Pulmonary arterial hypertension screening of systemic sclerosis patients in clinical practice: an independent chart review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Patients with systemic sclerosis (SSc) are at increased risk of pulmonary arterial hypertension (PAH). Guidelines recommend annual screening with pulmonary function testing (PFT) and transthoracic echocardiogram (TTE). Through auditing the charts of 11 rheumatologists associated with McMaster University, we evaluated the proportion of SSc patients without PAH or pulmonary fibrosis who receive annual TTE, PFT, and dyspnea screening. Screening rates between self-identified SSc experts and non-experts were compared. In cases where screening tests were abnormal, charts were reviewed for evidence of cardiologist or respirologist referral. In total, 136 patients’ charts were included. Annual screening for dyspnea was very common (88% of patients, 119/134). Annual PAH screening via TTE (74%, 100/135) and PFT (79%, 107/136) was less common. Annual dyspnea screening, TTE, and PFT were more commonly performed by SSc experts than by non-experts (94% vs. 83%, p = 0.03; 85% vs. 61%, p = 0.002; 93% vs. 62%, p<0.001, respectively). Nearly all patients with an abnormal TTE (10/11, 91%) and PFT (12/14, 86%) received appropriate referrals. Future research should explore reasons for differences in screening rates between SSc experts and non-experts. Given that rheumatologists screen for dyspnea more often than they order PFT and TTE, there may be barriers to ordering these tests that warrant further investigation.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it