Evidence map›Paper›PMID 41635871›Full record

ArticleJAC-antimicrobial resistance2026

A nurse-run, pharmacist-led outpatient penicillin allergy de-label clinic in the UK.

Neil Powell, Daniel Hearsey, Tamsyn Lewis, Marie Thomas, Helen Winn, Amanda Pritchard

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Neil PowellPharmacy Department, Royal Cornwall Hospital, Truro TR1 3LJ, UK.ORCID https://orcid.org/0000-0002-6113-9810
Daniel HearseyPharmacy Department, Royal Cornwall Hospital, Truro TR1 3LJ, UK.
Tamsyn LewisVaccination and Health Promotion Team, Royal Cornwall Hospital, Truro TR1 3LJ, UK.
Marie ThomasVaccination and Health Promotion Team, Royal Cornwall Hospital, Truro TR1 3LJ, UK.
Helen WinnVaccination and Health Promotion Team, Royal Cornwall Hospital, Truro TR1 3LJ, UK.
Amanda PritchardVaccination and Health Promotion Team, Royal Cornwall Hospital, Truro TR1 3LJ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Penicillin allergy (penA) records are associated with negative patient and health-system outcomes, which makes removal of incorrect penA records (penicillin allergy de-labelling; PADL) an antimicrobial stewardship and patient safety priority. We set up a nurse-run, adult, low-risk PADL outpatient clinic, supervised by an antimicrobial pharmacist. Methods: Adult PADL guidelines were written and approved by the hospital, and PADL training was provided to nurses. Electronic adult referrals from hospital outpatient clinics and three GP surgeries in Cornwall were accepted. Patient telephone triage started from 6 January 2025, which included taking a penA-focused history, penA risk assessment and determination of PADL method. Eligible patients were invited for a direct oral penicillin challenge (DOC) test and were followed up via a telephone call 10 days after the test. The first outpatient PADL clinic was on 7 February 2025. Results: There were 404 referrals between 27 December 2024 and 16 September 2025, of which 326 were successfully contacted. Of these, 130/326 (39.9%) had a high-risk penicillin allergy history and 5/326 (1.5%) were excluded due to cognitive impairment. Of the 326 contacts, 191 (58.6%) were categorized as low risk. Of these, 22/191 (11.5%) were de-labelled on history alone, 54/191 (28.3%) were awaiting their outpatient DOC appointment or declined attending clinic, and 115/191 (60.2%) attended clinic for DOC. Of 115 patients, 110 (95.7%) patients were successfully de-labelled and 5 (4.3%) retained their allergy status due to side effects. Conclusions: PADL delivered by non-allergy nurses in the outpatient setting is safe and effective at removing low-risk penicillin allergy records.

Identifiers

PMID41635871
PMCPMC12862639

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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.