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Record W4407894373 · doi:10.7759/cureus.79534

Life-Threatening Haemorrhagic Enterocolitis: A Rare Complication of Chemotherapy With Cyclophosphamide

2025· article· en· W4407894373 on OpenAlexaff
Gousmahammad Myageri, Ajith Kumar Ak, Abhijith Bale, GC Yathish, Venkatesha Gupta KV

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldMedicine
TopicLymphatic Disorders and Treatments
Canadian institutionsASTER
Fundersnot available
KeywordsMedicineComplicationCyclophosphamideChemotherapyEnterocolitisSurgeryInternal medicineIntensive care medicinePediatrics

Abstract

fetched live from OpenAlex

Cyclophosphamide (CPA) is a commonly used alkylating agent with its use extending from chemotherapy to immunosuppression. Herein, we present a case of a 61-year-old lady diagnosed with Sjögren's syndrome one year ago, who recently started on CPA therapy and presented to ICU with the sudden onset of bloody diarrhoea and shock, requiring fluid resuscitation and vasopressor support. An extensive evaluation, including stool routine analysis, cultures, stool BioFire® FilmArray® (gastrointestinal panel) (BioFire Diagnostics, LLC, Salt Lake City, USA), contrast-enhanced CT (CECT) of the abdomen, colonoscopy, and biopsy, ruled out infectious, inflammatory, ischemic, and malignant causes. After discontinuation of CPA and supportive therapy, her clinical condition improved, and she was discharged. Haemorrhagic cystitis, myelosuppression, gonadal toxicity and interstitial pneumonia are well-known side effects of CPA. Haemorrhagic enterocolitis is a rare adverse effect of CPA therapy. Through this case report, we aim to highlight that haemorrhagic enterocolitis can be a potentially life-threatening adverse effect of CPA, a drug widely used in rheumatological and oncological conditions. Increased awareness among treating physicians can help in early suspicion and appropriate management, including prompt discontinuation of the drug and consideration of alternative treatment options.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.010
GPT teacher head0.271
Teacher spread0.261 · 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 designObservational
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

Citations1
Published2025
Admission routes1
Has abstractyes

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