Comparative study of endometrial resection and eletrocoagulation in patients with abnormal uterine bleeding
Bibliographic record
Abstract
Purpose of the study. Compare the results of two techniques of endometrial ablation first generation. Type of study. Prospective, longitudinal and analytical study (Canadian Task Force II-2). The study site. Tertiary public hospital, university teaching center. Patients and methods. During the period October 2011 to September 2013, 73 patients with a history of abnormal uterine bleeding (AUB) and poor response to medical treatment for a minimum period of 12 months, were randomized and underwent endometrial ablation with monopolar resection electrode handle U followed by rollerball electrocoagulation with the group a (36 patients) with rollerball electrocoagulation only in group B (37 patients). The women were followed for an average period of 359 days (280;751) and 370 days (305;766), respectively. Interventions. The patients were submitted to endometrial ablation technique according to each group. Ratings at 30, 90, 180 and 360 days were accomplished through research protocol, which sought to assess the pattern of bleeding, associated symptoms, failure rate and satisfaction rate. Results. The groups were homogeneous clinical and epidemiologically (P ≥ 0.05). Surgical time and the volume of distension medium used were lower in group B patients [mean of 48.5 (±12.0) vs. 31.9 (±5.6) minutes; P < 0.001 and 5.700 mL vs. 3.500 mL; P < 0.01]. There was a significant improvement in clinical symptoms after endometrial ablation in both groups, reducing the number of bleeding days (P < 0.01), as well as the number of pads used on the day of the flow rate (P < 0.01) and throughout the menstrual cycle (P < 0.01). There was also a lower incidence of surgical site infection in group B (30.5% vs. 8.1%; P < 0.05). The hysterectomy rate observed in the study was 9.6%, due to technical difficulties and intraoperative hemorrhage, persistence of SUA, development of incapacitating dysmenorrhea and / or pelvic pain ...
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".