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Record W7117163024 · doi:10.1159/000550197

A Case Series of SGLT2i Improving Hemoglobin in Adults with Myelodysplastic Syndrome

2025· article· en· W7117163024 on OpenAlexaff
Patricia Olar, Stephanie Lee, Michael Fralick

Bibliographic record

VenueActa Haematologica · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsSinai Health SystemPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsHemoglobinHemoglobin sSeries (stratigraphy)Red blood cellBlood transfusionMyelodysplastic syndromesHemoglobin variants

Abstract

fetched live from OpenAlex

INTRODUCTION: The objective of our case series was to assess the change in hemoglobin for adults with myelodysplastic syndrome (MDS) started on a sodium glucose cotransporter 2 inhibitor (SGLT2i) for their diabetes, heart failure, or chronic kidney disease. CASE PRESENTATION: Four patients with bone marrow biopsy confirmed low- or intermediate-risk MDS were referred for consideration of SGLT2i between July 2024 and December 2024. The patients were followed prospectively and had a repeat complete blood count at least 3 months after starting empagliflozin at 10 mg daily. The patients provided written consent for their results to be published. Median age was 78 years (range 76-82 years), 3 of the 4 patients were men, and the median baseline hemoglobin was 11.6 g/dL (IQR 9.3-12.8). Over a median duration of 4 months of taking empagliflozin, the median repeat hemoglobin was 12.8 g/dL (IQR 10.3-13.7). CONCLUSIONS: In our case series of 4 patients with MDS started on empagliflozin, we observed an increase in hemoglobin for all 4 patients. Larger studies are needed to assess whether the increase in hemoglobin is sufficiently robust and sustained to reduce a person's need for future red blood cell transfusion or other treatments for MDS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.600

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.258
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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