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Record W1973043873 · doi:10.1001/jama.2014.5555

Does This Man With Lower Urinary Tract Symptoms Have Bladder Outlet Obstruction?

2014· review· en· W1973043873 on OpenAlexaff
Karen A. D’Silva, Philipp Dahm, Camilla L. Wong

Bibliographic record

VenueJAMA · 2014
Typereview
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedicineBladder outlet obstructionLower urinary tract symptomsCochrane LibraryUrodynamic testingUrinary systemMEDLINEMeta-analysisUrinary catheterizationUrologyUrinary bladder neck obstructionCINAHLUrinary bladderSystematic reviewCatheterUrinary bladder diseaseSurgeryInternal medicinePsychological intervention

Abstract

fetched live from OpenAlex

IMPORTANCE: Early, accurate diagnosis of bladder outlet obstruction in men with lower urinary tract symptoms may reduce the need for invasive testing (ie, catheter placement, urodynamics), and prompt early treatment to provide symptomatic relief and avoid complications. OBJECTIVES: To systematically review the evidence on (1) the diagnostic accuracy of office-based tests for bladder outlet obstruction in men with lower urinary tract symptoms; and (2) the accuracy of the bladder scan as a measure of urine volume because management decisions rely on measuring postvoid bladder residual volumes. DATA SOURCES AND STUDY SELECTION: MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials (1950-March 2014), along with reference lists from retrieved articles were searched to identify studies of diagnostic test accuracy among males with lower urinary tract symptoms due to bladder outlet obstruction. MEDLINE, EMBASE, CINAHL, and the Cochrane Library (1950-March 2014) were searched to identify studies of urine volumes measured with a bladder scanner vs those measured with bladder catheterization. Prospective studies were selected if they compared 1 or more office-based, noninvasive diagnostic test with the reference test or were invasive urodynamic studies, and if urine volumes were measured with a bladder scanner and bladder catheterization. DATA EXTRACTION AND SYNTHESIS: For the bladder outlet obstruction objective, 8628 unique citations were identified. Ten studies (1262 patients among 9 unique cohorts) met inclusion criteria. For the bladder scan objective, 2254 unique citations were identified. Twenty studies (n = 1397 patients) met inclusion criteria. MAIN OUTCOMES AND MEASURES: The first main outcome and measure was the diagnostic accuracy of individual symptoms and questionnaires compared with the reference standard (urodynamic studies) for the diagnosis of bladder outlet obstruction in males with lower urinary tract symptoms. The second was the correlation between urine volumes measured with a bladder scanner and those measured with bladder catheterization. RESULTS: Among males with lower urinary tract symptoms, the likelihood ratios (LRs) of individual symptoms and questionnaires for diagnosing bladder outlet obstruction from the highest quality studies had 95% CIs that included 1.0, suggesting they are not significantly associated with one another. An International Prostate Symptom Score cutoff of 20 or greater increased the likelihood of bladder outlet obstruction (positive LR, 1.5; 95% CI, 1.1-2.0), whereas scores of less than 20 had an LR that included 1.0 in the 95% CI (negative LR, 0.82; 95% CI, 0.67-1.00). We found no data on the accuracy of physical examination findings to predict bladder outlet obstruction. Urine volumes measured by a bladder scanner correlated highly with urine volumes measured by bladder catheterization (summary correlation coefficient, 0.93; 95% CI, 0.91-0.95). CONCLUSIONS AND RELEVANCE: In patients with lower urinary tract symptoms, the symptoms alone are not enough to adequately diagnose bladder outlet obstruction. A bladder scan for urine volume should be performed to assess patients with suspected large postvoid residual volumes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.028
GPT teacher head0.337
Teacher spread0.310 · 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
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

Citations72
Published2014
Admission routes1
Has abstractyes

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