidence map›Paper›PMID 41112950›Full record

ArticleAdvances in hematology2025

SGLT2 Inhibitor-Associated Euglycemic Diabetic Ketoacidosis (EDKA) in Hematologic Malignancy Patients: A Case Series.

Andrew Artz, Tiffany Nguyen, Raynald Samoa, Hoim Kim, Wyndie Tse, Rami Jin, Svetlana Goutnik

Abstract read
In one paragraph

Article in Advances in hematology, 2025. 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
–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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Andrew ArtzCity of Hope, Duarte, California, USA.
Tiffany NguyenCity of Hope, Duarte, California, USA.ORCID https://orcid.org/0009-0002-6252-3344
Raynald SamoaCity of Hope, Duarte, California, USA.
Hoim KimCity of Hope, Duarte, California, USA.
Wyndie TseCity of Hope, Duarte, California, USA.
Rami JinCity of Hope, Duarte, California, USA.
Svetlana GoutnikCity of Hope, Duarte, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sodium-glucose Cotransporter 2 inhibitors (SGLT2i) are widely used and effective pharmacotherapeutic options that are first-line therapy for Type 2 diabetes mellitus (T2DM) and congestive heart failure. A major adverse effect of SGLT2i usage is diabetic ketoacidosis (DKA). SGLT2i-induced DKA commonly presents as euglycemic DKA (EDKA). The safety of empagliflozin in cancer patients is not well established. High intensity treatment of hematologic malignancy poses a unique set of risk factors for EDKA. Four cases of empagliflozin-associated EDKA in hematologic malignancy patients were identified through pharmacy adverse event reporting at a cancer research hospital. All patients were euglycemic except one patient who required CRS/ICANS treatment with dexamethasone, causing steroid-induced hyperglycemia. All four patients had weight loss due to reasons including, but not limited to, reduced oral intake, diarrhea, nausea, and pain. Infections and/or neutropenic fever were also commonalities throughout the four patients. In all patients, DKA contributed to iatrogenic ICU admissions and prolonged hospital stays. SGLT2i use in hematologic malignancy patients may increase the risk of DKA due to high risk of anorexia, weight loss, and infections, all highly associated with intensive treatment that can disrupt the availability and sensitivity to insulin. In patients receiving SGLT2i, clinicians should be aware of risk factors for DKA as well as potential euglycemic presentation to ensure close clinical and laboratory monitoring to facilitate rapid diagnosis and treatment of DKA.

Indexed as

euglycemic DKAhematologySGLT2 inhibitor

Identifiers

PMID41112950
PMCPMC12530474

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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.