Evidence map›Paper›PMID 34161664›Full record

ArticleClinical and translational allergy2021

Frequency of severe reactions following penicillin drug provocation tests: A Bayesian meta-analysis.

António Cardoso-Fernandes, Kimberly G Blumenthal, Anca Mirela Chiriac, Isabel Tarrio, David Afonso-João, Luís Delgado, João Almeida Fonseca, Luís Filipe Azevedo, Bernardo Sousa-Pinto

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational allergy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Time to challenge penicillin allergy labels.Canadian family physician Medecin de famille canadien · 2025
    Article
  8. Article
  9. How to Define and Manage Low-Risk Drug Allergy Labels.The journal of allergy and clinical immunology. In practice · 2024
    Review
  10. The state and consideration for skin test of β-lactam antibiotics in pediatrics.Frontiers in cellular and infection microbiology · 2023
    Review
  11. Review
  12. 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 at 3 institutions in 3 countries.

António Cardoso-FernandesDepartment of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal.
Kimberly G BlumenthalDivision of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Anca Mirela ChiriacDepartment of Pulmonology, Division of Allergy, Hôpital Arnaud de Villeneuve, University Hospital of Montpellier, Montpellier, France.
Isabel TarrioCenter for Health Technology and Services Research (CINTESIS), Faculty of Medicine, University of Porto, Porto, Portugal.
David Afonso-JoãoCenter for Health Technology and Services Research (CINTESIS), Faculty of Medicine, University of Porto, Porto, Portugal.
Luís DelgadoCenter for Health Technology and Services Research (CINTESIS), Faculty of Medicine, University of Porto, Porto, Portugal.
João Almeida FonsecaDepartment of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal.
Luís Filipe AzevedoDepartment of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal.
Bernardo Sousa-PintoDepartment of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal.ORCID https://orcid.org/0000-0002-1277-3401
Universidade do Porto · PTHarvard University · USInserm · FR

Funding

The Clinical and Economic Impact of Penicillin AllergyK01AI125631 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI BLUMENTHAL, KIMBERLY GOLD · 2016 to 2021
$779k
NIAID NIH HHS K01 AI125631
6 · The paper itself

Abstract

backgroundPatients with a penicillin allergy label tend to have worse clinical outcomes and increased healthcare use. Drug provocation tests (DPT) are the gold-standard in the diagnostic workup of penicillin allergy, but safety concerns may hinder their performance. We aimed to assess the frequency of severe reactions following a DPT in patients with reported allergy to penicillins or other β-lactams.

methodsWe performed a systematic review, searching MEDLINE, Scopus, and Web of Science. We included primary studies assessing participants with a penicillin allergy label who underwent a DPT. We performed a Bayesian meta-analysis to estimate the pooled frequency of severe reactions to penicillin DPTs. Sources of heterogeneity were explored by subgroup and metaregression analyses.

resultsWe included 112 primary studies which included a total of 26,595 participants. The pooled frequency of severe reactions was estimated at 0.06% (95% credible interval [95% CrI] = 0.01%-0.13%; I

conclusionsIn patients with a penicillin allergy label, severe reactions resulting from DPTs are rare. Therefore, except for patients with potentially life-threatening index reactions or patients with positive skin tests-who were mostly not assessed in this analysis -, the safety of DPTs supports their performance in the diagnostic assessment of penicillin allergy.

Indexed as

adverse drug reactionsanaphylaxisBayesian meta-analysisdrug allergydrug challengedrug provocation testpenicillin allergysystematic review

Identifiers

PMID34161664
PMCPMC8215894
OpenAlexW3081598159

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.