Enhancing Equity in Clinical Research: A Multifaceted Proposal for Spondyloarthritis
Bibliographic record
Abstract
Clinical research advances medical knowledge and improves healthcare outcomes. However, disparities in research participation hinder progress. The Unmet Research Needs in Spondyloarthritis Conference IV highlighted critical insights and strategies to enhance equity in clinical research. Talks focused on engaging underrepresented communities and addressing disparities in rheumatic diseases, particularly spondyloarthritis (SpA), to ensure research results are generalizable and inclusive. Disparities in SpA management, such as greater back pain severity among Black and Hispanic Americans and sex-based differences in pain management, emphasize the need for equitable research. Dr. Elizabeth Ferucci discussed the racial disparities in rheumatologic care, highlighting the importance of early access to rheumatologists and culturally informed primary care to improve outcomes. Dr. Hani El-Gabalawy's talk on engaging Indigenous communities stressed the importance of community consent and reciprocal benefits. Dr. Sarfaraz Hasni's presentation on mitigating disparities in research participation underscored the need for inclusive practices and strategies to promote diverse representation. Finally, Dr. Edith Williams emphasized institutional approaches to fostering equity, including diverse recruitment practices and institutional review board alignment with diversity priorities. Strategies to enhance equity in clinical research include community engagement, addressing logistical barriers to participation, and ensuring diverse research teams. These approaches can dismantle barriers for underrepresented communities, making research more accessible and reflective of the broader population. The SpA research community must commit to creating structures that foster inclusivity, ensuring medical advancements benefit all populations, especially historically underrepresented groups. The principles and strategies proposed serve as a roadmap for achieving equity in SpA research.
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 | 0.166 | 0.145 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.006 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.017 | 0.057 |
| Scholarly communication | 0.030 | 0.043 |
| Open science | 0.006 | 0.035 |
| Research integrity | 0.049 | 0.067 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".