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Radical prostatectomy in obese patients: Improved surgical outcomes in recent years

2010· article· en· W1579059460 on OpenAlexaff
Uri Lindner, Nathan Lawrentschuk, Robert Abouassaly, Neil Fleshner, John Trachtenberg

Bibliographic record

VenueInternational Journal of Urology · 2010
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineProstatectomyBiochemical recurrenceBody mass indexOverweightPerioperativeProstate cancerHazard ratioObesityUrologySurgical marginSurgeryInternal medicineCancerConfidence interval

Abstract

fetched live from OpenAlex

OBJECTIVES: Obesity has been proposed as a risk factor for reduced disease-specific survival, increased positive surgical margin (PSM) and biochemical recurrence (BCR) after radical prostatectomy (RP) in patients with prostate cancer. The aim of this study was to clarify the relationship between obesity and surgical outcomes in patients undergoing RP. METHODS: Medical records of 491 patients who underwent RP from 2004 to 2007 were retrieved from our institutional database. Patients were divided into three groups based on their body mass index (BMI): <25, 25-30 (overweight) and >30 kg/m (obese). Outcomes after RP were compared between the groups in terms of length of stay, perioperative complications, BCR, PSM and Gleason scores. RESULTS: Age, stage and preoperative prostate-specific antigen were similar between BMI categories. Operating time was prolonged in obese patients (146 vs 135 min, P = 0.01) and blood loss was greater (mean estimated blood loss 640 vs 504 mL, P = 0.02), but did not translate into higher transfusion rates. Early complication rates, PSM rates and Gleason scores were not statistically different between the groups. Significant differences in late outcomes, such as the need for adjunct procedures or BCR (hazard ratio 0.44, 95% CI 0.18-1.09), were not shown. CONCLUSION: As surgical experience with high BMI patients has developed, RP appears to be a well tolerated procedure in contemporary series, irrespective of BMI. In particular, early outcome parameters, such as PSM and BCR rates, are similar.

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 score0.040
Threshold uncertainty score0.253

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.008
GPT teacher head0.299
Teacher spread0.291 · 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

Citations16
Published2010
Admission routes1
Has abstractyes

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