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Record W2755235721 · doi:10.1111/bju.14016

Guideline of guidelines: asymptomatic microscopic haematuria

2017· review· en· W2755235721 on OpenAlexaboutno aff
Brian J. Linder, Edward Bass, Hugh Mostafid, Stephen A. Boorjian

Bibliographic record

VenueBritish Journal of Urology · 2017
Typereview
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUrine cytologyGuidelineCystoscopyAsymptomaticGynecologyUrinary systemGeneral surgerySurgeryInternal medicinePathology

Abstract

fetched live from OpenAlex

The aim of the present study was to review major organizational guidelines on the evaluation and management of asymptomatic microscopic haematuria (AMH). We reviewed the haematuria guidelines from: the American Urological Association; the consensus statement by the Canadian Urological Association, Canadian Urologic Oncology Group and Bladder Cancer Canada; the American College of Physicians; the Joint Consensus Statement of the Renal Association and British Association of Urological Surgeons; and the National Institute for Health and Care Excellence. All guidelines reviewed recommend evaluation for AMH in the absence of potential benign aetiologies, with the evaluation including cystoscopy and upper urinary tract imaging. Existing guidelines vary in their definition of AMH (role of urine dipstick vs urine microscopy), the age threshold for recommending evaluation, and the optimal imaging method (computed tomography vs ultrasonography). Of the reviewed guidelines, none recommended the use of urine cytology or urine markers during the initial AMH evaluation. Patients should have ongoing follow-up after a negative initial AMH evaluation. Significant variation exists among current guidelines for AMH with respect to who should be evaluated and in what manner. Given the patient and health system implications of balancing appropriately focused and effective diagnostic evaluation, AMH represents a valuable future research opportunity.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.949
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.101
GPT teacher head0.424
Teacher spread0.323 · 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 designOther design
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

Citations98
Published2017
Admission routes1
Has abstractyes

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