Factores pronósticos asociados a morbimortalidad quirúrgica en pacientes con atresia de esófago con fístula distal; experiencia de 10 años en un hospital de tercer nivel de la Ciudad de México
Bibliographic record
Abstract
Introduction. The most used prognostic classifications in esophageal atresia are Waterston and Montreal. The purpose of this study was to search for prognostic factors for surgical complications such as dehiscence, refistulization, stenosis and mortality in our population. Methods. Retrospective case-control study on a series of type III esophageal atresia operated in our center over 10 years with a follow-up of at least 2 years. Statistically tests were chi square, Student's t test, and odds ratio. Results. Prognostic factors for mortality were gestational age, acidosis or pneumonia at admission, Waterston C and Montreal II classifications, and days of mechanical ventilation. Complications associated with ventilation were risk factors for dehiscence. This latter is in turn a risk factor for refistulization, and along with gastroesophageal reflux both are risk factors for esophageal stenosis. Conclusions. There are some specific factors in our population that enhance the risk of morbidity and mortality.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".