Transfusion as a predictor of recurrence and survival in head and neck cancer surgery patients.
Bibliographic record
Abstract
OBJECTIVE: There is mixed evidence regarding the association of perioperative blood transfusion to disease recurrence and mortality in head and neck cancer patients. Moreover, few investigations have examined the effects of leukocyte-depleted (leukodepleted) red cell transfusion. The presented study was undertaken to ascertain whether perioperative transfusion of leukodepleted blood is associated with recurrence and survival in head and neck cancer surgery patients. METHODS: The records of all patients having undergone head and neck surgery for malignant disease between October 1996 and October 2002 were reviewed. Hospital, blood bank, and cancer registry database records were reviewed and data were recorded onto a standardized computer spreadsheet. The primary outcome variable was the number of perioperatively transfused units of allogeneic leukodepleted blood. Multivariate analysis and Cox regression methods were employed. RESULTS: Five hundred twenty patients met the criteria for inclusion in the study. Recurrence and mortality rates were significantly different between transfusion and no-transfusion groups, in favour of the no-transfusion group. In addition to age, T stage, and N stage, multivariate analysis revealed leukodepleted blood transfusion to be an independent predictor of both recurrence (odds ratio 1.6) and survival (hazard ratio 1.5). CONCLUSION: Perioperative transfusion of leukodepleted blood is associated with higher recurrence rates and decreased survival in head and neck cancer surgery.
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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".