Prognostic role of ECOG performance status in patients with urothelial carcinoma of the upper urinary tract: an international study
Bibliographic record
Abstract
Study Type – Prognosis (inception cohort series) Level of Evidence 2a What's known on the subject? and What does the study add? ECOG Performance Status has gained wide popularity as an integral part of the assessment of patients with upper urinary tract carcinoma. Our findings indicate that ECOG‐PS is strongly associated with perioperative and overall survival and should be considered carefully in our decision‐making process. OBJECTIVE To evaluate the prognostic role of ECOG Performance status (ECOG‐PS) in a large multi‐institutional international cohort of patients treated with radical nephroureterectomy for upper tract urothelial carcinoma. MATERIALS AND METHODS Data of 427 patients treated with radical nephroureterectomy at five international institutions in Asia, Europe and Northern America were collected retrospectively from 1987 to 2008. Logistic and Cox regression models were used for univariable and multivariable analyses. RESULTS ECOG‐PS was 0 in 272 of 427 (64%) patients. The median follow‐up of the whole cohort was 32 months. The five‐year recurrence‐free (RFS), cancer‐specific (CSS) and overall (OS) survival estimates were 71.7%, 74.9% and 68.5%, respectively, in patients with ECOG‐PS 0 compared with 60.1%, 67.8%, and 51.4% respectively, in patients with ECOG‐PS ≥1 ( P value 0.08 for RFS, 0.43 for CSS, and <0.001 for OS, respectively). On multivariable Cox regression analyses, ECOG‐PS was not an independent predictor of either RFS (hazard ratio 1.4; P = 0.107) or CSS (hazard ratio 1.2; P = 0.426) but was an independent predictor of OS (hazard ratio 1.5; P = 0.03). CONCLUSIONS In this large multicentre international study, ECOG‐PS was not significantly associated with RFS and CSS. Conversely we find a strong association with survival 1‐month after surgery and OS. Further research is needed to ascertain the additive prognostic role of ECOG‐PS in well‐designed prospective multicentre studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".