Clinical genetic counselor experience in the new/expanded adoption of telehealth in the US and Canada during the COVID-19 pandemic
Bibliographic record
Abstract
This pilot study evaluated the predictive value of flow-mediated dilation (FMD) for damage accrual in a cohort of SLE patients. Thirty-eight female SLE patients without cardiovascular involvement were enrolled. Clinical history, traditional cardiovascular risk factors, laboratory parameters, disease activity and damage and brachial artery FMD were collected at study entry and after a mean follow-up of 4.5 years. At enrollment, 18 patients (47%) presented active disease; mean FMD was 7.9 ± 3.1%, with no statistically significant differences between women with active and inactive disease. During the follow-up, 3 patients died and 14 accrued organ damage. Baseline FMD did not predict death and damage accrual. FMD showed significant decline over time, which was greater in patients with poor outcome (−3.9% vs −1.9%, p = 0.03). In conclusion, in a cohort of SLE patients, baseline FMD was not predictive of damage accrual. However, the latter was associated with progressive loss of FMD.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".