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Record W1981726840 · doi:10.1016/j.nephro.2009.10.003

La pharmacopée de prévention cardiovasculaire est-elle sous-utilisée chez les patients souffrant d’insuffisance rénale chronique après un infarctus du myocarde ?

2010· review· fr· W1981726840 on OpenAlexaff
Héloïse Cardinal, François Madore

Bibliographic record

VenueNéphrologie & Thérapeutique · 2010
Typereview
Languagefr
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsHôpital du Sacré-Cœur de MontréalMcGill University Health CentreCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

L’insuffisance rénale chronique (IRC) est étroitement associée avec le risque cardiovasculaire. En effet, les patients souffrant d’IRC ont un risque élevé de récidive d’évènements cardiovasculaires après un épisode d’infarctus du myocarde (IM), et ce, même lorsque la présence de facteurs de risque est prise en considération. Certains travaux rapportent une sous-utilisation de thérapies comme la thrombolyse et la revascularisation lors d’un IM aigu chez les patients qui ont une maladie rénale. Nous avons réalisé une revue systématique de la littérature médicale afin de voir s’il y a également une sous-utilisation de la pharmacopée de prévention secondaire (aspirine, bêtabloquants, inhibiteurs de l’enzyme de conversion de l’angiotensine et hypolipémiants) après un épisode d’IM chez les patients souffrant d’IRC. Nous retenons qu’il existe en effet une sous-utilisation rapportée de cette pharmacopée chez les sujets dont la fonction rénale est altérée. La présence de comorbidité et de co-traitements dont les effets n’ont pas été pris en considération ainsi que l’absence de données probantes sur l’efficacité des thérapies de prévention secondaire spécifiquement chez les sujets souffrant d’IRC peuvent certainement expliquer une partie des différences observées dans l’utilisation des médicaments. Il est cependant encourageant d’observer que les études plus récentes démontrent que les écarts observés quant à l’utilisation de la pharmacopée de prévention secondaire en fonction de la présence d’IRC s’amenuisent dans le temps. Cela reflète possiblement une meilleure appréciation du risque cardiovasculaire relié à l’IRC dans le corps médical. Chronic kidney disease (CKD) is strongly associated with cardiovascular disease. After a myocardial infarction (MI), the risk of recurrent events is much higher in subjects suffering from CKD, even when traditional risk factors are taken into account. Some data suggest that thrombolysis and coronary revascularization are underused during acute MI episodes in subjects who suffer from CKD. We performed a systematic review of the medical literature to ascertain whether there is also a CKD-associated decrease in the use of cardioprotective medications (aspirin, beta-blockers, ACE inhibitors and lipid lowering drugs) after a MI. We did observe a CKD-associated underuse of these medications in this particular clinical context. The presence of co-morbidities and co-treatments, as well as the relative lack of evidence-based data on the efficacy of cardiopreventive drugs in patients with CKD probably explain much of the reported therapeutic differences. However, recent studies show that the differences in cardioprotective drug use across levels of kidney function tend to diminish over the years. This probably reflects a greater awareness of the high cardiovascular risk associated with CKD amongst clinicians caring for these patients.

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)0.003
metaresearch head score (Gemma)0.012
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: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.050
GPT teacher head0.296
Teacher spread0.246 · 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
GenreReview

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

Citations3
Published2010
Admission routes1
Has abstractyes

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