Bibliographic record
Abstract
Rheumatology patients on immunosuppression are at increased risk of invasive pneumococcal disease. There is a multitude of literature highlighting the risk of pneumococcal infection, hospitalization, and even death in patients with systemic lupus erythematosus (SLE), in whom incidence of invasive pneumococcal infection is 13 times higher than the general population.1,2,3,4 Rheumatoid arthritis (RA) has also been deemed an at-risk condition and several other rheumatic diseases including polyarteritis nodosa, scleroderma, and Sjögren syndrome have increased hospitalization rates due to pneumococcal disease.2,3,4 The Centers for Disease Control and Prevention (CDC) recommends 2 different pneumococcal vaccinations—the 13-valent pneumococcal conjugate vaccine (PCV13) and the 23-valent pneumococcal polysaccharide vaccine (PPSV23)—for children aged 6 to 18 years and adults with immunocompromising conditions, which includes patients on iatrogenic immunosuppression.5,6 The European Alliance of Associations for Rheumatology vaccination recommendations state that pneumococcal vaccination should be strongly considered for the majority of patients with autoimmune inflammatory rheumatic diseases.7 The American College of Rheumatology RA treatment guidelines recommend pneumococcal vaccines for all treatment groups.8 Receipt of pneumococcal vaccines by adults and children with chronic inflammatory diseases on immunosuppression is also recommended by the Infectious Diseases Society of America.9 Despite the risk of invasive pneumococcal disease in many rheumatology patients and the pneumococcal vaccination recommendations summarized above, pneumococcal vaccination rates in this population overall are suboptimal, prompting many centers to engage in quality improvement efforts to increase their vaccination rates.10–19 In this issue of The Journal of Rheumatology , Sheth and colleagues … Address correspondence to Dr. J.G. Harris, Division of Rheumatology, Children’s Mercy Kansas City, 2401 Gillham Road, Kansas City, MO 64108, USA. Email: jgharris{at}cmh.edu.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.006 |
| 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; both teacher heads agree on what is shown here.
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".