Complications during neoadjuvant therapy and prognosis following surgery for esophageal cancer
Bibliographic record
Abstract
Previous researchers have focused upon the influence of postoperative complications upon prognosis from esophagectomy, with very little attention paid to the potential negative effects of complications during neoadjuvant therapy. The hypothesis under investigation in this study was that the prognosis after esophageal cancer surgery is negatively influenced by complications causing hospital admission during neoadjuvant therapy. Patients receiving neoadjuvant therapy and surgery for esophageal cancer between 1987 and 2010 were identified from a population-based nationwide Swedish cohort study and followed up until 2016. The association between hematological and nonhematological complications during neoadjuvant therapy and risk of short- and long-term mortality following surgery was analyzed using a multivariable Cox proportional hazards model, providing hazard ratios (HRs) with 95% confidence intervals (CIs). The HRs were adjusted for appropriate confounding variables.Among 587 patients, complications during neoadjuvant therapy requiring emergency hospitalization affected 65 (12%) patients. Hematological complications were associated with an increased 90-day overall mortality (HR = 5.60; 95% CI 1.27-24.75), particularly in subgroups of patients of tumor stage 0-II, adenocarcinoma, and radical and nonradical resection margins, and rendered increased 5-year disease-specific mortality specifically for esophageal adenocarcinoma (HR = 3.22; 95% CI 1.00-10.40). Occurrence of nonhematological complications was followed by an increase in 5-year mortality (HR = 2.35; 95% CI 1.15-4.81) in poor prognostic groups (tumor stage III-IV). There was no increased 5-year mortality following hematological or nonhematological complications in other subgroups of patients. Complications during neoadjuvant therapy may adversely impact short and long-term mortality in subgroups of patients with esophageal cancer receiving esophagectomy. Patient selection, optimization of neoadjuvant therapy, and timing of surgical resection, remain important areas for future development in the management of esophageal cancer.
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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 | 0.001 | 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".