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Record W2884776328 · doi:10.1097/spc.0000000000000375

A contemporary review about the management of radiation-induced hemorrhagic cystitis

2018· review· en· W2884776328 on OpenAlexaff
A. Dautruche, Guila Delouya

Bibliographic record

VenueCurrent Opinion in Supportive and Palliative Care · 2018
Typereview
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineHemorrhagic cystitisFulgurationClinical trialIntensive care medicineRadiation therapySurgeryChemotherapyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: There are various specific therapeutic intervention available to treat hemorrhagic cystitis, once emergency treatment has been carried out. The lack of prospective studies, because of the relative rarity of this condition, makes it difficult to hierarchize the therapeutic sequence. The present review presents and summarizes the literature published on radiation-induced hemorrhagic cystitis from April 2015, date of a precedent exhaustive review, to March 2018. RECENT FINDINGS: During our period of interest, 13 clinical studies and two new clinical trials protocols were published. Most of the clinical studies were retrospective and presented data about hyperbaric oxygen (HBO) therapy, comforting its place as a well tolerated and effective first-line treatment. Other studies reported the outcomes of treatments with alum, formalin, silver nitrate, fulguration with laser or definitive surgery. SUMMARY: Although authors seem to agree that formalin and surgery have their role as effective but potentially morbid last-line treatments, there is no consensus on primary approach to management of radiation-induced hemorrhagic cystitis beyond symptomatic measures. Several treatments have proven excellent response rates and few side effects. The results of on-going prospective studies on mesenchymal stromal cells or tacrolimus instillations are awaited, but the main discriminating factor to choose between treatments remains local availability.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.679
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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 head0.184
GPT teacher head0.449
Teacher spread0.264 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations18
Published2018
Admission routes1
Has abstractyes

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