Pelvic lymph node dissection for prostate cancer: Adherence and accuracy of the recent guidelines
Bibliographic record
Abstract
OBJECTIVES: The 2004 National Comprehensive Cancer Network practice guidelines recommend pelvic lymph node dissection at radical prostatectomy. We sought to examine the adherence to the 2004 National Comprehensive Cancer Network guidelines and to test the their accuracy, as well as the accuracy of the most contemporary National Comprehensive Cancer Network, American Urological Association, and European Association of Urology guidelines to predict lymph node metastases. METHODS: A total of 33 037 radical prostatectomy patients were identified, between 2004 and 2006. Adherence to the 2004 National Comprehensive Cancer Network guidelines was calculated using three clinically plausible cut-offs: 2, 5 and 10%. The accuracy was tested using the area under the curve. RESULTS: Overall, 63% of patients underwent pelvic lymph node dissection. Of those, 61, 49 and 45% were managed according to the 2004 National Comprehensive Cancer Network guideline cut-off of 2, 5 and 10%, respectively. The accuracy of all the examined guidelines ranged from 61% to 71%. The highest accuracy was recorded for the European Association of Urology and the 2004 National Comprehensive Cancer Network cut-off 5% guidelines. The lowest accuracy was recorded for the most contemporary National Comprehensive Cancer Network guideline. CONCLUSIONS: Adherence to the 2004 National Comprehensive Cancer Network guidelines was suboptimal. The accuracy of all the examined guidelines ranged from 61% to 71%. None of the examined guidelines can be regarded as an ideal indication for pelvic lymph node dissection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".