Quality of life: A critical outcome for all surgical treatments of gastric cancer
Bibliographic record
Abstract
Surgery represents the main curative therapeutic modality for gastric cancer, and it is occasionally considered for palliation as well as prophylaxis. Most frequently, surgical outcomes are conveyed in terms of oncological outcomes such as recurrence and survival. However, quality of life (QoL) is also important and should be considered when making treatment decisions - including the extent of and approach to surgery. Measurement of QoL usually involves the application of questionnaires. While there are multiple QoL questionnaires validated for use in oncology patients, there are very few that have been validated for use in those with gastric cancer. In this review, we discuss and compare the current status of QoL questionnaires in gastric cancer. More importantly, the impact of surgery for treatment, palliation and prophylaxis of gastric cancer on QoL will be described. These data should inform the surgeon on the optimal approach to treating gastric cancer, taking into account oncological outcomes. Knowledge gaps are also identified, providing a roadmap for future studies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 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".