Management of spleen injuries in the adult trauma population: a ten-year experience.
Bibliographic record
Abstract
BACKGROUND: Increasing awareness of the postoperative risks associated with splenectomies has led physicians and surgeons to use an alternative nonoperative strategy in handling traumatic spleen injuries. Our primary objective was to compare clinical outcomes between operative and nonoperative managements in adult patients with blunt splenic injuries. The secondary objective was to assess the changes in the patterns of managing splenic injuries in the past 10 years. METHODS: We performed a retrospective chart review on 266 adult patients with a spleen injury who were admitted to a tertiary trauma centre in Ontario between 1992 and 2001. We grouped and compared the patients according to the treatment received, either operative or nonoperative. Frequencies and confidence intervals are reported. Categorical variables were compared with chi-square or Fisher's exact tests. Continuous variables were reported as median and quartile (Q) and were compared with the nonparametric Mann-Whitney U test. RESULTS: Of 266 patients, 118 had surgery and 148 were managed nonoperatively. The mortality rate was similar between operative and nonoperative groups (9.3% v. 6.8%, p = 0.49), respectively. The rate of any complication was 47.9% for the operative group and 37.9% for the nonoperative group. The median length of stay in hospital was significantly higher in the operative group than in the nonoperative group (21.0 [Q 11.0-40.5] v. 14.0 [Q 7.0-31.5] d, p < 0.001), respectively. This difference was more likely related to a higher proportion of patients having injury severity scores greater than 25 in the operative group. The rate of nonoperative management of spleen injuries was significantly increased from 48.5% to 63.1% between 1992-1996 and 1997-2001 (p = 0.02). CONCLUSION: The present study has shown that nonoperative management of blunt spleen trauma has increased over time and has acceptable mortality and complication rates in selected patients. Additional prospective studies are needed to assess the feasibility and safety of nonoperative management in adult spleen injuries. Furthermore, the management of traumatic spleen injuries with respect to associated injuries, such as head injuries or intra-abdominal injuries, needs ongoing evaluation.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".