Evidence map›Paper›PMID 41772959›Full record

ArticleClinical transplantation2026

The Clinical Impact of Antibiotic Allergy Labels on One-Year Outcomes of Solid Organ Transplant Recipients.

Sashi Niranjan Nair, Paul Bigliardi, Lauren Fontana

Abstract read
In one paragraph

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

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

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

3 authors.

Sashi Niranjan NairDivision of Infectious Diseases, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-9507-1113
Paul BigliardiDivision of Dermato-Allergy, Department of Dermatology, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
Lauren FontanaDivision of Infectious Diseases, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-6931-2198

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic allergy labels (AALs) are common and often incorrect. They have many potential impacts, including the use of broader-spectrum antibiotics and suboptimal treatment of infections. The impact of inaccurate allergy labels on post-transplant outcomes in the solid organ transplant population is not well described. We performed a retrospective review of 2,373 consecutive solid organ transplants occurring between 2011 and 2021, to analyze the impact of AALs, specifically penicillin, on outcomes in the first year after transplantation. Three hundred and twenty-two patients (13.6%) had a penicillin allergy label, while 572 patients (24%) had at least one antibiotic allergy label. Patients with a penicillin allergy label were more likely to have a positive Clostridioides difficile test (p = 0.021). Patients with allergy labels also had significantly more utilization of alternative antimicrobial agents (p < 0.001) and longer inpatient hospital durations (p = 0.013). This study suggests that AALs may be a risk factor for inferior outcomes after solid organ transplantation and could represent a modifiable target for pre-transplant optimization.

Indexed as

Anti-Bacterial AgentsDrug HypersensitivityGraft RejectionOrgan TransplantationPostoperative ComplicationsTransplant RecipientsAdultAgedFemaleFollow-Up StudiesGraft SurvivalHumansMaleMiddle AgedPrognosisRetrospective StudiesAnti-Bacterial Agentsanti‐bacterial agentsClostridiumhypersensitivityorgan transplantation

Identifiers

PMID41772959
PMCPMC12954437

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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.