Pneumococcal surface protein A (PspA) family distribution among clinical isolates from adults over 50 years of age collected in seven countries
Bibliographic record
Abstract
The pneumococcal surface protein PspA, a cell-wall-associated surface protein, is a promising component for pneumococcal vaccines. In this study, the distribution of the PspA family was determined in a panel of invasive and clinically important pneumococcal isolates from adults over 50 years of age, collected between 1995 and 2002. One thousand eight hundred and forty-seven recent isolates from invasive pneumococcal disease were obtained from seven Western countries, together with clinical data. An ELISA-based serological method was standardized in order to determine the PspA family and clade distribution. Molecular tests were used when isolates were non-typable by ELISA (PspA family typing by PCR). Only 42 (2.3 %) isolates were non-typable by ELISA and PspA family typing by PCR was performed. Finally, 3 isolates were considered as non-pneumococcal and 1844 were classified as follows: 749 (40.6 %) were PspA family 1, 1078 (58.5 %) were PspA family 2, 13 (0.7 %) were PspA family 1 and 2 and 4 (0.2 %) remained non-typable. The cross-reactivity of antibodies to PspAs of different clades was confirmed. In conclusion, inclusion of PspA family 1 and family 2 in future pneumococcal vaccines would ensure broad coverage of pneumococcal strains infecting people over 50 years of age.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; 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".