The prevalence of pain and disability one year post fracture of the distal radius in a UK population: A cross sectional survey
Bibliographic record
Abstract
BACKGROUND: A fracture of the distal radius is a commonly occurring fracture and accounts for a third of all fractures in the elderly. Thus far, one year estimates of pain and disability following a fracture of the distal radius have been reported on Canadian populations. The primary aim of this study is to investigate the prevalence of pain and disability in a UK population one year post fracture of the distal radius. METHODS: A cross-sectional survey was undertaken, of all subjects suffering a fracture of the distal radius between October 2005 and February 2006 in Nottingham, UK. Primary outcomes used were the VAS for pain and the DASH for disability. Prevalence of pain and disability were calculated and odds ratios presented for associations between demographics, pain and disability. RESULTS: 93/264 (35%) subjects responded to the questionnaire. 6 subjects did not fulfill the inclusion criteria and were excluded from further analysis. 11% of subjects reported moderate to very severe pain. 16% of subjects reported moderate to very severe disability. Statistically significant associations were found between pain medication usage for the wrist fracture and moderate to very severe pain (OR 11.20, 95% CI 2.05 - 61.23). Moderate to very severe disability was associated with older age (OR 6.53, 95%CI 1.65 - 25.90) and pain medication usage for the wrist fracture (OR 4.75, 95% CI 1.38 - 16.37). Working was associated with a reduction in risk of moderate to very severe disability (OR 0.14, 95% CI 0.03 - 0.67). CONCLUSION: This study demonstrates that there are a small proportion of patients who are still suffering moderate to very severe pain and disability one year post fracture of the distal radius. The study also demonstrates that there are significant associations between characteristics of the patients and the level of pain and disability. This highlights the need for further research into the most appropriate management of these patients in order to reduce this burden of pain and disability, particularly as this is a predominantly elderly patient group.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".