Plastic Surgery Medical Tourism in Colombia: A Review of 658 International Patients and 1,796 Cosmetic Surgery Procedures
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Cosmetic surgery is at the forefront of a $60 billion medical tourism industry. Patients are now able to research options globally through the internet, and increasing numbers are seeking improved service, quality, and value through surgery overseas. This study examines 658 consecutive patients receiving 1,796 cosmetic surgery procedures at a private plastic surgery practice in Cartagena, Colombia. METHODS: We retrospectively reviewed the medical records of 658 consecutive international patients receiving cosmetic surgery at a private plastic surgery practice in Cartagena, Colombia. RESULTS: Patients traveled to Colombia from 34 different countries spread across 6 continents. Ninety percent of patients came from North America. Patients from the United States represented 38 states and the District of Columbia, and Canadian patients represented 7 provinces. Eighty-three percent of patients were women and 90% were between the age of 20 and 54. The 658 patients in this study had a total of 1,796 cosmetic surgery procedures, involving 5,456 surgical sites. Seventy-two percent of patients received combination procedures with an average of 2.7 procedures per patient. Ninety-nine percent of cases were performed under general anesthesia and 100% were performed in an accredited hospital. CONCLUSIONS: Our data highlight trends defining plastic surgery medical tourism. Our data indicate that traveling for surgery is widely appealing, with women and men from diverse backgrounds traveling to Colombia from all over the world for a variety of procedures.
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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 | 0.005 | 0.096 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it