Evidence map›Paper›PMID 34223122›Full record

ReviewJAC-antimicrobial resistance2021

The antibiogram: key considerations for its development and utilization.

William R Truong, Levita Hidayat, Michael A Bolaris, Lee Nguyen, Jason Yamaki

Abstract readReview
In one paragraph

Review in JAC-antimicrobial resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
–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

62 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. JAC-antimicrobial resistance · 2026
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  6. Article
  7. Observational
  8. Article
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  11. Article
  12. Review
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  14. Article
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  17. The institutional antibiogram: Time for a makeover?Journal of hospital medicine · 2026
    Article
  18. Article
  19. Review
  20. Article

2 more citing papers are in PubMed but not listed here.

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

5 authors.

William R TruongDepartment of Pharmacy, Providence St. Joseph Hospital, Orange, CA, USA.
Levita HidayatMelinta Therapeutics, Morristown, NJ, USA.
Michael A BolarisDivision of Pediatric Infectious Diseases, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA.
Lee NguyenSchool of Pharmacy and Pharmaceutical Sciences, University of California, Irvine, CA, USA.
Jason YamakiDepartment of Pharmacy Practice, Chapman University School of Pharmacy, Irvine, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The antibiogram is an essential resource for institutions to track changes in antimicrobial resistance and to guide empirical antimicrobial therapy. In this Viewpoint, data and examples from literature are presented that suggest institutions have not completely adopted the standardized approach in developing antibiograms, as variations in the development methodologies of antibiograms exist despite consensus guidelines (M39) published by CLSI. We emphasize developing antibiograms in line with the M39 recommendations will help ensure that they are accurate, reliable and valid, and highlight that understanding the limitations of antibiogram data is critical to ensuring appropriate interpretation and application to clinical decision-making. We also stress the importance of easy accessibility and education on antibiogram use, to allow for prescribers to select the most optimal empirical treatment regimens and propose the creation of an abbreviated antibiogram for frontline users. Multidisciplinary antimicrobial stewardship programmes are vital to accomplishing these goals.

Identifiers

PMID34223122
PMCPMC8210055

What OpenQuestion holds

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LicenceCC BY-NC
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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.