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Record W4392636963 · doi:10.1093/cid/ciae126

The Positioning of Ceftobiprole in the Treatment of <i>Staphylococcus aureus</i> Bacteremia

2024· article· en· W4392636963 on OpenAlexaboutno aff
Daniel J. Minter, Ayesha Appa, Henry F. Chambers, Sarah B. Doernberg

Bibliographic record

VenueClinical Infectious Diseases · 2024
Typearticle
Languageen
FieldMedicine
TopicAntibiotics Pharmacokinetics and Efficacy
Canadian institutionsnot available
FundersNational Institute of Arthritis and Musculoskeletal and Skin Diseases
KeywordsBacteremiaStaphylococcus aureusMedicineMicrobiologyAntibioticsBiologyBacteria

Abstract

fetched live from OpenAlex

To The Editor—We appreciate the interest that Membrillo de Novales and colleagues have expressed regarding our article. Here, we address some of their concerns. Membrillo de Novales et al raised questions about the methodology used to support the recommendations in our recent article. For our invited clinical review, we were asked to present “personal, authoritative viewpoints” on elements of clinical practice, as opposed to writing a clinical practice guideline. Accordingly, we sought to summarize available evidence and discuss management practices informed by our clinical experience and practice settings. We do agree with Membrillo de Novales and colleagues that the positioning of ceftobiprole deserves additional consideration for the management of Staphylococcus aureus bacteremia (SAB). A fifth-generation cephalosporin that has activity against a wide range of gram-positive bacteria (including methicillin-resistant S. aureus [MRSA]) and gram-negative bacteria, ceftobiprole is an attractive agent for treatment of complex and potentially drug-resistant infections. Recently, there has been an increased use of ceftobiprole in countries where it is available, although definitive conclusions are challenging to draw from nonrandomized observational studies [1–4]. Results from the "Ceftobiprole for Treatment of Complicated Staphylococcus aureus Bacteremia" (ERADICATE) trial, a randomized, phase 3, double-blind, noninferiority trial, were recently published and showed that ceftobiprole met the prespecified noninferiority margin (15%) for clinical success at 70 days compared with daptomycin ± aztreonam [5], although there were numerically worse outcomes with ceftobiprole for the subgroup of participants with MRSA (nonsignificant). Nonetheless, these results are certainly important and represent a major research milestone in the treatment of SAB, a condition for which new antimicrobial agents are direly needed. As Membrillo de Novales and colleagues point out, the results of the ERADICATE trial were published largely contemporaneously to our review, and we felt that it was important to include a discussion of this significant trial. That said, ceftobiprole does not yet have regulatory approval in the United States (where it is not even commercially available), Canada, or the European Union for the particular indication of SAB. This as well as the relatively limited (although increasing) clinical experience with ceftobiprole for salvage treatment of SAB led us to position it similarly to ceftaroline in our review, although we acknowledge that the results of the ERADICATE trial are notable and certainly constitute a stronger evidence base for ceftobiprole compared with ceftaroline for SAB. In summary, we appreciate Membrillo de Novales and colleagues’ comments on the role that ceftobiprole should occupy in the treatment of SAB. We look forward to greater availability and clinical experience with this agent in the years to come. Editor's note. The state-of-the-art reviews that appear in Clinical Infectious Diseases are not meant to represent clinical guidelines but rather personal authoritative viewpoints on elements of clinical practice.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.049
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0040.003
Open science0.0040.001
Research integrity0.0090.012
Insufficient payload (model declined to judge)0.0040.002

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 head0.027
GPT teacher head0.385
Teacher spread0.358 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2024
Admission routes1
Has abstractyes

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