SATURN MRI: study protocol for the statin use in intracerebral hemorrhage patients MRI ancillary study
Bibliographic record
Abstract
Abstract Background The benefit-risk of statins in patients with lobar intracerebral hemorrhage (ICH) is under investigation in the StATins Use in intRacerebral hemorrhage patieNts (SATURN) trial. The relationship between statin use in ICH survivors, MRI markers of cerebral small vessel disease (CSVD), and outcomes such as recurrent ICH or major adverse cardiovascular or cerebrovascular events (MACCE) is unclear. The ancillary study, SATURN-MRI, intends to evaluate the interrelationship between statin use, the progression of MRI markers of CSVD, and cognitive and functional outcomes. Additionally, SATURN-MRI aims to assess whether baseline MRI markers of CSVD interact with statin continuation for the outcomes of recurrent ICH or MACCE in patients with lobar ICH. Methods A target of 894 SATURN participants will undergo a baseline MRI within 7 days of randomization and a repeat MRI at the end of the 24-month follow-up period. Any SATURN subject without contraindication to MRI has the option to participate in SATURN MRI. MRIs will be reviewed by blinded central raters to assess for the presence and burden of markers of CSVD and their progression. The primary outcome is new cerebral microbleeds and/or sulci with cortical superficial siderosis identified on T2*-weighted (GRE, SWI or SWAN) images between baseline and end-study MRI. Additional outcomes include the progression of white matter hyperintensity and incidence of covert infarcts. Discussion The results will provide insights about the interrelationship between the effects of statins, progression of MRI markers of CSVD, and functional and cognitive outcomes. They might lead to the validation of MRI markers as tools to assist with individualized decision-making regarding the effects of statins continuation/discontinuation in patients with lobar ICH. Trial registration ClinicalTrials.gov NCT03936361. SATURN Trial was originally registered on May 1, 2019 and modified on February 28, 2022.
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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 | 0.022 | 0.020 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.082 | 0.025 |
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".