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Record W2084352017 · doi:10.4081/aiua.2014.2.126

Painful bladder syndrome/interstitial cystitis: Aetiology, evaluation and management

2014· review· en· W2084352017 on OpenAlexaff
William Rourke, Shahid Khan, Kamran Ahmed, Shikohe Masood, Prokar Dasgupta, Muhammad Shamim Khan

Bibliographic record

VenueArchivio Italiano di Urologia e Andrologia · 2014
Typereview
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsSurrey Memorial Hospital
FundersMedical Research CouncilNational Institute for Health and Care Research
KeywordsInterstitial cystitisEtiologyMedicineBladder Pain SyndromePelvic painLower urinary tract symptomsUrinary systemAbdominal painUrologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Interstitial cystitis or bladder pain syndrome (BPS) is often a chronic debilitating condition characterised by predominantly storage symptoms and associated frequently with pelvic pain that varies with bladder filling. The aetiology is uncertain as the condition occurs in the absence of a urinary tract infection or other obvious pathology. Resulting discomfort may vary and ranges from abdominal tenderness to intense bladder spasms. Diagnosis and management of this syndrome may be difficult and is often made by its typical cystoscopic features. This review discusses the diagnosis and management of interstitial cystitis according to the current available best evidence and advises a multimodal approach in its management.

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)0.000
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 score0.964
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.049
GPT teacher head0.366
Teacher spread0.317 · 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

Citations26
Published2014
Admission routes1
Has abstractyes

Explore more

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