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Enregistrement W2212762088 · doi:10.1186/s13643-015-0163-7

All in the Family: systematic reviews, rapid reviews, scoping reviews, realist reviews, and more

2015· editorial· en· W2212762088 sur OpenAlexaff
David Moher, Lesley Stewart, Paul Shekelle

Notice bibliographique

RevueSystematic Reviews · 2015
Typeeditorial
Langueen
DomaineDecision Sciences
ThématiqueEvaluation and Performance Assessment
Établissements canadiensOttawa HospitalUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésMedicineSystematic reviewMEDLINEEngineering ethics

Résumé

récupéré en direct d'OpenAlex

Three years ago, we founded this journal focusing on publishing systematic reviews, systematic review protocols, and associated methodological development papers. Systematic reviews, which developed in the social sciences in the 1970s, began to gain rapid momentum during the 1990s in response to concerns by policymakers and clinicians about the scientific validity of the prevailing paradigm of traditional narrative reviews written by authoritative experts. What distinguished systematic reviews was the use of formal explicit methods, in other words pre-specification, of what exactly was the question to be answered, how evidence was searched for and assessed, and how it was synthesized in order to reach the conclusion. Importantly, these formal methods were described as part of the review itself in a Methods section. In turn, these methods themselves became the subject of hypothesis-testing studies, as investigators sought how best to search for evidence, assess studies for quality or risk of bias, determine under what conditions meta-analysis was justified, and how to best determine and characterize our confidence in the conclusions. The results of these hypothesis-testing studies led over time to improvements in the methods we use for systematic reviews. Thus, systematic reviews and this journal are part of an ever-evolving process whose foundations are rooted in the scientific method. Today, new forms of reviews are appearing. These have emerged in response to policymakers and other stakeholders’ needs for information, sometimes emergently or urgently, for which the existing systematic review model does not quite fit. Hence, the rapid review, when time is of the essence; the scoping review, when what is needed is not detailed answers to specific questions but rather an overview of a broad field; the evidence map, a cousin of scoping reviews that commonly has a specific visual presentation of the evidence across a broad field; and the realist review, where the question of interest includes how and why complex social interventions work in certain situations, rather than assume they either do or do not work at all. As Editors, we regularly get contacted by prospective authors asking whether realist reviews, or scoping reviews, etc., are “within the scope” for Systematic Reviews, and therefore we judge it an opportune time to state our position on this matter. It is our view that all of these new forms of reviews are related to systematic reviews, similar to the way that different biological Species within the same Family are related to each other. We consider “systematic reviews” to be the Family and the different forms of reviews to be the different species. Just as in the biological classification, where the related organisms must share certain characteristics, so too must the different types of reviews share a common characteristic. In this case, what is shared is their foundation in the scientific method, with their methods articulated in advance in sufficient detail that the review can be reproduced by others. A further defining feature is that there are scholars devoted to improving the methods over time via hypothesis-testing studies. Systematic Reviews has responded to these emerging techniques and already publishes papers reporting methods and findings from the systematic review family and has for example published an extremely popular series on rapid reviews. We would like to consolidate this position and invite submission of these new species of reviews, as long as they meet the qualifications just listed. We expect this process of evolution to continue and to refine the methods such that in 10 years’ time, there will appear new, as yet unimagined species of reviews—and perhaps some current species of review will become extinct. Thus, it is with the scientific method, which we believe is the foundation that unites the Family of systematic reviews.

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)0,076
score de la tête « metaresearch » (Gemma)0,239
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Méthodes · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,924
Score d'incertitude au seuil0,402

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0760,239
Méta-épidémiologie (sens strict)0,0030,002
Méta-épidémiologie (sens large)0,0060,003
Bibliométrie0,0150,040
Études des sciences et des technologies0,0030,025
Communication savante0,0250,028
Science ouverte0,0050,009
Intégrité de la recherche0,0170,024
Charge utile insuffisante (le modèle a refusé de juger)0,0410,042

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 Opus0,511
Tête enseignante GPT0,556
Écart entre enseignants0,044 · 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.

Devis d'étudeSans objet
DomaineMéthodes
GenreÉditorial

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

En bref

Citations303
Publié2015
Routes d'admission1
Résumé présentoui

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