[Evaluation of the development of laparoscopically-assisted vaginal hysterectomy in the Czech Republic over the last 10 years based on the data of the National Registry of Gynecology Laparoscopy Complications].
Bibliographic record
Abstract
OBJECTIVE: To survey the performance of laparoscopically assisted vaginal hysterectomy (LAVH) and other gynecologic laparoscopic operations performed in the Czech Republic. This series covers a period of 10 years, in which 23889 LAVH was performed. DESIGN: Retrospective study (Canadian Task Force classification II-3). METHODS: Two questionnaires were sent each year to more then one hundred of clinics performing laparoscopic gynecologic operations. RESULTS: In 2005, 52% of clinics responded with a total of 4062 LAVH operations. The most frequently reported indication for LAVH in 2005 were uterus myomatosus (58%), uterine bleeding (18%) and adnexectomy (9%). The overall complication rate in 2005 during LAVH was 6.,9% (n = 280), the rate of complications requiring laparotomy was 3.9% (n = 161). Increased experience with LAVH over last 10 years has had two consequences: a significant drop in the number of complications (14.7% in 1996 and 6.9% in 2005) and a drop in the mean time of duration of an operation (101 minutes in 1996 and 82 minutes in 2005). CONCLUSION: LAVH is replacing abdominal hysterectomy, which means significantly less discomfort and shorter hospital stay for patients.
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".