Antibody Response to Pneumococcal Polysaccharide Vaccine in Systemic Sclerosis
Bibliographic record
Abstract
To the Editor: Systemic sclerosis (SSc) is a connective tissue disorder characterized by cutaneous and visceral fibrosis, and obliterative vasculopathy. The lungs are frequently affected in SSc, and pulmonary disease may significantly influence morbidity and mortality1. Patients with SSc are at increased risk for microbial infections due to the immune effects of the disease itself, and the frequent use of immunosuppressive agents. Current guidelines recommend vaccination with pneumococcal polysaccharide for persons 2 to 64 years of age with chronic illness and for persons 65 years of age or older2,3. Therefore, vaccination might be useful in this infection-prone population provided that the vaccines produce a significant increase in antibody levels. To date, antibody responses to pneumococcal polysaccharide vaccine in patients with SSc are unknown. We evaluated the immunogenicity of this commercial vaccine in patients with SSc during promotional campaigns. Eighteen consecutive patients with SSc, according to the American College of Rheumatology criteria4, attending our outpatient clinic were included. Patients were grouped in subsets as defined by LeRoy, et al 5. Patients who had received pneumococcus vaccination within 5 years prior to study were excluded. There were 17 women and one man of median age 46.5 years (range 31–62) and median disease duration 7.5 years (range 1–12). Diffuse cutaneous SSc … Address reprint requests to Dr. Mercado; E-mail: ulisesmercado{at}uabc.mx
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".