Bibliographic record
Abstract
BACKGROUND: Intestinal obstruction is one of the leading causes of admission to emergency wards around the world, and its etiology has changed over the past century. AIM: The goal of this study was to ascertain the causes of intestinal obstruction at our Institution and compare the results with other reports of Mexican, U.S., and Canadian hospitals. METHODS: Retrospective review of a cohort of patients with intestinal obstruction operated on between 1985 and 2000. Demographic data and operative findings were obtained. RESULTS: Our cohort included 452 patients, 55.3% were women; mean age for the entire group was 54 years. The obstruction was located in the small bowel in 86.9% of cases and the leading causes were adhesions (58.6%), hernia (16.1%) and neoplasia (13.9%). Other etiologic factors had a low incidence that varied between 4.4 and 0.22%. CONCLUSIONS: The most common causes of intestinal obstruction are similar to those reported in the U.S., British and Canadian medical literature. Some tertiary-level Mexican institutions showed the same incidence of etiology, but some large general hospitals in Mexico City showed etiologic factors reported 100 years ago by the current so-called developed countries, i.e., that the same socioeconomic conditions existed in both population groups nearly a century apart.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Retrospective cohort on the etiology of intestinal obstruction.
It studies the causes of intestinal obstruction in clinical patients.
Retrospective clinical series on causes of intestinal obstruction; Canada appears only in comparative literature.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".