ReviewPharmacy (Basel, Switzerland)2019
Penicillin Allergy Skin Testing in the Inpatient Setting.
Review in Pharmacy (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Antibiotic use and financial impact of a comprehensive beta-lactam allergy management program.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025Article
- Patient-related factors impact the implementation of inpatient antibiotic allergy delabeling.The journal of allergy and clinical immunology. Global · 2024Article
- Beta-lactam allergy in patients: an antibiotic stewardship challenge.European journal of hospital pharmacy : science and practice · 2024Article
- Quality corner: Safely using cephalosporins in almost all patients with penicillin allergies: Mini-review and suggested protocol to improve efficacy and surgical outcomes.Gynecologic oncology reports · 2024Review
- Assessing the prevalence and characteristics of self-reported penicillin allergy in Saudi Arabian population: A nationwide cross-sectional study.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023Article
- Analysis of a beta-lactam allergy assessment protocol challenging diverse reported allergies managed by an antimicrobial stewardship program.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023Article
- Improving antimicrobial stewardship with penicillin allergy testing: a review of current practices and unmet needs.JAC-antimicrobial resistance · 2022Review
- Instruction and Simulation to Improve Pharmacy Students' Knowledge and Confidence Regarding Assessment of Penicillin Allergies.American journal of pharmaceutical education · 2022Article
- Penicillin Allergy Assessment and Skin Testing in the Outpatient Setting.Pharmacy (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The consequences of a documented penicillin allergy in the medical record are especially troublesome in acutely ill, hospitalized patients. A penicillin allergy label may lead to alternative or second line therapies resulting in adverse drug events, negative clinical outcomes and increased costs. Reconciling penicillin allergies is a necessity to facilitate early, optimal therapy and is a shared responsibility among the healthcare team. Penicillin skin testing (PST) has been utilized successfully in hospitalized patients to de-label erroneous penicillin allergies and optimize antibiotic therapy. This targeted review aims to discuss the practical development and implementation of PST in the inpatient setting. This includes a needs assessment checklist with common considerations allowing for customization to one's institution based on available personnel, time, and technological resources.
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What OpenQuestion holds
Registered trials
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.