Worsened long-term outcomes and postoperative complications in octogenarians with lung cancer following mediastinal lymph-node dissection
Bibliographic record
Abstract
We evaluated the effects of mediastinal lymph-node dissection on outcomes in octogenarians with primary lung cancer. Outcomes and postoperative complications were retrospectively investigated in 48 octogenarians with anatomically resected lung cancer, of whom 23 underwent a mediastinal lymph-node dissection (ND2 group) and 25 a limited lymphadenectomy (ND0-1 group). Forty-three patients underwent a lobectomy, two a pneumonectomy, and three a segmentectomy. The five-year survival rate for all was 35%, while that for those in pathological stage I was 43.3% and for those in stage II+III was 21.2%. As for lymph node dissection, the five-year survival rate for the ND0-1 group (54.3%) was superior to that for the ND2 group (21.7%) (P=0.022). For patients in pathological stage I, those rated ND0-1 had a better five-year survival than those rated ND2 (61.9% vs. 28.6%) (P=0.041). In addition, mediastinal lymph-node dissection increased the incidence of postoperative cardiac complications (P=0.004). Our results indicate that major pulmonary resection with mediastinal lymph-node dissection is associated with a higher rate of mortality in octogenarians with lung cancer.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".