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Record W4232710668 · doi:10.14740/jmc3321

Hemorrhagic Cystitis With Low-Dose Cyclophosphamide Therapy for Breast Cancer: A Rare Occurrence

2019· article· en· W4232710668 on OpenAlexvenueno aff
Prashanth Ashok Kumar, Shweta Paulraj, Abirami Sivapiragasam

Bibliographic record

VenueJournal of Medical Cases · 2019
Typearticle
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemorrhagic cystitisCyclophosphamideDocetaxelMesnaBreast cancerAdverse effectInternal medicineOncologyCancerChemotherapyUrologyGross hematuriaSurgeryGastroenterologyIfosfamide

Abstract

fetched live from OpenAlex

Cyclophosphamide (CP) is known to cause hemorrhagic cystitis (HC), and this adverse effect is more commonly seen in patients receiving high individual doses used in the treatment of sarcomas and conditioning regimens during hematopoietic cell transplant. There are a few reported cases of HC in doses used for breast cancer. We report the case of a 63-year-old lady with stage IIA breast cancer who was started on adjuvant CP and docetaxel therapy at a dose of 600 mg/m 2 and 75 mg/m 2 respectively. She developed gross hematuria in less than 24 h after her first cycle and was found to have evidence suggestive of HC on cystoscopy done subsequently. She went on to complete three more cycles of adjuvant chemotherapy with CP and docetaxel with concurrent mesna and hydration. She did not develop any further episodes of hematuria. We review the literature pertaining to our case, and also compare the characteristics of the patient in our case with previously described cases of breast cancer who developed HC with low-dose CP. J Med Cases. 2019;10(6):179-182 doi: https://doi.org/10.14740/jmc3321

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.998

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)0.0020.000

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 head0.295
Teacher spread0.283 · 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.

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

Citations2
Published2019
Admission routes1
Has abstractyes

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