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Enregistrement W4248192047 · doi:10.1213/ane.0000000000002035

In Response

2017· letter· en· W4248192047 sur OpenAlex

Pourquoi ce travail est dans la base

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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aboutLe titre ou le résumé porte un signal canadien du lexique géographique.

Notice bibliographique

RevueAnesthesia & Analgesia · 2017
Typeletter
Langueen
DomaineComputer Science
ThématiqueText Readability and Simplification
Établissements canadiensSt. Paul's HospitalUniversity of TorontoUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésMedicineThe InternetService (business)Internet privacyPublic relationsMedical educationWorld Wide WebMarketingPolitical scienceComputer science

Résumé

récupéré en direct d'OpenAlex

We thank Van Zundert et al1 for their letter elaborating on our recent publication that identified the inaccurate and out-of-date recommendations on preoperative fasting provided in many Internet sources.2 Van Zundert et al1 acknowledge that the Internet includes abundant health-related websites that present incomplete or incorrect data using overly complex language, thus making it difficult for patients to obtain appropriate information. The authors appropriately state that a comprehensive, patient-targeted, open-access, up-to-date Internet resource is needed, and advocate for a “Wiki-Anesthesia” of vetted information. We agree that there is a pressing need to create and promote reliable online sources of medical information; however, previous attempts at “wiki-style” collaboratively edited medical websites have met with mixed success, and many are no longer functional.3 For example, WikiSurgery (www.wikisurgery.com), an initiative supported by the International Journal of Surgery, was launched in 2006, but is no longer functional. AskDrWiki (www.askdrwiki.com) was also launched in 2006, but has experienced poor traffic and has had minimal updates in the past 2 years. Medpedia was a higher-profile website that ceased operations in 2013 after 6 years of existence, despite millions of dollars in funding and support from many top-ranking universities, the American College of Physicians, and the United Kingdom National Health Service.3 Reasons proposed for the lack of success of Medpedia include a paucity of topical breadth, insufficient depth of available topics, and, perhaps most important, poor visibility. Other websites have had modest success, but they are primarily aimed at health care professionals and frequently focus on a single medical specialty (eg, Radiopaedia, WikiDoc, WikEM). A successful patient-directed, health-related website needs to be accurate, understandable, freely accessible, and highly visible. A wiki-type approach has the potential to satisfy all of these features; however, we suggest that Wikipedia itself has the greatest potential for success as the future platform for crowd-sourced information in anesthesiology and other health care areas. Wikipedia is highly visible and already the leading source of health care information for both patients and physicians. Websites on medical topics are generally of moderate to good quality.4 We have searched Wikipedia additionally for information on several topics of interest to patients undergoing anesthesia (Table), finding that these pages are accurate and current; however, they use language that corresponds to a college reading level.Table.: Wikipedia Websites for Selected Anesthesia-Related TopicsThe Wikipedia platform is already reasonably accurate and frequently visited by both patients and physicians, although with room for improvement in readability and gaps in some specific areas of interest to patients (eg, postoperative pain is addressed only briefly within larger and more general text on pain). These relative deficiencies are easily fixed, in part by encouraging greater contribution from experts to identify and address gaps in the current content, with additional editing to ensure appropriate readability for a patient resource. Rather than to add to the vast array of medical websites, we believe we should instead strive to improve upon existing websites such as Wikipedia, which has already established itself as a comprehensive, accurate, and easily accessible Internet resource for many health-related topics. Alana M. Flexman, MDTaren Roughead, BScDepartment of Anesthesiology, Pharmacology,and TherapeuticsUniversity of British ColumbiaBritish Columbia, Canada Jolene H. Fisher, MDDivision of Respirology, Department of MedicineUniversity of TorontoOntario, Canada Darreul Sewell, MBChBDepartment of NeuroanaesthesiaNational Hospital of Neurology and NeurosurgeryUniversity College London HospitalsQueens Square, London, United Kingdom Christopher J. Ryerson, MD, MASDivision of Respirology, Department of Medicine, Centre forHeart Lung Innovation, University of British ColumbiaBritish Columbia, Canada

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,047
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0030,000
Intégrité de la recherche0,0010,001
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 Opus0,022
Tête enseignante GPT0,266
Écart entre enseignants0,244 · 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