MétaCan
Menu
Back to cohort

Employment and work disability in rheumatoid arthritis

2004· review· en· W2010220653 on OpenAlexaff
Catherine L. Backman

Bibliographic record

VenueCurrent Opinion in Rheumatology · 2004
Typereview
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsUniversity of British ColumbiaArthritis Research Centre of Canada
Fundersnot available
KeywordsMedicineRheumatoid arthritisWork (physics)Physical therapyPhysical medicine and rehabilitationInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: The cost of work disability due to rheumatoid arthritis is substantial to both individuals and society. Approximately one third of people with rheumatoid arthritis will leave employment prematurely. Several studies over the past two decades have identified risk factors for work disability, and recent literature suggests increasing interest in ways to assess work limitations and offer interventions to prevent work loss. RECENT FINDINGS: Work disability results from a complex interaction of characteristics of individuals, the nature of their work, and their environment, including the physical workplace, policies related to work accommodation, and interpersonal relationships. Practitioners need tools to help identify patients experiencing limitations in the workplace and at risk for permanent work disability. Two new tools show promise in this area. Although there is general agreement that vocational assessment and intervention should occur early in the course of rheumatoid arthritis, evidence for vocational rehabilitation is sadly lacking. A recent systematic review identified only six studies, all uncontrolled, but suggestive of beneficial effects. SUMMARY: Assessment of possible work limitations and potential for vocational rehabilitation should be considered in the evaluation of employed patients and those wishing to work. Further development and evaluation of work retention and return-to-work programs for people with rheumatoid arthritis is required.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.903
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.071
GPT teacher head0.390
Teacher spread0.319 · 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 designOther design
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

Citations87
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueCurrent Opinion in RheumatologySame topicRheumatoid Arthritis Research and TherapiesFrench-language works237,207