Real world data in rheumatology

A scoping review on quality assessment tools used in systematic reviews and meta-analysis of real-world studies

Risk of bias tools is important in identifying inherent methodical flaws and for generating evidence in studies involving systematic reviews (SRs) and meta-analyses (MAs), hence the need for sensitive and study-specific tools. This study aimed to review quality assessment (QA) tools used in SRs and MAs involving real-world data. Electronic databases involving PubMed, Allied and Complementary Medicine Database, Cumulated Index to Nursing and Allied Health Literature, and MEDLINE were searched for SRs and MAs involving real-world data. Search was delimited to articles published in English, and between inception to 20 of November 2022 following the SRs and MAs extension for scoping checklist. Sixteen articles on real-world data published between 2016 and 2021 that reported their methodological quality met the inclusion criteria. Seven of these articles were observational studies, while the others were of interventional type. Overall, 16 QA tools were identified. Except one, all the QA tools employed in SRs and MAs involving real-world data are generic, and only three of these were validated. Generic QA tools are mostly used for real-world data SRs and MAs, while no validated and reliable specific tool currently exist. Thus, there is need for a standardized and specific QA tool of SRs and MAs for real-world data.

Effectiveness of anti-interleukin-23 therapy in psoriatic arthritis: A pilot prospective real-world study

AIM

This study aimed to show the effectiveness of interleukin (IL)-23 inhibitors in psoriatic arthritis (PsA) at weeks 12 and 24 in a real-world setting.

MATERIALS AND METHODS

Forty-three patients with active PsA were enrolled in this study. These patients were treated with either guselkumab (n = 20) or risankizumab (n = 23). Treatment responses at the 12th and 24th weeks were evaluated with the parameters of the number of joints with active arthritis, Psoriasis Area Severity Index (PASI) response rate, Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) score, Disease Activity Index for Psoriatic Arthritis (DAPSA) score, and C-reactive protein (CRP) value. The study's primary endpoint was BASDAI ≤ 4 and DAPSA ≤ 14 at week 24, and the secondary endpoint was the absence of joints with clinically active arthritis signs at week 24.

RESULTS

IL-23 inhibition significantly improved all treatment response parameters at the 12th and 24th weeks (P < 0.001). While 90% of patients reached the primary endpoint with anti-IL23 therapy, 74% achieved the secondary endpoint. Both biologic-naïve and biologic-experienced patients responded significantly to anti-IL-23 therapy. Also, no adverse events related to anti-IL-23 agents were observed.

CONCLUSIONS

The response parameters indicating the severity of PsA (the number of joints with active arthritis, BASDAI score, DAPSA score, and CRP value) and a parameter indicating the severity of skin involvement, that is, PASI score, significantly improved with anti-IL-23 therapy at weeks 12 and 24. Moreover, significant improvement was achieved at week 24 compared to week 12 in all response parameters.

Digital health, big data and smart technologies for the care of patients with systemic autoimmune diseases: Where do we stand?

The past decade has seen tremendous development in digital health, including in innovative new technologies such as Electronic Health Records, telemedicine, virtual visits, wearable technology and sophisticated analytical tools such as artificial intelligence (AI) and machine learning for the deep-integration of big data. In the field of rare connective tissue diseases (rCTDs), these opportunities include increased access to scarce and remote expertise, improved patient monitoring, increased participation and therapeutic adherence, better patient outcomes and patient empowerment. In this review, we discuss opportunities and key-barriers to improve application of digital health technologies in the field of autoimmune diseases. We also describe what could be the fully digital pathway of rCTD patients. Smart technologies can be used to provide real-world evidence about the natural history of rCTDs, to determine real-life drug utilization, advanced efficacy and safety data for rare diseases and highlight significant unmet needs. Yet, digitalization remains one of the most challenging issues faced by rCTD patients, their physicians and healthcare systems. Digital health technologies offer enormous potential to improve autoimmune rCTD care but this potential has so far been largely unrealized due to those significant obstacles. The need for robust assessments of the efficacy, affordability and scalability of AI in the context of digital health is crucial to improve the care of patients with rare autoimmune diseases.