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Record W7025088558

Utilization and Costs of Laboratory Monitoring in Biological and Non-Biological Psoriasis Treatment – Large-Scale Claims Data Analysis

2025· article· en· W7025088558 on OpenAlexaff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsInstitute of Health Services and Policy Research
Fundersnot available
KeywordsPsoriasisPopulationDiseaseHealth careSystemic therapyAlternative medicineDisease managementHealth servicesEpidemiology
DOInot available

Abstract

fetched live from OpenAlex

Jan Nicolai Wagner,1 Kristina Hagenström,1 Katharina Sophia Müller,1 Brigitte Stephan,1 Matthias Augustin,1 Ralph von Kiedrowski2 1Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany; 2Dermatologische Spezial- und Schwerpunktpraxis, Dr. Ralph von Kiedrowski, Selters, GermanyCorrespondence: Jan Nicolai Wagner, Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, Hamburg, 20246, Germany, Tel +49 (0) 40 7410 52398, Fax +49 (0) 40 7410 55348, Email ja.wagner@uke.dePurpose: Psoriasis vulgaris is a chronic systemic inflammatory disease that imposes a significant physical, emotional, and social burden on affected individuals. There is a growing recognition of the importance of comprehensive monitoring and management to optimize treatment outcomes, particularly with the advent of advanced systemic therapies. This study aims to characterize the prevalence of laboratory monitoring and associated costs in persons with psoriasis undergoing systemic treatment. A specific focus was placed on the differences by treatment modality, patient characteristics, and economic burden to the payers.Patients and Methods: A retrospective longitudinal analysis was conducted using German health insurance data from the DAK-Gesundheit. The study population included persons diagnosed with psoriasis who received systemic therapies between 2016 and 2020. Laboratory service utilization and costs were assessed during the initiation and course of treatment, factoring in demographic parameters and comorbidities.Results: Among 62,063 persons with psoriasis, 8018 (12.9%) were identified as having received systemic treatment, which of 92.5% utilized at least one laboratory service. The average annual laboratory monitoring cost per person was higher for those on biologic therapies (57.88 €) compared to systemic treatments (23.70 €). Laboratory service utilization and costs were associated with the comorbidity index (CCI) and age.Conclusion: Biologic therapies for psoriasis induce considerably higher monitoring costs than non-biological systemic drugs. Age and CCI were main predictors for higher utilization of laboratory services, indicating a medical rationale to perform more lab screenings in risk groups for safety events. The laboratory costs add to the higher drug costs of biologicals but need to be related to the benefits from treatment. Furthermore, the monitoring costs are far lower than the drug costs and thus may not be major decision drivers.Keywords: psoriasis, clinical monitoring, laboratory service, health care analysis, biologics, cost analysis

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.043
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.007
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.284
GPT teacher head0.516
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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