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Record W2898221843 · doi:10.1093/ofid/ofy210.1277

1446. Correlation Between Adult Invasive and Noninvasive <i>Streptococcus pneumoniae</i> Disease in 13-Valent Pneumococcal Conjugate Vaccine Serotypes in the United States

2018· article· en· W2898221843 on OpenAlexaff
Jose A Suaya, Adriano Arguedas, Rodrigo E. Mendes, Jelena Vojicic, David L. Swerdlow, Raúl Istúriz, Bradford D. Gessner

Bibliographic record

VenueOpen Forum Infectious Diseases · 2018
Typearticle
Languageen
FieldMedicine
TopicPneumonia and Respiratory Infections
Canadian institutionsPfizer (Canada)
Fundersnot available
KeywordsStreptococcus pneumoniaeSerotypeMedicinePneumoniaPneumococcal conjugate vaccinePneumococcal diseasePneumococcal pneumoniaConjugate vaccinePneumococcal vaccineCommunity-acquired pneumoniaMicrobiologyVirologyInternal medicineAntibioticsBiology

Abstract

fetched live from OpenAlex

It is often assumed that there is correlation of Streptococcus pneumoniae (Sp) serotype distribution between invasive (INV) and non-invasive (N-INV) disease. This retrospective analysis assessed the correlations of the 13-Valent Pneumococcal Conjugate Vaccine serotypes (PCV13-type) between INV and N-INV diseases in US adults during 2009–2016. For INV and N-INV pneumonia, we used a bank of Sp isolates from the SENTRY Antimicrobial Surveillance Program, where 105 centers across 40 states and nine US Census regions collected isolates from sterile or nonsterile respiratory specimen types from consecutive patients with pneumonia (one per patient). The official online US Active Bacterial Core (ABC) surveillance database for Sp was used for INV pneumococcal disease (IPD); ABCs conducts active surveillance in selected counties across 10 states in United States. Of 6,508 Sp isolates obtained from adults from the SENTRY database, 15% were from invasive pneumonia (mainly blood cultures). In 2009, PCV13 serotypes accounted for 55 and 37% of INV and N-INV pneumococcal pneumonia; in 2016, they accounted for 25 and 23%, respectively. Between 2009 and 2016, ABC reported 23,704 IPD cases in adults ≥18 years; PCV13 serotypes accounted for 53% in 2009 and 25% of IPD in 2016. The correlations between IPD (ABC) with INV pneumonia (SENTRY) and N-INV pneumonia (SENTRY) were: 0.937 and 0.973 (both P < 0.01), respectively (Table 1). The proportion of IPD and N-INV pneumonia due to vaccine serotypes decreased consistently and monotonically until 2014 and then plateaued (Figure 1). We found a strong correlation between databases (SENTRY and ABC) and between INV and N-INV pneumococcal disease in the proportion of disease due to PCV13 types. Our findings would need to be confirmed at the individual serotype level. The observed decrease in PCV13-type disease through 2014 is compatible with herd effect from PCV13 vaccination in children. The plateau suggests remaining disease that may be addressed by direct vaccination of adults. Surveillance of IPD alone could guide some policy on PCV13-type pneumococcal pneumonia. J. A. Suaya, A. G. Arguedas, D. L. Swerdlow, Pfizer Inc.: Employee and Shareholder, Salary. R. E. Mendes, Merck: Research Contractor, Research support. J. Vojicic, Pfizer: Employee and Shareholder, Benefits and stock and Salary. R. E. Isturiz, Pfizer, Inc: Employee and Shareholder, Salary and Stock & Stock Options. B. D. Gessner, Pfizer Inc.: Employee and Shareholder, Salary.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.283
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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