Notice bibliographique
Résumé
REPLY TO DRS TAM AND GOH: REPLICABILITY, TRANSPARENCY, AND CURRENCY IN NURSING REVIEWS Dear Dr Chinn, We wish to thank Drs Tam and Goh for their response to our article and for their work in the area of the science of reviews. The need for replicability, transparency, and currency is important for upholding rigor in nursing reviews. While both of our articles1,2 address the science of reviews, the focus of their article was to examine the time taken between the last search, submission, acceptance, and publication dates of systematic reviews published in nursing journals. In contrast, our article examined the characteristics of nurse-led reviews and was guided by PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines.3 Because of the differing foci, we discourage direct comparisons between each article. Instead, we think that both articles can help authors, reviewers, and editors start to ameliorate issues central to the rigor of reviews in nursing. Drs Tam and Goh's suggestion that the use of the PRISMA guidelines to report only systematic reviews and meta-analyses is too narrow of a view and may be detrimental to improving the science of reviews in nursing. The PRISMA guidelines may be used as applicable, with other types of reviews such as integrative reviews and scoping reviews4 to ensure completeness of reporting. At the very least, these guidelines can bring some standardization to reporting the search process among reviews. An increasing number of publishers have accepted PRISMA as a comprehensive reporting guideline since the guidelines were disseminated in 2009.5 Furthermore, some journals have started to encourage or even require authors to complete the PRISMA checklist for relevant reviews. Both of our articles highlight the need for accuracy of reporting in reviews. Explicit documentation of search strategies used in systematic and integrative reviews has a significant role in the quality assessment and reproducibility of reviews. We concluded that transparent search strategies are not consistently documented in nursing reviews. Our 2 articles differ in focus related to search date information provided in a review. As noted in Tam and Goh's response, our findings revealed that several reviews reported end dates of searches as “to present.” Our review was concerned with the impact of this phrase on reproducibility of the search, not of timeliness of search date and publication. We agree that results can certainly become obsolete by the time a paper goes to press. However, thorough reporting of search criteria and methods is crucial for a number of reasons so that other researchers may (1) evaluate the quality of a search (eg, ensure the review was truly systematic and not based on hand-picked articles), and (2) conduct subsequent reviews of the topic at a later date, starting where the prior review left off. Going forward, journal editors and reviewers should encourage authors to thoroughly report methods used. Thank you again for your work in this area and for your interest in our article. —Coleen E. Toronto, PhD, RN, CNE Associate Professor School of Nursing Curry College Milton, Massachusetts —Brenna L. Quinn, PhD, RN, NCSN Assistant Professor Solomont School of Nursing University of Massachusetts Lowell Lowell, Massachusetts —Ruth Remington, PhD, AGPCNP-BC Professor Department of Nursing Framingham State University Framingham, Massachusetts
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,080 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,005 | 0,007 |
| Science ouverte | 0,004 | 0,003 |
| Intégrité de la recherche | 0,028 | 0,030 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,024 | 0,019 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».