Laparoscopic Sleeve Gastrectomy in a Patient With Situs Inversus Totalis and Kartagener Syndrome
Bibliographic record
Abstract
Laparoscopic sleeve gastrectomy (LSG) is a widely accepted and adopted procedure to achieves weight loss in morbid obesity. Situs inversus (SI) is when the body's visceral organs are not in the normal position with reversal of anatomical orientation. Patients with obesity and SI can be challenging to diagnose and manage. We present a case of a 23-year-old male who has SI totalis with Kartagener syndrome who underwent LSG to treat morbid obesity. Furthermore, we conducted a comprehensive review of the current medical literature. We conclude that LSG can be safely performed in SI. However, it is recommended to leave such cases to more experienced surgeons. In addition, it is advisable to consider few unconventional technical operative methods before surgery. Nevertheless, more data are needed to better study LSG in SI patients, which can be difficult given the rare nature of SI.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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 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".