Dieulafoy's Lesion: Decade-Long Trends in Hospitalizations, Demographic Disparity, and Outcomes
Bibliographic record
Abstract
Background Dieulafoy's lesion is a relatively rare, but potentially life-threatening, condition where a tortuous arteriole, most commonly in the stomach, may bleed and lead to significant gastrointestinal hemorrhage. Limited epidemiological data exist on patient characteristics and the annual number of hospitalizations associated with such lesions. The aim of our study is to determine the inpatient burden of Dieulafoy's lesion. Methods We analyzed the National Inpatient Sample (NIS) database for all subjects with a discharge diagnosis of Dieulafoy's lesion of the stomach, duodenum, and colon using International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes 537.84 and 569.86 as the primary or secondary diagnosis during the period from 2002 to 2011. Statistical significance of variation in the number of hospital discharges and demographics during the study period was achieved using the Cochrane-Armitage trend test. Results In 2002, there were 1,071 admissions with a discharge diagnosis of Dieulafoy's lesion as compared to 7,414 in 2011 (p < 0.0001). Dieulafoy's lesion was found to be most common in the age group of 65-79 years (p < 0.0001). Overall, it was found to be more common in males as compared to females (p = 0.0261). The white race was most commonly affected amongst all the races. The average cost of care per hospitalization increased from $14,992 in 2002 to $25,594 in 2011 (p < 0.0001). Conclusion There has been a steady rise in the number of inpatient admissions with Dieulafoy's lesions. Advances in diagnostic techniques likely play a key role in the higher detection rates along with the possible involvement of other unknown factors. Men, in the age group of 65 to 79 years, and Whites were found to have significantly higher admission rates than all other groups, with a significant increase in the cost of care.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".