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Record W2002993124 · doi:10.1097/qco.0b013e328332bbfe

Group A streptococcal vaccines: facts versus fantasy

2009· review· en· W2002993124 on OpenAlexaff
Andrew C. Steer, Michael R. Batzloff, Kim Mulholland, Jonathan R. Carapetis

Bibliographic record

VenueCurrent Opinion in Infectious Diseases · 2009
Typereview
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineAntigenStreptococcus pyogenesClinical trialStreptococcusImmunologyGroup AVirologyBiologyBacteriaInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: This review provides an overview of progress of the development of group A streptococcal (GAS) vaccines with a focus on recent advances. RECENT FINDINGS: Historically, GAS vaccine development has focused on the N-terminus of the M protein, which ultimately led to successful phase I/II clinical trials of a 26-valent recombinant M protein vaccine in 2004-2005. More recently, interest in antigens conserved among most, if not all, group A streptococci has increased. However, no vaccines containing these antigens have reached clinical trials. Three strategies have been used to develop conserved antigen vaccine candidates: use of the conserved region of the M protein; use of well described virulence factors as antigens, including streptococcal C5a peptidase, streptococcal carbohydrate, fibronectin-binding proteins, cysteine protease and streptococcal pili; and use of reverse vaccinology to identify novel antigens. SUMMARY: Several vaccine candidates against GAS infection are in varying stages of preclinical and clinical development. Although there is great hope that one of these vaccine candidates will reach licensure in the next decade, only one, the multivalent N-terminal vaccine, has entered clinical trials in the last 30 years. Although strong advocacy for GAS vaccine development is important, there remains an urgent need to institute available public health control measures against GAS diseases globally, particularly in developing countries.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.963
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.102
GPT teacher head0.429
Teacher spread0.327 · 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 designOther design
Domainnot available
GenreReview

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

Citations112
Published2009
Admission routes1
Has abstractyes

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