MétaCan
Menu
Back to cohort
Record W2027098893 · doi:10.1136/ebm.8.4.106

Pravastatin was not better than usual care in reducing all cause mortality or CHD events

2003· article· en· W2027098893 on OpenAlexaboutno aff
Arthur T. Evans

Bibliographic record

VenueEvidence-Based Medicine · 2003
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePravastatinInternal medicineWeb of scienceCholesterolMeta-analysis

Abstract

fetched live from OpenAlex

(2002) JAMA 288, 2998. The Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT-LLT). . Major outcomes in moderately hypercholesterolemic, hypertensive patients randomized to pravastatin vs usual care. . ; . : . –3007 . [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: In older patients with well controlled hypertension and moderately elevated low density lipoprotein cholesterol (LDL-C), is pravastatin better than usual care in reducing all cause mortality and coronary heart disease (CHD) events? Randomised (allocation concealed*), unblinded,* controlled trial with mean 4.8 years of follow up (Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial [ALLHAT-LLT]). 513 clinical centres in the US, Canada, Puerto Rico, and the US Virgin Islands. 10 355 patients (mean age 66 y, 51% men) who were enrolled in the ALLHAT (age ≥55 y and stage 1 or 2 hypertension with ≥1 additional risk factor for CHD; fasting LDL-C concentration 3.1–4.9 mmol/l for those with no known CHD, or 2.6–3.3 mmol/l for those with known … [1]: {openurl}?query=rft.jtitle%253DJAMA%26rft.stitle%253DJAMA%26rft.issn%253D0002-9955%26rft.aulast%253DThe%2BALLHAT%2BOfficers%2Band%2BCoordinators%2Bfor%2Bthe%2BALLHA%26rft.auinit1%253D%2B%26rft.volume%253D288%26rft.issue%253D23%26rft.spage%253D2998%26rft.epage%253D3007%26rft.atitle%253DMajor%2BOutcomes%2Bin%2BModerately%2BHypercholesterolemic%252C%2BHypertensive%2BPatients%2BRandomized%2Bto%2BPravastatin%2Bvs%2BUsual%2BCare%253A%2BThe%2BAntihypertensive%2Band%2BLipid-Lowering%2BTreatment%2Bto%2BPrevent%2BHeart%2BAttack%2BTrial%2B%2528ALLHAT-LLT%2529%26rft_id%253Dinfo%253Adoi%252F10.1001%252Fjama.288.23.2998%26rft_id%253Dinfo%253Apmid%252F12479764%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1001/jama.288.23.2998&link_type=DOI [3]: /lookup/external-ref?access_num=12479764&link_type=MED&atom=%2Febmed%2F8%2F4%2F106.atom [4]: /lookup/external-ref?access_num=000179854200034&link_type=ISI

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Other designhigh
models splitAgreement compares identical category sets and study designs across arms.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.106
GPT teacher head0.370
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designObservational · Other design
Domainnot available
GenreEmpirical · Other

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".

Quick stats

Citations1
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueEvidence-Based MedicineSame topicLipoproteins and Cardiovascular HealthFrench-language works237,207