Back Pain in a Patient withWegener’s Granulomatosis
Bibliographic record
Abstract
We were most interested to read Prof. Pritzker's assessment of the state of research into the crystal induced arthropathies 1 .We wish to assure Prof. Pritzker and the wider rheumatology community that, rather than being a "dwindling endangered species whose interests are seen to be peripheral to those of most rheumatologists," those researchers involved in studying the crystal induced arthropathies are enthusiastic, energetic, and productive.In recent years, work in this field has led to critical advances in our understanding of the basic science and epidemiology of crystal induced arthropathies [2][3][4][5][6] .Further, the prospect of new agents to treat these diseases is cause for great enthusiasm.For management of acute crystal induced arthropathies, components of the inflammasome, and particularly interleukin 1, provide new therapeutic targets.The development of novel uratelowering therapies, such as febuxostat and PEG-uricase for treatment of chronic gout, should also have a major impact on longterm management of this prevalent disease, in preventing acute gout attacks and the consequences of chronic gout such as disfiguring tophi, joint damage, and disability 7,8 .As a reflection of the interest in gout within the rheumatology community, gout sessions have been included in the scientific programs of the 2 last EULAR annual meetings, the 2 last ACR annual meetings, and as Special Interest Groups (SIG) or Workshops in the last 3 OMERACT meetings.EULAR has recently supported a Task Force on Gout, resulting in the publication of Evidence Based Recommendations for Diagnosis and Management 9,10 , and the ACR and EULAR have funded an international project for validation of acute gout flares.The number of presentations at ACR and EULAR meetings is 10 times that of a decade ago, and the number of original papers on gout in high impact international journals now exceeds that of reviews, a situation inverse to that observed a decade ago.In addition, as the reader may observe, the group of investigators devoted to gout does not have the appearance of an endangered species (Figure 1).It is for these reasons that we do not share Prof. Pritzker's pessimistic view regarding the state of research into the crystal induced arthropathies.The number of investigators may be small, but recent progress has been significant and is likely to translate into important new treatments for patients with these diseases.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.016 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".