Short‐term outcome after neoadjuvant high‐dose‐rate endorectal brachytherapy or short‐course external beam radiotherapy in resectable rectal cancer
Bibliographic record
Abstract
AIM: Total mesorectal excision with preoperative radiotherapy reduces local recurrence in rectal cancer, but radiotherapy increases the risk of complications. This study compared the immediate postoperative outcome after external beam radiotherapy with outome after high-dose-rate endorectal brachytherapy (HDREBT). METHOD: Patients (n = 318) treated with preoperative HDREBT (6.5 Gy, daily, over 4 days) followed by surgery 4-8 weeks later were matched with 318 patients from the Swedish Rectal Cancer Register treated with short-course radiotherapy (SCRT; 5 Gy, daily, over 5 days) and surgery in the subsequent week and with 318 patients who had surgery only (i.e. no preoperative radiotherapy; RT-) All 954 patients were followed for 30 days after surgery. Complications were divided into surgical, cardiovascular and infectious. RESULTS: The SCRT group had fewer cardiovascular complications (3.1%) than did HDREBT (9.4%, P = 0.002) and RT- (7.2%, P = 0.03) groups. There was less perioperative bleeding in HDREBT patients (379.3 ml) than in SCRT (947.2 ml; P < 0.0001) or RT- (918.9 ml) patients, and the re-intervention rate was lower in HDREBT (4.1%) patients than in SCRT (14.2%; P = 0.005) and RT- (12.3%; P < 0.005) patients. The HDREBT group had fewer R2 resections than did the SCRT and RT- groups, but had a higher proportion of R0 resections compared with the RT- group (P = 0.03). CONCLUSION: No major differences in postoperative complications were found. HDREBT patients had a higher rate of cardiovascular complications, but less perioperative bleeding and fewer re-interventions. A longer interval between radiotherapy and surgery may be beneficial for tumour regression and this could be reflected in the number of radical resections.
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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 | 0.001 |
| 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) | 0.001 | 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".