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EFFICACY OF PREDNISONE FOR SEVERE REFRACTORY ULCERATIVE INTERSTITIAL CYSTITIS

2005· article· en· W2060248732 on OpenAlexaff
Frédéric Soucy, Mireille Grégoire

Bibliographic record

VenueThe Journal of Urology · 2005
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsHôtel-Dieu de Québec
Fundersnot available
KeywordsMedicinePrednisoneRefractory (planetary science)Interstitial cystitisProspective cohort studySurgeryInternal medicineGastroenterologyAnesthesiaUrinary system

Abstract

fetched live from OpenAlex

PURPOSE: We know that bladder inflammation has been noted in some patients with interstitial cystitis (IC). Studies with corticotherapy were performed about 50 years ago. Since that time few studies have been done with corticotherapy. We evaluated the efficacy of prednisone in patients with chronic severe IC with Hunner's ulcers unresponsive to first line therapies. MATERIALS AND METHODS: A prospective study was performed on 14 patients with evidence of ulcerative IC between 1998 and 2003. The patients received 25 mg of prednisone daily for 1 to 2 months and the dose was then tapered to the minimum required for relief of symptoms. Efficacy was evaluated with the O'Leary symptom and problem index and a 6-point pain scale. RESULTS: Of the 14 patients 9 (64%) were still using prednisone at the end of the study with an average followup of 16 months. In these 9 patients a 38% reduction (p <0.005) in the total score of the O'Leary index was observed. Pain was decreased by 88% (p = 0.0001). There were 5 patients who dropped out of the study due to lack of improvement or side effects. Overall results for the whole cohort included a reduction of 22% (p <0.02) of the total score of O'Leary index and a 69% improvement in pain control (p <0.001). CONCLUSIONS: These results suggest that a trial of prednisone should be considered in patients with severe ulcerative IC otherwise unresponsive to conventional treatment. Improvement in pain control was particularly impressive in this group of patients.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.028
GPT teacher head0.335
Teacher spread0.308 · 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 designNot applicable
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

Citations80
Published2005
Admission routes1
Has abstractyes

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