[General surgery in a rural hospital in the State of Quintana Roo, Mexico].
Bibliographic record
Abstract
BACKGROUND: The general surgeon maintains extraordinary validity worldwide, especially in countries like the United States, Canada, India, and continents such as Australia and Africa. In addition to their role as a general surgeon, they assist with surgical pathologies in rural areas where there is generally a lack of technology to carry out complicated procedures. Therefore, we undertook this study to determine the number and type of surgical procedures carried out in a rural hospital with three general surgeons, as well as to determine morbidity and respective mortality. METHODS: The study was retrospective and longitudinal, using descriptive statistics during a 5.5-year period. RESULTS: During the period of June 1999 to December 2004, a total of 651 (100%) surgical procedures were carried out. There were 351 males (53%) and 300 females (47%) with average age of 28.5 +/- 16.0 years. There were 408 (63%) minor surgical procedures accomplished in the operating room: 150 (45%) for females with average age of 25.8 +/- 13.8 years old and 258 (55%) for males with average age of 27.7 +/- 15.5 years old. There were 243 major surgical procedures (37%): for females there were 150 (60%) with average age of 28.4 +/- 11.8 years old and for males there were 93 (40%) with average age of 29.5 +/- 16.6 years old [morbidity, six cases (0.9%) and mortality, two cases (0.3%)]. CONCLUSIONS: The demand for surgery in rural areas is not different from the surgery carried out in large cities, although there are limitations. It is important in this regard to adequately prepare the general surgeon in Mexico.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".