Septic Arthritis in Rheumatology: Review of Five Cases
Bibliographic record
Abstract
UNLABELLED: This report illustrates five cases of patients admitted to medical ward in HUKM, diagnosed and treated as septic arthritis over the course of two months. Their age ranged from 32 to 67 years old with one patient had history of monoarticular pain and the other four had polyarticular pain. Two of these patients had pre-existing joint disease, namely gouty arthritis and rheumatoid arthritis, and another patient with background history of mixed connective tissue disease on long term steroid therapy. The diagnosis of septic arthritis was made mainly from clinical assessment, supported by synovial fluid assessment and blood investigations. All patients received minimum of two weeks intravenous antibiotic followed by one month course of antibiotic. All of them had arthrocentesis for diagnostic and therapeutic purposes and two had laparoscopic arthroscopy with wash out done. KEYWORDS: Septic arthritis; Arthrocentesis; Arthroscopy.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".