The management of dysphagia in esophageal cancer patients undergoing neoadjuvant chemotherapy: Is invasive tube feeding required?
Bibliographic record
Abstract
9613 Background: The dysphagia commonly associated with esophageal cancer often interferes with patient tolerance of neo-adjuvant chemotherapy. Surgical or endoscopic invasive tube feeding (ITF - gastroscopy/jejunostomy/stent) is a commonly employed strategy to maintain nutritional support however it can cause significant morbidity in its own right. We sought to determine if a strategy of careful dietary counseling and appropriately-timed neoadjuvant chemotherapy can obviate the need for ITF. Methods: Pts undergoing neoadjuvant chemotherapy (TAX/CDDP/5FU Q3 weeks x3) for esophageal or GEJ adenocarcinoma at a single institution from 3/07–7/08 were identified from a prospective database. All received dietary counseling and were closely monitored for signs/ symptoms of malnutrition with serial (baseline, after 1st cycle, pre-surgery) Body Mass Index (BMI), albumin, dysphagia scores (0 best - 4 worse), and quality of life (FACT-E). We assessed the response of dysphagia and nutritional status to neoadjuvant treatment and the need for ITF. Data presented as median (range) or mean (±SD), paired t-test or Wilcoxon signed ranks test determined significance. Results: 25 pts received neoadjuvant chemotherapy and significant dysphagia (score 2–4) was found in 14. Dysphagia scores improved in all 14 (all results in Table 1 ), and 10/13 improved after the first cycle. No patient required ITF. QoL as assessed by the FACT-E improved in 13/14 patients. A small decrease in BMI was noted, however serum albumin did not significantly decrease. Conclusions: Appropriately timed neoadjuvant chemotherapy with a highly effective regimen rapidly restores normal swallowing, maintains nutritional status, and obviates the need for ITF in patients with significant dysphagia from esophageal adenocarcinoma. [Table: see text] No significant financial relationships to disclose.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".