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Record W2904799439 · doi:10.1016/j.ajur.2018.12.005

Does urodynamics predict voiding after benign prostatic hyperplasia surgery in patients with detrusor underactivity?

2018· article· en· W2904799439 on OpenAlexaff
Dominique Thomas, Kevin C. Zorn, Nadir Zaidi, Stephanie Ashley Chen, Yiye Zhang, Alexis E. Te, Bilal Chughtai

Bibliographic record

VenueAsian journal of urology · 2018
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineUrinary retentionUrologyHyperplasiaBladder outlet obstructionProstateUrinationPerioperativeInternational Prostate Symptom ScoreResidual volumeLower urinary tract symptomsUrinary systemSurgeryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: We sought to determine if urodynamic study (UDS) predicted voiding outcomes in men with detrusor underactivity (DU) and benign prostatic enlargement (BPE) who underwent photovaporization of the prostate (PVP). METHODS: ), and postvoid residual (PVR). RESULTS: = 0.344) in those who did not void. No UDS parameter predicted who would void postoperatively or improvements in QoL. CONCLUSIONS: The patients with DU and BPE might be able to successfully void after undergoing PVP regardless of UDS findings. All men who voided had improved international prostate symptom score and QoL scores compared to baseline and these parameters were durable up to 12 months.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.246
Teacher spread0.239 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations15
Published2018
Admission routes1
Has abstractyes

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