Antinuclear antibodies and progression of quantitative interstitial lung changes: The Multi-Ethnic Study of Atherosclerosis (MESA)-Lung Study
Bibliographic record
Abstract
Antinuclear antibodies (ANA) are often found in ILD; whether ANA is associated with radiographic progression of quantitive interstitial lung changes is unknown. We performed longitudinal analyses of adults in the Multi-Ethnic Study of Atherosclerosis using linear mixed effects models with random intercept and slope to evaluate whether baseline ANA was associated with change in the amount of lung with high attenuation areas on CT (HAAs, percentage of imaged lung with -600 to -250 HU). In 6,638 subjects with 17,293 CT scans over 18 years, 741 (11 %) were ANA positive. ANA was not associated with HAA progression with ANA as a dichotomous variable (0.13 % less progression per year for ANA positive vs negative, 95%CI -0.33 %-0.07 %, p = 0.19) or as a continuous variable (0.004 % less progression per year per 10 % increase in ANA, 95%CI -0.01 %-0.005 %, p = 0.37). ANA was not associated with progression of HAA in community dwelling adults.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".