Prevalence of Systemic Sclerosis in Primary Biliary Cholangitis Using the New ACR/EULAR Classification Criteria
Bibliographic record
Abstract
OBJECTIVE: Systemic sclerosis (SSc) is a well-established disease associated with primary biliary cholangitis (PBC). However, the original 1980 American College of Rheumatology (ACR) criteria have poor sensitivity, especially for the detection of earlier SSc in previous studies. The objective was to evaluate the prevalence of SSc in patients with PBC using more sensitive 2001 LeRoy and Medsger criteria and the 2013 ACR/European League Against Rheumatism (EULAR) classification criteria. The secondary objective was to evaluate the frequency of individual clinical features. METHODS: One hundred consecutive patients with PBC without previously diagnosed SSc were recruited between 2005 and 2007 from a tertiary care gastroenterology clinic. All patients underwent a complete clinical examination, determination of SSc-specific antibodies, and a nailfold capillary microscopy. Fulfillment of the 3 different criteria sets was analyzed, along with individual disease features. RESULTS: Of 100 patients with PBC, 1% met the ACR 1980 criteria, 22% met the 2001 LeRoy and Medsger criteria for early SSc, and 17% the 2013 ACR/EULAR criteria. Raynaud phenomenon, SSc-related antibodies, and SSc capillaroscopic patterns were the most prevalent findings, with the highest sensitivities to help guide future screening. CONCLUSION: Our data show a high prevalence of SSc in patients with PBC with probable underestimation by previous studies using the original ACR criteria. Comorbid SSc should be actively searched for based on newly described criteria to improve detection and increase benefits of earlier treatment.
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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".