Plain language summary of the updated results from the CROWN study comparing lorlatinib with crizotinib in people with advanced non-small-cell lung cancer
Bibliographic record
Abstract
What is this summary about? This summary shows the updated results of an ongoing research study called CROWN that was published in The Lancet Respiratory Medicine in December 2022. In the CROWN study, researchers looked at the effects of two study medicines called lorlatinib and crizotinib. The study included people with advanced non-small-cell lung cancer (NSCLC) that had not been treated previously. All people in the study had cancer cells with changes (known as alterations) in a gene called anaplastic lymphoma kinase, or ALK. This ALK gene is involved in cancer growth. In this updated study, researchers looked at the continued benefit in people who took lorlatinib compared with people who took crizotinib after 3 years.What did this study find? After 3 years of being observed, people who took lorlatinib were more likely to be alive without their cancer getting worse than people who took crizotinib. At 3 years, 64% of people who took lorlatinib were alive without their cancer getting worse compared with 19% of people who took crizotinib. The cancer was less likely to have spread within or to the brain in people who took lorlatinib than in people who took crizotinib. After 3 years of being observed, 61% of people were still taking lorlatinib and 8% of people were still taking crizotinib. People who took lorlatinib had more severe side effects than people who took crizotinib. However, these side effects were manageable. The most common side effects with lorlatinib were high levels of cholesterol or high levels of triglycerides (a type of fat) in the blood. Life-threatening side effects were seen in 13% of people who took lorlatinib and 8% in crizotinib. Two people who took lorlatinib died because of side effects from lorlatinib.What do the results of the study mean? The updated results from the CROWN study showed that a larger percentage of people who took lorlatinib continued to benefit from their treatment after being observed for 3 years compared with those who took crizotinib.This is an abstract of the Plain Language Summary of Publication article. To read the full Plain Language Summary of this article, click here to view the PDF.Link to original article here
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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 | 0.010 | 0.071 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.008 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.074 | 0.020 |
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".