The Role of Abdominal Radiography in the Evaluation of the Nontrauma Emergency Patient
Bibliographic record
Abstract
PURPOSE: To characterize the utility of abdominal radiography for nontrauma emergency patients in a single-institution setting. MATERIALS AND METHODS: Following approval from the Director of Professional Services, a retrospective review of radiography and of patient records was conducted for patients who presented to a nontrauma emergency department over a period of 6 months and who were imaged by using abdominal radiography. Only the first radiograph per patient was used for analysis. The interpretations were sorted as normal, nonspecific, or abnormal. The patients' medical records were reviewed to determine whether further imaging was performed (computed tomography, ultrasonography, or upper gastrointestinal imaging) and results were compared with abdominal radiography. Chart reviews were conducted to identify patients in whom abdominal radiography alone influenced treatment. RESULTS: In 874 patients, interpretation of abdominal radiography was normal in 34% (n = 300), nonspecific in 46% (n = 406), and abnormal in 19% (n = 168). Further imaging was performed for 50% (436) of all patients. Of 300 patients whose abdominal radiography results were normal, 42% (n = 125) had follow-up imaging; 72% (n = 90) of these showed abnormal, 78% (165 of 212) showed nonspecific, and 87% (86 of 99) showed abnormal findings. Of 438 patients who did not undergo follow-up imaging, 75% (n = 327) were discharged. For all indications other than catheter placement, abdominal radiography helped confirm the suspected diagnosis in 2%-8% of cases. In 37 (4%) of 874 patients, abdominal radiography was possibly helpful in changing patient treatment without a follow-up study. CONCLUSION: Abdominal radiography is often requested; however, its results contribute to patient treatment in a small percentage of cases. With the exception of catheter placement, if a patient requires investigation beyond clinical history, physical examination, and lab results, the emergency physician should be encouraged to request more definitive imaging.
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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 | 0.002 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".