Chilaiditi Syndrome - A Case Report of Pseudopneumoperitoneum
Bibliographic record
Abstract
Pneumoperitoneum presents a crucial diagnostic indicator, dictating the immediacy of patient management within an emergency department. Chilaiditi's sign denotes an uncommon radiological discovery characterized by the transposition of the large intestines between the diaphragm and the liver. Should symptoms arise in the patient, this condition is referred to as Chilaiditi syndrome. We report a unique instance involving a 77-year-old female who visited our emergency department with complaints of chest and abdominal pain. Upon radiological evaluation through chest radiograph and computed tomography scan, she was diagnosed with Chilaiditi syndrome. Instead of opting for invasive and potentially unnecessary diagnostic and therapeutic procedures, she was managed conservatively. This approach was chosen to mitigate the risk of heightened morbidity associated with unwarranted interventions. This case report delves into Chilaiditi syndrome, aiming to enhance the understanding of healthcare practitioners regarding this condition. Emphasizing the significance of thorough physical examinations in assessing patients presenting with apparent signs of air under the diaphragm is a key focus of this review. Keywords: Pneumoperitoneum, Chilaiditi, Pseudopneumoperitoneum.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".