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Record W2009126972 · doi:10.1517/14656566.2011.633511

Telavancin for the treatment of serious gram-positive infections, including hospital acquired pneumonia

2011· review· en· W2009126972 on OpenAlexaff
Ethan Rubinstein, G. Ralph Corey, Martín E. Stryjewski, Zeina A. Kanafani

Bibliographic record

VenueExpert Opinion on Pharmacotherapy · 2011
Typereview
Languageen
FieldMedicine
TopicNosocomial Infections in ICU
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicinePneumoniaIntensive care medicineHospital-acquired pneumoniaAntibioticsStaphylococcus aureusDosingMethicillin-resistant Staphylococcus aureusInternal medicineMicrobiology

Abstract

fetched live from OpenAlex

INTRODUCTION: Hospital-acquired pneumonia is a common infection, associated with substantial mortality. Despite the increasing prevalence of nosocomial pneumonia caused by methicillin-resistant Staphylococcus aureus (MRSA), approved treatment options for this pathogen are limited. AREAS COVERED: This article reviews the pharmacokinetics, dosing, preclinical studies and clinical efficacy, and safety of telavancin, with a particular focus on results from trials in nosocomial pneumonia. PubMed and Congress websites were searched for relevant articles published between 2003 and 2010. EXPERT OPINION: Telavancin is a lipoglycopeptide antibiotic with rapid, bactericidal activity against MRSA, and may provide another option for the treatment of nosocomial pneumonia, owing to Gram-positive pathogens.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
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 head0.117
GPT teacher head0.458
Teacher spread0.341 · 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 designNot applicable
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

Citations17
Published2011
Admission routes1
Has abstractyes

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