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Record W2129708808 · doi:10.1093/ndtplus/sfn014

Interstitial cystitis: an enigmatic disorder of unclear aetiology

2008· editorial· en· W2129708808 on OpenAlexaff
D.-A. Moutzouris, Harissios Vliagoftis, Matthew E. Falagas

Bibliographic record

VenueClinical Kidney Journal · 2008
Typeeditorial
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsInterstitial cystitisMedicineBladder Pain SyndromeEthnic groupEtiologyMetabolic syndromeInternal medicineGynecologyObesityUrinary system

Abstract

fetched live from OpenAlex

In 1990, the National Institute for Diabetes and Diseases of the Kidney (NIDDK) recommended the use of criteria for IC diagnosis [1] (Table 1). These criteria were soon recognized to be useful for scientific purposes but to be strict for clinical practice [2]. The International Continence Society (ICS) proposed the term ‘Painful Bladder Syndrome’ [3] (PBS). It was defined as the syndrome consisting of ‘suprapubic pain related to bladder filling accompanied by other symptoms, such as increased daytime and nighttime frequency in the absence of proven infection or other obvious pathology’ [3]. Using a similar definition, the European Society for the Study of Interstitial Cystitis (ESSIC) proposed the term ‘Bladder Pain Syndrome’ (BPS) [4]. Due to multiple definitions and diagnostic criteria used, the prevalence of IC varies widely throughout the world. This variation may also reflect racial/ethnic differences. Older series report the prevalence of IC much lower than recent studies (18.1/100 000 women and 10.6/100 000 men and women [5], 52–197/100 000 women [6,7] and 40– 70/100 000 men [6,7], respectively). Using self-report of a previous IC diagnosis, the prevalence was much higher (865/100 000 women and 501/100 000 men and women)

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)0.002
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.006
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 head0.046
GPT teacher head0.435
Teacher spread0.389 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations3
Published2008
Admission routes1
Has abstractyes

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