Splenic Abscess and Management Options: Report of Four Cases
Bibliographic record
Abstract
Abscess of the spleen is a rather clinical rarity with reported mortality rate up to 47%. The timely and widespread use of imaging methods facilitates early diagnosis and guides treatment, thus improving the prognosis. Most of patients were with recognized risk factors including conditions that compromise the immune system, trauma and intravenous drug abuse in addicts. The surgical treatment by splenectomy is usually the first choice of treatment but percutaneous drainage is the valid option. Splenic abscess is an unusual and potentially life-threatening disease with a diagnostic challenge due to the non-specific clinical picture and diagnosis is confirmed based mostly on imaging studies. Splenic abscesses are very rarely encountered in surgical practice with a reported high mortality rate in neglected and untreated cases. Percutaneous drainage is a valid option and safe procedure for patients with splenic abscess. J Med Cases. 2016;7(10):432-434 doi: http://dx.doi.org/10.14740/jmc2633w
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".