Evidence map›Paper›PMID 42522520›Full record

ArticleDermatology online journal2026

Treatment patterns for bullous pemphigoid in older adults: A population-based study.

Abigail Katz, Hannah C Tolson, Julian A Cortes, Alyssa M Roberts, Yvonne Nong, Charlotte Y Jeong, Elaine Ma, Peichi Chou, Matthew J Yan, Nicole Johnsen and 4 more

Abstract read
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In one paragraph

Article in Dermatology online journal, 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

14 authors.

Abigail KatzIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Hannah C TolsonUniversity of Arizona College of Medicine, Phoenix, AZ, USA.
Julian A CortesUniversity of California, San Diego School of Medicine, San Diego, CA, USA.
Alyssa M RobertsUniversity of Hawaii at Manoa John A. Burns School of Medicine, Honolulu, HI, USA.
Yvonne NongDivision of Dermatology, Department of Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
Charlotte Y JeongUniversity of Arkansas for Medical Sciences College of Medicine, Little Rock, AR, USA.
Elaine MaKeck School of Medicine, University of Southern California, Los Angeles, CA.
Peichi ChouUniversity of California, Riverside School of Medicine, Riverside, CA, USA.
Matthew J YanDivision of Dermatology, Department of Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
Nicole JohnsenDivision of Dermatology, Department of Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
Camila CarranzaDivision of Dermatology, Department of Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
Vanessa R HollandDivision of Dermatology, Department of Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
Yusuke TsugawaDepartment of Health and Policy Management, Fielding School of Public Health at the University of California, Los Angeles, CA, USA.
April W ArmstrongDivision of Dermatology, Department of Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bullous pemphigoid (BP) is a chronic autoimmune blistering disease that disproportionately affects older adults and is associated with substantial morbidity, mortality, and treatment-related risks. Despite an expanding therapeutic landscape, real-world prescribing patterns in this population remain poorly characterized. Objective: To evaluate medication prescribing patterns among older adults with BP and assess the feasibility of using national claims data to characterize treatment exposures relevant to drug safety and risk stratification. Methods: We conducted a retrospective cohort study using Medicare fee-for-service claims data (2016-2020). Adults aged 65 years or older with BP were identified using ICD-10 codes. Prescription drug event data were linked to outpatient claims to capture medication use. Treatments were categorized into topical corticosteroids (by potency), oral immunomodulators and antibiotics, and biologic therapies. Descriptive analyses were performed to evaluate prescribing distributions. Results: Among 10,959 patients with BP and 78,468 outpatient claims, we identified 19,663 prescriptions. Oral immunomodulators and antibiotics comprised 67.5% of prescriptions, followed by topical corticosteroids (32.5%) and biologics (0.04%). Prednisone accounted for 62.9% of oral prescriptions, followed by doxycycline (20.2%) and mycophenolate (6.0%). Among topical steroids, medium-potency agents were most common (40.6%), followed by super high-potency (38.2%). Biologic use was rare, with dupilumab accounting for most prescriptions. Conclusion: Systemic corticosteroids remain the predominant therapy for BP in older adults, with substantial variability in topical steroid use and minimal uptake of biologics. These findings highlight gaps in treatment optimization and support the need for risk-informed, steroid-sparing strategies in this high-risk population.

Indexed as

Pemphigoid, BullousPractice Patterns, Physicians'Administration, OralAdrenal Cortex HormonesAgedAged, 80 and overAnti-Bacterial AgentsDoxycyclineFemaleHumansImmunologic FactorsImmunomodulating AgentsMaleMedicarePrednisoneRetrospective StudiesAdrenal Cortex HormonesAnti-Bacterial AgentsDoxycyclineImmunologic FactorsImmunomodulating AgentsPrednisonebullous pemphigoidelderly patientimmunobullousMedicareprescribing patterns

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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.