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Profil bibliographique

Herman Kasper Glas

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

17Publications signalées
49Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Rheumatoid Arthritis Research and TherapiesSystemic Lupus Erythematosus ResearchOsteoarthritis Treatment and MechanismsAutoimmune and Inflammatory Disorders ResearchLymphoma Diagnosis and Treatment

Les publications récentes

Accès ouvert 2026 article OpenAlex

Real-world effectiveness of tofacitinib in monotherapy or in combination with csDMARDs in patients with rheumatoid arthritis: A collaboration between Dutch registries (TOFADUDAP study)

Isabell S. Nevins, Herman Kasper Glas, Floor Reimann, Reinhard Bos et autres

OBJECTIVE: To compare real-world effectiveness of tofacitinib monotherapy to adalimumab monotherapy, and tofacitinib and adalimumab in combination with csDMARDs in Rheumatoid Arthritis (RA) subgroups. METHODS: Retrospective routine care data was used from six Dutch cohorts for RA patients who initiated tofacitinib or …

nl (code pays fourni par la source)

0 citations Clinical Rheumatology
Accès ouvert 2026 article OpenAlex

Which arthralgia patients benefit most in reduction of subclinical joint inflammation by methotrexate treatment: results from the TREAT EARLIER trial

Stijn Claassen, Quirine A Dumoulin, Herman Kasper Glas, E. Molenaar et autres

OBJECTIVES: The TREAT EARLIER trial showed in clinically suspect arthralgia (CSA) that methotrexate induced reductions in subclinical inflammation and related disease burden during the year of treatment, which was sustained thereafter. We studied whether the treatment response defined at the level of …

nl (code pays fourni par la source)

4 citations RMD Open
Accès ouvert 2025 article OpenAlex

Location and amount of joint involvement differentiates rheumatoid arthritis into different clinical subsets

Tjardo Daniël Maarseveen, Marc P. Maurits, Lavinia Agra Coletto, Simone Perniola et autres

Rheumatoid arthritis (RA) is a heterogeneous disease with variable symptoms, prognosis, and treatment response, necessitating refined patient classification. We applied multimodal deep learning and clustering to identify distinct RA phenotypes using baseline clinical data from 1,387 patients in the Leiden Rheumatology clinic. …

nl, it, gb (code pays fourni par la source)

10 citations npj Digital Medicine
Accès ouvert 2025 conference-abstract OpenAlex

POS1091 Development and Validation of ‘Rheumatic ‘ - A Digital Symptom Checker for Confirmation and Prediction of Rheumatic Diseases: A Large-Scale Prospective Study

Ling Qin, D. Selani, F. Zegers, Janak D Desai et autres

Background: The EULAR 2024-2029 European Manifesto [1] highlights a critical healthcare challenge: shortages in the rheumatology workforce threaten care provision for 120 million Europeans with rheumatic diseases (RD), which account for 10-20% of primary care consultations. Due to rheumatologist shortages and musculoskeletal …

nl, se, es, gb (code pays fourni par la source)

0 citations Annals of the Rheumatic Diseases
Accès ouvert 2025 preprint OpenAlex

Attrition and representativeness in development and validation of online symptom checkers - a case study on the Rheumatic? questionnaire (Preprint)

Floor Dijkstra Zegers, Ling Qin, Daniyal Selani, Georgy Gomon et autres

BACKGROUND Online symptom checkers are often developed and validated on data subject to self-selection and selective attrition, potentially introducing biases in prediction models. OBJECTIVE We aimed to assess the presence of biases in the Dutch Rheumatic? online questionnaire on musculoskeletal complaints by …

0 citations
Accès ouvert 2025 article OpenAlex

Improving musculoskeletal care with AI enhanced triage through data driven screening of referral letters

Tjardo Daniël Maarseveen, Herman Kasper Glas, Josien Veris-van Dieren, Erik Ben van den Akker et autres

Musculoskeletal complaints account for 30% of GP consultations, with many referred to rheumatology clinics via letters. This study developed a Machine Learning (ML) pipeline to prioritize referrals by identifying rheumatoid arthritis (RA), osteoarthritis, fibromyalgia, and patients requiring long-term care. Using 8044 referral …

nl, gb (code pays fourni par la source)

14 citations npj Digital Medicine

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