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A comparison of the relative merits of radical perineal and radical retropubic prostatectomy

2000· article· en· W2050468929 on OpenAlexafffund
Lorne D. Sullivan, Michael J. Weir, John Kinahan, D.L. Taylor

Bibliographic record

VenueBritish Journal of Urology · 2000
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsVancouver Hospital and Health Sciences CentreUniversity of British Columbia
FundersLotte and John Hecht Memorial Foundation
KeywordsMedicineRadical retropubic prostatectomyBlood lossProstatectomyAnalgesicIncidence (geometry)SurgeryUrologyQuality of life (healthcare)ProstateAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare the outcome, advantages and disadvantages of retropubic and perineal approach to radical prostatectomy, as performed by one surgeon. PATIENTS AND METHODS: This unrandomized study included 138 patients who underwent either radical retropubic (RRP) or radical perineal prostatectomy (RPP), based on the specific conditions or the patient's choice; 79 patients (mean age 64.6 years) underwent RPP and 59 (mean age 61.7 years) RRP. Outcome measures included estimated blood loss, the incidence of blood transfusions, positive margins and complications, operative duration, analgesic use, days in hospital and quality of life. RESULTS: There was no difference in operative duration, and the incidence of positive margins or complications between the groups. The mean estimated blood loss in the RPP and RRP groups was 415 and 1,138 mL, respectively. The RPP group stayed a mean of 2.2 days less in hospital and took 2.8 days less to regain a full diet than the RRP group; the RPP group needed 1.7 days before using oral analgesics and the RRP group 3.8 days. Of patients in both groups, 85% were pad-free at one year and their overall quality of life was similar. CONCLUSIONS: The results of RRP and RPP are comparable; the advantages of the perineal approach include minimal blood loss, low-intensity postoperative nursing care, low analgesic use and earlier discharge from hospital.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.288
Teacher spread0.274 · 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

Citations71
Published2000
Admission routes2
Has abstractyes

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