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Record W2150052964 · doi:10.1586/14787210.6.1.67

Dalbavancin and telavancin: novel lipoglycopeptides for the treatment of Gram-positive infections

2008· review· en· W2150052964 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueExpert Review of Anti-infective Therapy · 2008
Typereview
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsHealth Sciences Centre
Fundersnot available
KeywordsDalbavancinTeicoplaninVancomycinMedicineGlycopeptideStaphylococcus aureusMethicillin-resistant Staphylococcus aureusMicrobiologyPharmacologyAntibioticsBiologyBacteria

Abstract

fetched live from OpenAlex

Two glycopeptide analogues of vancomycin and teicoplanin have been developed with improved pharmacokinetic/pharmacodynamic parameters. Dalbavancin was derived from teicoplanin, and telavancin is a derivative of vancomycin. The half-life of dalbavancin in humans is 147-258 h (6-11 days) allowing for weekly administration. Dalbavancin possesses more potent in vitro activity than vancomycin or teicoplanin. Dalbavancin has been investigated in uncomplicated and complicated skin and skin structure infections (SSSIs) in clinical trials and has demonstrated equivalent or superior (versus vancomycin only) efficacy versus comparators. Telavancin exhibits a dual mechanism of action, low potential for resistance development and is active against resistant pathogens, including methicillin-resistant Staphylococcus aureus (MRSA). Clinical trials involving SSSIs have demonstrated equivalent or superior (versus vancomycin for MRSA) efficacy compared with a standard therapy. Both telavancin and dalbavancin show promise as alternative treatments for patients with serious infections caused by resistant 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.

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 score0.966
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.050
GPT teacher head0.388
Teacher spread0.339 · 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