The impact of surgical modality on self-reported body image, quality of life and survivorship after anterior resection for colorectal cancer – a mixed methods study
Bibliographic record
Abstract
Background: There is growing enthusiasm for robotic and transanal surgery as an alternative to open or laparoscopic surgery for colorectal cancer (CRC). We examined the impact of surgical modality on body image and quality of life (QOL) in patients receiving anterior resection for CRC. Methods: We used a mixed-methods approach, consisting of a chart review and semistructured interviews with CRC patients, at least 8 months after surgery. We assessed cosmetic outcomes and QOL using validated questionnaires. Results: Thirty patients were stratified into open (n = 8), laparoscopic (n = 12) and robotic (n = 10) groups. Mean body image scores were significantly higher (i.e., poorer body image) in patients receiving open surgery (mean difference [MD] +5.7 with laparoscopy, p < 0.001). Open surgery was more detrimental to physical function, including strenuous activities, prolonged ambulation and self-care (MD –11.6 with laparoscopy, p = 0.039). Patients receiving laparoscopic surgery reported superior role (MD +27.6 with open surgery, p = 0.002) and social function (MD +13.7 with open surgery, p = 0.042), including the ability to enjoy hobbies, family life and social activities. Surgical modality did not impact emotional and cognitive function or symptoms including genitourinary function, pain and defecation. Conclusion: The negative impact of open surgery on body image and physical function warrants further educational interventions for patients. The protective effect of laparoscopy on role and function may be associated with “tumour factors” that are unaccounted for in the European Organization for Research and Treatment of Cancer questionnaires. Open surgery is detrimental to body image and physical function in patients receiving anterior resection for CRC. Prospective randomized studies are required to validate these findings.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".