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Record W1826879004

Le valsartan en post-infarctus du myocarde aigu, meilleur qu’un IECA?

2004· article· fr· W1826879004 on OpenAlexaff
Diane Bolduc

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsGynecologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Patients : Âges de 18 ans et plus, 12 heures a 10 jours post-infarctus du myocarde complique de signes cliniques ou radiologiques d’insuffisance cardiaque, d’evidence de dysfonction systolique du ventricule gauche (fraction d’ejection ≤ 0,35 a l’echographie ou a l’angiographie ou ≤ 0,40 a la ventriculographie), ou les deux. Leur tension arterielle systolique devait etre > 100 mm Hg et leur creatinine serique < 221 μmol/L. Les patients avec une intolerance anterieure ou une contre-indication a un inhibiteur de l’enzyme de conversion de l’angiotensine (IECA) ou a un antagoniste des recepteurs de l’angiotensine (ARA), une maladie valvulaire significative ou toute autre condition limitant significativement l’esperance de vie etaient exclus. Interventions : Les patients admissibles a l’etude etaient repartis aleatoirement dans les trois groupes suivants : 1) monotherapie avec le VAL; 2) combinaison VAL + CAPTO; 3) monotherapie avec le CAPTO. Le traitement etait amorce avec VAL 20 mg PO BID, VAL 20 mg PO BID plus CAPTO 6,25 mg PO TID ou CAPTO 6,25 mg PO TID. Les doses etaient augmentees graduellement en quatre etapes, avec le but d’atteindre l’etape 3 (VAL 80 mg BID, VAL 40 mg BID plus CAPTO 25 mg TID ou CAPTO 25 mg TID) pendant l’hospitalisation initiale, et l’etape 4 (VAL 160 mg BID, VAL 80 mg BID plus CAPTO 50 mg TID ou CAPTO 50 mg TID) si cliniquement possible, pour la visite du troisieme mois. Les investigateurs pouvaient ajuster les doses a leur discretion selon l’etat du patient. Six visites etaient prevues pendant la premiere annee d’inclusion et a tous les quatre mois par la suite. L’etude evaluait d’abord la superiorite du VAL et de la combinaison VAL + CAPTO par rapport a celle du CAPTO seul, mais advenant que cette analyse soit negative, les chercheurs avaient prevu une evaluation de non-inferiorite du VAL par rapport au CAPTO.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.228
Teacher spread0.223 · 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

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations0
Published2004
Admission routes1
Has abstractyes

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