Measures of patient safety in developing and emerging countries: a review of the literature
Bibliographic record
Abstract
Objective This study aims to compare the feasibility, safety, and efficacy of laparoendoscopic single-site (LESS) surgical staging for early-stage endometrial cancer with conventional laparoscopic surgical staging. Materials and Methods The prospective study group consisted of 37 consecutive patients who underwent LESS surgical staging including hysterectomy, bilateral salpingo-oophorectomy, and pelvic lymph node dissection. The historical control group consisted of 74 consecutive patients who underwent 4-port laparoscopic surgical staging including hysterectomy, bilateral salpingo-oophorectomy, and pelvic lymph node dissection. Surgical outcomes were compared between the 2 groups. Results No patient in the LESS or conventional laparoscopic surgery group required an additional trocar or conversion to laparotomy. There were no intergroup differences in mean age, menopause status, body mass index, and previous history of abdominal surgery. Further, there were no inter-group differences in the number of total (LESS vs. conventional, 25.9 ± 10.6 vs. 24.6 ± 9.0, P = 0.497), pelvic (24.6 ± 0.497 vs. 23.3 ± 7.7, P = 0.459), and para-aortic (4.9 ± 2.5 vs. 6.9 ± 7.3, P = 0.494) lymph nodes retrieved; the operating time (183 ± 50 min vs. 173 ± 106, P = 0.388); estimated blood loss (194 ± 149 mL vs. 173 ± 106 mL, P = 0.394); number of patients requiring transfusion (5.4% vs. 8.1%, P = 0.717); postoperative hospital stay (5.0 ± 1.8 days vs. 5.1 ± 1.8 days, P = 0.911); intraoperative complications (2.7% vs. 0%, P = 0.333); and postoperative complications (0% vs. 1.4%, P > 0.999). The postoperative pain scores and analgesic requirements were significantly lower in the LESS surgical staging group. Conclusions Laparoendoscopic single-site surgical staging was a feasible, safe, and efficacious procedure for surgical management of early-stage endometrial cancer. It was associated with less postoperative pain and analgesic requirements and was comparable to conventional laparoscopic surgical staging in perioperative outcomes.
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 | 0.011 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.013 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".