Colecistite aguda não-complicada: colecistectomia laparoscópica precoce ou tardia?
Bibliographic record
Abstract
Recent meta-analyses suggested that early laparoscopic cholecystectomy (within 1 week of symptom onset) for uncomplicated acute gallbladder disease is safe and feasible. However, surveys on surgical practices indicated that early laparoscopic cholecystectomy is performed by only a minority of surgeons. Furthermore, the exact time-point for performing this procedure as well as its cost-effectiveness remain a matter of debate. The TBE - CiTE Journal Club performed a critical appraisal of the most relevant evidence recently published on timing of laparoscopic cholecystectomy and its cost-effectiveness for the management of uncomplicated acute cholecystitis and provides evidence-based recommendations on the topic. The literature encompasses small trials with high risk of biases. It suggests that early laparoscopic cholecystectomy is safe and shortens hospital stay. There is scarcity of well-designed and large cost-utility analyses. The following main recommendations were generated: (1) Early laparoscopic cholecystectomy should be attempted as the first-line treatment within one week of symptoms onset; and (2) The cost-effectiveness of early laparoscopic cholecystectomy should be evaluated at the individual hospital level, taking into consideration local resources such as the availability of trained personal, operating room and laparoscopic equipment.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.009 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".