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Record W1973957093 · doi:10.1016/s0022-5347(05)64678-2

Does the Potassium Stimulation Test Predict Cystometric, Cystoscopic Outcome in Interstitial Cystitis?

2002· article· en· W1973957093 on OpenAlexaff
Mireille Grégoire, Frédéric Liandier, Alain Naud, Louis Lacombe, Yves Fradet

Bibliographic record

VenueThe Journal of Urology · 2002
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsHôtel-Dieu de Québec
Fundersnot available
KeywordsInterstitial cystitisStimulationMedicineTest (biology)UrologyPotassiumInternal medicineChemistryUrinary systemBiology

Abstract

fetched live from OpenAlex

PURPOSE: We establish the relationship among symptom duration, cystometric and cystoscopic findings and potassium stimulation test in patients with interstitial cystitis. MATERIALS AND METHODS: A retrospective chart review was performed of 189 patients treated at an ambulatory clinic between 1992 and 1998. Urodynamic parameters, potassium stimulation test results and subjective response to treatment were evaluated. Fisher's exact test was used for statistical analysis. RESULTS: Of the 189 patients diagnosed with interstitial cystitis 173 (92%) were female and 16 (8%) were male. The potassium stimulation test was positive in 105 (83%) patients, negative in 16 (13%) and equivocal in 6 (4%). A cystometrogram and potassium stimulation test were done in 118 patients. Bladder capacity averaged 259 ml. in patients with tests potassium positive and negative, while average bladder volume at first sensation to void was 85 ml. and 148 ml. in those with negative and positive tests, respectively. Among the 102 patients with a positive potassium stimulation test 52 had normal cystoscopic findings. CONCLUSIONS: The potassium stimulation test is not correlated with either bladder capacity or cystoscopic findings.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.317
Teacher spread0.282 · 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

Citations65
Published2002
Admission routes1
Has abstractyes

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