Systematic review of atraumatic splenic rupture
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Atraumatic splenic rupture (ASR) is an ill defined clinicopathological entity. METHODS: The aim was to characterize aetiological and risk factors for ASR-related mortality in order to aid disease classification and treatment. A systematic literature review (1980-2008) was undertaken and logistic regression analysis employed. RESULTS: Some 632 publications reporting 845 patients were identified. The spleen was normal in 7.0 per cent (atraumatic-idiopathic rupture). One, two or three aetiological factors were found in 84.1, 8.2 and 0.7 per cent respectively (atraumatic-pathological rupture). Six major aetiological groups were defined: neoplastic (30.3 per cent), infectious (27.3 per cent), inflammatory, non-infectious (20.0 per cent), drug- and treatment-related (9.2 per cent) and mechanical (6.8 per cent) disorders, and normal spleen (6.4 per cent). Treatment comprised total splenectomy (84.1 per cent), organ-preserving surgery (1.2 per cent) or conservative measures (14.7 per cent). The ASR-related mortality rate was 12.2 per cent. Splenomegaly (P = 0.040), age above 40 years (P = 0.007) and neoplastic disorders (P = 0.008) were associated with increased ASR-related mortality on multivariable analysis. CONCLUSION: The condition can be classified simply into atraumatic-idiopathic (7.0 per cent) and atraumatic-pathological (93.0 per cent) splenic rupture. Splenomegaly, advanced age and neoplastic disorders are associated with increased ASR-related mortality.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.011 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it