Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 315

The DOI matches its Crossref record.

Correlation between In Vivo and In Vitro Efficacy of Antimicrobial Agents against Foreign Body Infections

Widmer, A. F., Frei, R., Rajacic, Z., Zimmerli, W.·1990·Journal of Infectious Diseases

Abstract

Implant-associated infections are often resistant to antibiotic therapy. Routine sensitivity tests fail to predict therapeutic success. Therefore experimental in vitro tests were sought that would better correlate with drug efficacy in device-related infections. The activity of six different antibiotics against methicillin-resistant Staphylococcus epidermidis was investigated. In vivo studies were performed with the guinea pig tissue-cage animal model; in vitro studies with minimum inhibiting and bactericidal concentrations, time-kill studies of growing and stationary-phase microorganisms, the killing of glass-adherent S. epidermidis. Drug efficacy on stationary and adherent microorganisms, but not minimum inhibiting concentrations, predicted the outcome of device-related infections. Rifampin cured 12 of 12 infections and was also the most efficient drug in any experimental in vitro test. Similarly, the failure of ciprofloxacin to eradicate foreign body infections correlated with its low efficacy on stationary-phase and adherent S. epidermidis.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/infdis/162.1.96

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 315

Metadata

Authors
Widmer, A. F., Frei, R., Rajacic, Z., & Zimmerli, W.
Venue
Journal of Infectious Diseases
Published
1990-07-01
Volume
162
Issue
1
Pages
96-102
ISSN
  • 0022-1899 (ISSN-L)
  • 1537-6613
OpenAlex
W2156217104
Cited by
315
References
0
FWCI
11.31
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Correlation between In Vivo and In Vitro Efficacy of Antimicrobial Agents against Foreign Body Infections. https://app.cochat.ai/papers/10.1093/infdis/162.1.96
The paper
Widmer, A. F., Frei, R., Rajacic, Z., & Zimmerli, W. (1990). Correlation between In Vivo and In Vitro Efficacy of Antimicrobial Agents against Foreign Body Infections. Journal of Infectious Diseases. https://doi.org/10.1093/infdis/162.1.96

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.