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Enregistrement W4205092948 · doi:10.1213/ane.0000000000003933

Handbook of Sepsis

2018· article· en· W4205092948 sur OpenAlexaffabout
Vatsal Trivedi, Manoj M. Lalu

Notice bibliographique

RevueAnesthesia & Analgesia · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueSepsis Diagnosis and Treatment
Établissements canadiensOttawa HospitalUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésMedicineIntensive care medicineSepsisPresentation (obstetrics)Section (typography)CasualEngineering ethicsImmunologySurgeryComputer scienceLaw

Résumé

récupéré en direct d'OpenAlex

Editors Wiersinga and Seymour provide an aptly named Handbook of Sepsis: a compact and concise review of this common presentation. The Handbook, which can be mistaken for a novel on first glance, reads as such. It differs from the average critical care textbook with its casual inviting appearance, and yet provides a comprehensive review of multiple topics in sepsis care. The book is divided into 4 major sections, which comprise a total of 16 chapters by 36 international authors. The first of the 4 sections is an overview of sepsis, which includes a discussion of its historical and contemporary understanding, as well as a review on the epidemiological considerations. Long-recognized issues such as culture-negative sepsis are appropriately summarized. The second section focuses on important pathogenetic mechanisms, with topics including coagulopathy of sepsis, metabolic sequelae, and important biomarkers. These chapters are brief, appropriately focused, and provide an excellent overview of current understanding of these topics. The few included figures and tables were clear and complemented the text well. The majority of the book focuses on the third section: sepsis management. Chapters are devoted to topics including consensus guidelines, fluid therapy, vasopressor therapy, multiorgan failure, pathogen control, relevant antimicrobial therapy, and immunotherapy. Discussion of these management techniques includes a review of landmark studies that guide international standards of care, as well as a review of areas of academic equipoise (eg, choice of fluids for resuscitation). The final section elaborates on future directions in sepsis research and management. The authors provide the reader with a review of sepsis-specific trial design and research, considerations for low- or middle-income countries, and a brief chapter on future management trends to close (eg, precision medicine). The book has several strengths, such as a diverse authorship. These include internationally renowned thought leaders in sepsis such as Jean-Louis Vincent, Derek Angus, and Flavia Machado. Importantly, the authors have mostly contributed to chapters of which they have recognized content expertise, for example, Dr Derek Angus on trial design in sepsis research. Another strength is the balanced focus between knowledge that is immediately clinically relevant, and a basic science understanding of these principles that make the foundation of sepsis care. Ultimately, a scientific rationale for specific sepsis management therapy is center stage. This is truly where the Handbook shines: the science (from bench-to-bedside) presented is comprehensive without alienating nonmethods experts. It makes efforts to explain the science behind sepsis with chapters on clinical guidelines development as well as the previously mentioned trial designs section. While the book presents with multiple strengths, we believe that its title may not accurately depict its content. The Handbook reads very easily, however, unlike typical clinical handbooks, there is a relative deficiency of salient clinical pearls that may be applied at the bedside. These can be found embedded as nuggets of clinical nuance within the text, but having these summarized or immediately visible would be of value to the bedside clinician reading this text. Overall, this book provides the reader with the context on which sepsis care has been built, a review of current management, as well as a discussion of future trends. It would be a welcomed addition to a bookshelf of any trainee, health professional, or basic/clinical researcher who seek to immerse themselves into this complex and well-studied disease entity. It is concise and lends itself as an excellent, yet intimate, introduction into this vast topic area. Vatsal Trivedi, MDDepartment of Anesthesiology and Pain MedicineThe Ottawa HospitalUniversity of OttawaOttawa, Ontario, Canada Manoj M. Lalu, MD, PhDDepartment of Anesthesiology and Pain MedicineThe Ottawa HospitalUniversity of OttawaOttawa, Ontario, CanadaClinical Epidemiology and Regenerative Medicine ProgramsOttawa Hospital Research InstituteOttawa, Ontario, CanadaDepartment of Cellular and Molecular MedicineUniversity of OttawaOttawa, Ontario, Canada[email protected]; [email protected]

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.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,083
Score d'incertitude au seuil0,279

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,007
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0040,003
Études des sciences et des technologies0,0010,001
Communication savante0,0050,003
Science ouverte0,0020,003
Intégrité de la recherche0,0020,005
Charge utile insuffisante (le modèle a refusé de juger)0,0830,091

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 Opus0,053
Tête enseignante GPT0,326
Écart entre enseignants0,273 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission2
Résumé présentoui

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