P202 Impact of ‘moderate' active RA on patient lives
Bibliographic record
Abstract
Abstract Background/Aims The objective of this survey was to highlight the everyday impact of living with active Rheumatoid Arthritis for people not meeting the eligibility criteria (pre-July 2021), to be treated with advanced therapies. Methods NRAS wanted to reach people living with RA for more than 2 years but not being treated with any advanced therapies with a national survey to gauge if they had active disease that was not well controlled and the impact of that active disease on their lives. The survey was designed to capture demographics, current treatment, frequency of RA flares, impact of disease (utilising the validated tool of RAID) as well as work status and restrictions on lifestyle. The national online survey was distributed via all NRAS social media platforms as well as email. Results 612 responses from across the UK with a mean age of 59 years were gathered. 88% were female and 37.7% had a disease duration of 2-5 years with a further 27.9% with disease duration of 5-10 years. 90% declared having RA flare in the previous 12 months with 23% reporting having had six or more flares within the year. A total RAID score was calculated for 611 respondents. A RAID patient acceptable state was recorded in only 12.4%. 74.3% scored sleep problems and 72% fatigue in the high range. Working hours alteration was reported by 70% of respondent. The RAID scores were significantly predictive of number of flares. Conclusion Patients not currently treated with biologics/biosimilars or targeted synthetic DMARDs experience profound difficulties affecting their health, emotional state, work and families. NRAS advocate that patient reported measures be used to facilitate holistic care, addressing inflammation and other consequences of RA on everyday life. Since this piece of work was carried out the threshold for accessing some advanced therapies has been lowered by NICE meaning that in England and Wales many of these people will now have access to being treated on an advanced therapy however there still exists issues in Scotland and Northern Ireland in being able to offer such treatments to those with RA disease activity score of less than 5.1 as well as cost barriers. Disclosure C. Jacklin: None. E. Nikiphorou: None. P. Kiely: None. H. Jacklin: None. A. Bosworth: None.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".