Evidence map›Paper›PMID 39430796›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2024

Documented penicillin allergy and beta-lactam antibiotic use in Massachusetts long-term care facilities: opportunities for penicillin allergy delabeling.

Kap Sum Foong, Shira Doron, Leslie Fowle, Melissa Cumming, Jessica Leaf, Barbara Bolstorff, Christina Brandeburg, Ye Chen, Alysse Wurcel

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Penicillin allergy delabeling in long-term care facilities: if not now, then when?Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025
    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

9 authors.

Kap Sum FoongDivision of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, MA, USA.ORCID https://orcid.org/0000-0001-6259-0032
Shira DoronDivision of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, MA, USA.
Leslie FowleDivision of Epidemiology, Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
Melissa CummingDivision of Epidemiology, Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
Jessica LeafDivision of Epidemiology, Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
Barbara BolstorffDivision of Epidemiology, Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
Christina BrandeburgDivision of Epidemiology, Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
Ye ChenTufts Clinical and Translational Science Institute, Tufts School of Graduate Biomedical Sciences, Boston, MA, USA.ORCID https://orcid.org/0000-0001-6490-5747
Alysse WurcelDivision of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, MA, USA.ORCID https://orcid.org/0000-0002-8255-8387

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a cross-sectional study of 20 Massachusetts long-term care (LTC) facilities, 19% (n = 449) of residents received antibiotics, with approximately one-third having a documented penicillin allergy. This documented allergy decreased the likelihood of prescribing beta-lactam antibiotics for infections. Improved penicillin allergy assessments and delabeling could optimize antibiotic prescribing in LTC settings.

Identifiers

PMID39430796
PMCPMC11488468

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Registered trials

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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.