Menopause Matters: Results of a National Survey of Rheumatoid Arthritis Patients in the UK
Bibliographic record
Abstract
BACKGROUND: The effects of the menopause have received a lot of attention in the press recently. Anecdotally, patients report changes in their arthritis around the menopause, either onset or aggravation of symptoms. Clearly, there are hormonal influences on arthritis with the female predominance, onset of RA around times of hormonal change and improvement during pregnancy. We were interested in exploring the patient perspective to inform future research and educational needs. METHOD: A national survey was organised through the National Rheumatoid Arthritis Society (NRAS), using their database of people with RA and online community who self-selected as peri menopausal, menopausal or post-menopausal. A questionnaire was developed by the steering group seeking responses on the effects of the menopause, changes in the arthritis at the time, use of hormone replacement therapy (HRT) and any discussions they had had with their healthcare providers. Free text comments were analysed qualitatively. RESULTS: A total of 779 people responded during September/October 2023. Respondents were 95% Caucasian mainly in their 50s with onset of menopausal symptoms in their 40s. 80% responded that their arthritis was worse during the menopause with 10% being much worse. 47% had taken HRT. Of these, 80% experienced an improvement in their menopausal symptoms and 30% had a moderate or large improvement in their arthritis symptoms. A standout statistic was that 93% of respondents had had no medical discussion about the menopause. For those who did, this was most frequently with the GP in relation to HRT and osteoporosis. 84% of participants felt that the rheumatology team should receive more education and training about the menopause in relation to RA. The qualitative analysis revealed several themes: Discussion about the menopause only occurred if the patient raised it. There was conflicting advice about HRT. There is overlap and confusion of symptoms between RA and the menopause. Participants expressed a perceived link between menopause and onset or deterioration of their arthritis. This study was long overdue. CONCLUSIONS: Patients perceive a strong association between the menopause and onset or deterioration of their arthritis, with confusion over what is due to arthritis and what is being caused by the menopause. Patients would like much more discussion about the menopause, but this is not currently happening. They are getting conflicting advice on HRT. Further research is necessary to clarify the impact of the menopause on people with arthritis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".