Repair of Inguinal Hernia in an Ambulatory Way
Bibliographic record
Abstract
Introduction: the surgical treatment of inguinal hernia has increased in the last decade and its prevalence is not known.Objective: to evaluate the results of ambulatory surgical treatment of this Entity, describe the population, techniques and complications, from January 2009 to December 2018.Methods: an observational, descriptive and prospective study of 760 patients with the diagnosis of inguinal hernia was performed, which were operated on an outpatient basis in the General Teaching Hospital "Enrique Cabrera" since January from 2009 to December 2018.Emergency operated patients were excluded.Results: the highest incidence of inguinal hernia was found between the ages of 60 and 80 years.Indirect right inguinal hernia appeared more frequently.Desarda's anatomic surgical technique was the most applied in 410 (54%) of the cases and Lichtenstein's hernioplasty with 224 (29.4%) followed in frequency.There was a total of 5 (0.6%) recurrences.Local anesthesia was applied in 609 (90.8%) of the patients, on an outpatient basis they were 100%.The total complications were 31 (4.0%).Conclusions: surgical treatment of inguinal hernia on an outpatient basis is an appropriate process.It creates comfort in patients, decreases the risk of hospital infection, reduces waiting lists and hospital costs.
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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 | 0.000 | 0.001 |
| 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) | 0.005 | 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".