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Record W4391842655 · doi:10.1186/s13075-024-03282-0

Improvement in work productivity among psoriatic arthritis patients treated with biologic or targeted synthetic drugs: a systematic literature review and meta-analysis

2024· review· en· W4391842655 on OpenAlexaff
Laure Gossec, Brittany Humphries, Megan J. Rutherford, V. Taieb, D. Willems, William Tillett

Bibliographic record

VenueArthritis Research & Therapy · 2024
Typereview
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsMcMaster UniversityImpact
FundersUCB PharmaCelltrionCelgeneAmgenPfizerEli Lilly and CompanyBristol-Myers Squibb
KeywordsMedicinePresenteeismSecukinumabPsoriatic arthritisObservational studyAbsenteeismAdalimumabMeta-analysisPhysical therapyInternal medicineConfidence intervalIxekizumabWork productivityRandomized controlled trialProductivityRheumatoid arthritisPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Capacity to work is impacted by psoriatic arthritis (PsA). Our objective was to describe the course of work productivity and leisure activity in patients with PsA treated with biologic (b) and targeted synthetic (ts) disease-modifying antirheumatic drugs (DMARDs). METHODS: A systematic literature review identified all trials and observational studies published January 1, 2010-October 22, 2021, reporting work productivity using the Work Productivity and Activity Impairment Questionnaire (WPAI) in patients with PsA treated with b/tsDMARDs. Outcomes for WPAI domains (absenteeism, presenteeism, total work productivity, and activity impairment) were collected at baseline and time point closest to 24 weeks of treatment. A random effects meta-analysis of single means was conducted to calculate an overall absolute mean change from baseline for each WPAI domain. RESULTS: Twelve studies (ten randomized controlled and two observational) assessing patients treated with adalimumab, bimekizumab, guselkumab, ixekizumab, risankizumab, secukinumab, or upadacitinib were analysed. Among 3741 employed patients, overall mean baseline scores were 11.4%, 38.7%, 42.7%, and 48.9% for absenteeism, presenteeism, total work productivity impairment, and activity impairment, respectively. Estimated absolute mean improvements (95% confidence interval) to week 24 were 2.4 percentage points (%p) (0.6, 4.1), 17.8%p (16.2,19.3), 17.6%p (15.9,19.4), and 19.3%p (17.6, 21.0) respectively, leading to a mean relative improvement of 41% for total work productivity. The change in work outcomes in the b/tsDMARDs appeared similar. CONCLUSIONS: This systematic literature review and meta-analysis confirmed that patients with active PsA have a substantially reduced capacity to work and participate in leisure activities. Substantial improvements across various WPAI domains were noted after 24 weeks of b/tsDMARD treatment, especially in presenteeism, total work productivity, and activity impairment. These findings may be useful for reimbursement purposes and in the context of shared decision-making. This systematic literature review (SLR) of randomized clinical trials and observational studies of biologic (b) and targeted synthetic (ts) disease-modifying antirheumatic drugs b/tsDMARDs in patients with PsA found that at treatment introduction, patients presented with a 42.7% mean productivity loss per week as assessed by the Work Productivity and Activity Impairment (WPAI) Questionnaire. Through a meta-analysis comparing before/after values without adjustment for placebo response, we found that after 24 weeks of treatment with b/tsDMARDs, there was a mean absolute improvement of 17.6 percentage points and a mean relative improvement of 41% in total work productivity, with similar magnitudes of improvement in time spent at work and regular activities outside of work. These results provide clinical-, regulatory- and reimbursement decision-makers with data on the potential societal and socio-economic benefits of b/tsDMARDs in PsA.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.544
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0110.002
Bibliometrics0.0020.008
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.070
GPT teacher head0.366
Teacher spread0.296 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations10
Published2024
Admission routes1
Has abstractyes

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