Interstitial lung disease associated with drug therapy
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
Drug-associated interstitial lung disease (ILD) is not uncommon, with diverse patterns ranging from benign infiltrates to the potentially fatal acute respiratory distress syndrome. As acute respiratory failure due to drug-associated ILD has an unpredictable onset and rapid time course, establishing a diagnosis is often difficult. An accurate diagnosis is based on clinical, radiological (including high-resolution computed tomography) and histological manifestations, although is often only possible by exclusion. Cancer chemotherapy is commonly associated with acute disease that, on pathology, is often diffuse alveolar damage. Furthermore, a combination of drugs with or without radiotherapy can increase the risk of ILD. This article reviews treatments for non-small-cell lung cancer (NSCLC) that are associated with the development of ILD and how systematic evaluation of the possible role of these drugs in ILD is warranted. A difference between Japan and the rest of the world in reporting rates of ILD when gefitinib ('Iressa') has been used in advanced NSCLC is also discussed. However, the difference remains unexplained, leaving important epidemiological and mechanistic questions.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 |
| 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