Evidence map›Paper›PMID 24614378›Full record

ArticleAntimicrobial agents and chemotherapy2014

A novel approach utilizing biofilm time-kill curves to assess the bactericidal activity of ceftaroline combinations against biofilm-producing methicillin-resistant Staphylococcus aureus.

Katie E Barber, Brian J Werth, John P McRoberts, Michael J Rybak

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Biofilm and its implications postfracture fixation: All I need to know.OTA international : the open access journal of orthopaedic trauma · 2021
    Article
  9. Adjuvant antibiotic-loaded bone cement: Concerns with current use and research to make it work.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2021
    Article
  10. Review
  11. Induction heating for eradicatingBone & joint research · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Katie E BarberAnti-Infective Research Laboratory, Eugene Applebaum College of Pharmacy and Health Sciences, School of Medicine, Wayne State University, Detroit, Michigan, USA.
Brian J Werth
John P McRoberts
Michael J Rybak

Funding

Impact of Daptomycin Dose Exposure on Enterococci and Characterization of ResistaR21AI092055 · NIAID · WAYNE STATE UNIVERSITY · PI RYBAK, MICHAEL JOSEPH · 2011 to 2012
$430k
NIAID NIH HHS R21 AI092055NIAID NIH HHS R21AI092055
6 · The paper itself

Abstract

Medical device infections frequently require combination therapy. Beta-lactams combined with glycopeptides/lipopeptides are bactericidal against methicillin-resistant Staphylococcus aureus (MRSA). Novel macrowell kill-curve methods tested synergy between ceftaroline or cefazolin plus daptomycin, vancomycin, or rifampin against biofilm-producing MRSA. Ceftaroline combinations demonstrated the most pronounced bacterial reductions. Ceftaroline demonstrated greatest kill with daptomycin (4.02 ± 0.59 log10 CFU/cm(2)), compared to combination with vancomycin (3.36 ± 0.35 log10 CFU/cm(2)) or rifampin (2.68 ± 0.61 log10 CFU/cm(2)). These data suggest that beta-lactam combinations are useful against MRSA biofilms.

Indexed as

Anti-Bacterial AgentsBiofilmsCeftarolineCephalosporinsMethicillin-Resistant Staphylococcus aureusAnti-Bacterial AgentsCeftarolineCephalosporins

Identifiers

PMID24614378
PMCPMC3993275

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.