347International Journal of Circumpolar Health 68:4 2009 Endocarditis in\tGreenland ORIGINAL ARTICLE ENDOCARDITIS IN\tGREENLAND\tWITH SPECIAL REFERENCE\tTO\tENDOCARDITIS CAUSED BY\tSTREPTOCOCCUS PNEUMONIAE
Bibliographic record
Abstract
Objectives. The aim of this retrospective study was to determine the incidence and outcome of infectious endocarditis in Greenland with an emphasis on pneumococcal endocarditis. Study design. Retrospective, non-interventional study. Methods. Review of files and medical history of all patients with infectious endocarditis from the Patient Registry in Greenland in the 11-year period 1995–2005. Results. There were 25 cases of endocarditis, giving an incidence rate of 4.0/100,000 per year. Twenty-four percent of these cases were caused by Streptoccous pneumonia, which is significantly more frequent than in studies on Caucasian populations, where pneumococcal infection was seen in 1–3 % of endocarditis cases. The overall mortality rate was 12%. Pneumococcal endocarditis (PE) had the clinical characteristics of fulminant disease with frequent heart failure, complica-tions and need for surgery. Among cases with PE, 67 % needed acute valve replacement and the mortality rate was 33%. Conclusions. The high incidence rate, clinical characteristics and grave prognosis of PE are consistent with another study of an Inuit population in Alaska. (Int J Circumpolar Health 2009; 68(4):347-353)
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".