Pain Assessment during Conscious Sedation for Cervical Cancer High-Dose-Rate Brachytherapy
Bibliographic record
Abstract
BACKGROUND: This observational study set out to evaluate the effectiveness of conscious sedation anesthesia for pain control during high-dose-rate (hdr) brachytherapy using a ring-and-tandem applicator system for patients with cervical cancer. METHODS: At the time of initiation of the hdr cervical cancer brachytherapy program at our institution, patients received a detailed symptom assessment during the procedures. Brachytherapy was carried out using a Smit sleeve, together with a ring-and-tandem applicator. Midazolam and an opioid-hydromorphone, morphine, or fentanyl-were the main agents used to achieve conscious sedation. RESULTS: From January 2009 to October 2010, 20 patients (median age: 45 years) underwent 57 procedures. All patients received chemoradiation with curative intent. The median duration of the procedures was 1.4 hours, and no significant cardiovascular events were noted. The total dose of intravenous midazolam used ranged from 0.5 mg to 8.5 mg (median: 2.5 mg). The total dose of intravenous morphine equivalent used ranged from 2.5 mg to 60 mg (median: 8 mg). The mean and median pain scores during the procedures were 1.4 and 1.1 respectively. Brief moments of moderate to severe incidental pain were noted at the time of certain events during the procedure-specifically during insertion of the ring-and-tandem applicator. The maximal pain score during the entire procedure ranged from 0 to 10 (median: 4.7). The period of recovery from conscious sedation was relatively brief (median discharge time: 1 hour). CONCLUSIONS: We were able to demonstrate that patients undergoing hdr brachytherapy for cervical cancer can achieve good pain control with conscious sedation.
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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 | 0.001 | 0.004 |
| 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) | 0.000 | 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 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".