Evidence map›Paper›PMID 41755974›Full record

ArticleCureus2026

Amoxicillin-Clavulanate-Induced Pityriasis Rosea: A Pharmacovigilance Case Report.

Cecil Franz, Divya Handa, Girish Joseph, Neena Bhatti, Dinesh K Badyal

Abstract readCase Reports
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Cecil FranzPharmacology, Christian Medical College & Hospital, Ludhiana, IND.
Divya HandaPharmacology, Christian Medical College & Hospital, Ludhiana, IND.
Girish JosephPharmacology, Christian Medical College & Hospital, Ludhiana, IND.
Neena BhattiPharmacology, Christian Medical College & Hospital, Ludhiana, IND.
Dinesh K BadyalPharmacology, Christian Medical College & Hospital, Ludhiana, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adverse drug reactions (ADRs) are a significant cause of morbidity and represent an important public health concern. Cutaneous adverse drug reactions (CADRs) are the most frequently encountered form of ADRs, with antibiotics being among the leading causative drug classes. Although amoxicillin-clavulanate is widely regarded as a safe and commonly prescribed antibiotic, rare and atypical cutaneous reactions may occur and pose diagnostic challenges. We report a rare case of amoxicillin-clavulanate-induced pityriasis rosea in a 34-year-old male who presented with a progressive pruritic and painful flexural rash following antibiotic therapy for an upper respiratory tract infection. The eruption was initially misdiagnosed as varicella and scabies, leading to delayed appropriate management. A dermatological evaluation established the diagnosis of drug-induced pityriasis rosea. Prompt discontinuation of the offending drug and initiation of topical corticosteroids and antihistamines resulted in complete clinical resolution. Causality assessment using the Naranjo Adverse Drug Reaction Probability Scale indicated a probable association, while severity and preventability assessments classified the reaction as moderate and probably preventable, respectively. This case highlights the importance of maintaining a high index of suspicion for drug-induced dermatoses, particularly with commonly prescribed antibiotics, and underscores the value of pharmacovigilance reporting in improving drug safety.

Indexed as

adverse cutaneous drug reactionamoxicillin–clavulanatecausality assessmentdrug-eruptionpharmacovigilance program of indiapityriasis rosea

Identifiers

PMID41755974
PMCPMC12934355

What OpenQuestion holds

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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.