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Enregistrement W1528484246 · doi:10.1111/j.1742-1241.2010.02614.x

Cardiovascular disease and the seeds of innovation: a call for papers

2011· paratext· en· W1528484246 sur OpenAlex
Anthony S. Wierzbicki

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Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

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Notice bibliographique

RevueInternational Journal of Clinical Practice · 2011
Typeparatext
Langueen
DomaineMedicine
ThématiqueBiotechnology and Related Fields
Établissements canadiensSt. Thomas Hospital
Organismes subventionnairesnon disponible
Mots-clésMedicineClinical trialAuditTranslational researchGovernment (linguistics)DiseaseIntensive care medicinePublic relationsInternal medicineManagementPathology

Résumé

récupéré en direct d'OpenAlex

The 25th anniversary of the publication of the Scandinavian Simvastatin Survival Study (4S) is approaching. In these 25 years, the management of cardiovascular disease (CVD) risk has been revolutionised by landmark trials such as 4S, Hypertension Optimal Treatment, Steno-2 and lately by audits of performance such as the EuroASPIRE series. Many in government think that CVD is done and that we can now safely transfer the focus to cancer and dementia. However, that is not the case – we still have challenges in heart failure and acute coronary syndromes where event rates even after optimal therapy remain stubbornly high. The large trials of novel antithrombotics and new heart failure therapies will undoubtedly help fill these gaps. So what should a clinical practice journal be publishing? The great international research groups do translational science and large scale trials and increasingly meta-analyses. However, as a member of guidelines committees I know only too well that the evidence base for established therapies is often partial and weak. We rely on cohort studies and small randomised trials to try and define efficacy and safety in many niches which are too small to bother the industrial marketers but nevertheless comprise significant parts of our routine clinical practice. The academic promotions industry is too focused on grant income, large trials and impact factors at the expense of clinical science. You do not get promoted anymore for simply following your curiosity and asking simple questions. This does not build research groups within 3–5 years planning horizons. Far better to jump on the latest band-waggon – actually last week’s one, usually. Yet clinicians want answers to simple questions. Do our therapies work- and if so in which groups? Are they safe- and what are the confounders of safety analyses? What is the uptake and adherence to therapy in secondary care and primary care and how does it vary? Can you design large scale implementation programmes and if so what are the effects of giving information to clinicians or patients? Is there really added value to fancy computer programmes and web-sites? Do point-of-care assays really reduce admissions or save money as compared to laboratory systems? Do extra tests add value or just confuse? There is no drug company money in clinical research involving older drugs but many have never been tested or compared in properly designed randomised trials even of surrogate outcomes. We need data of this kind. The age of the mega-trial is coming to an end- they are simply too expensive. Modern technology offers the ability to do small trials on surrogate markers- carotid IMT, atherosclerotic plaque volume, liver fat that can actually answer questions about the clinical utility of many of the older (and newer) therapies especially when used in combination as is increasingly the case. Well-designed observational studies also have a place. It is possible with the aid of some simple regional collaboration, the use of computers and spreadsheets to establish cohort databases, plan comprehensive but relevant investigation protocols and audit their effects on surrogate outcomes or even events. It is also cheap and the information is useful to confirm the results of the larger trials or even more to show their limitations. The academic world always works in cycles. At the moment, mega-trials, meta-analyses and genetics are everything and CVD is yesterday’s news. The seeds of the next round of innovation are being sown now. The results of these small speculative studies will not get published in the major journals. They are too conservative to take the risk on innovation except where vastly expensive ‘translational’ technology is concerned. It is in journals such as the International Journal of Clinical Practice that radical approaches will first surface. As they will be poorly funded they will often be flawed and inadequate but none the less interesting to those that wish to see the future. We will endeavour to publish those studies and write editorials on their significance. None.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,021
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Intégrité de la recherche
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,531
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,021
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,062
Tête enseignante GPT0,415
Écart entre enseignants0,353 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle