Critical analysis of the reporting quality of case reports focusing on dental traumatology using the Preferred Reporting Items for Case reports in Endodontics 2020 checklist: A baseline evaluation prior to checklist publication
Notice bibliographique
Résumé
BACKGROUND/AIMS: The Preferred Reporting Items for Case Reports in Endodontics (PRICE) 2020 guidelines were published to help authors produce high-quality case reports. The aim of this study was to use the PRICE 2020 guidelines to appraise a sample of 50 case reports related to dental traumatology that were published before the guidelines were available in order to assess various parameters influencing the reporting quality. METHODS: Fifty case reports published between 2015 and 2019 and related to dental traumatology were randomly selected from the PubMed database. Reports were assessed by two independent evaluators using the PRICE checklist. Each item received a score of "1" if the manuscript met all pertinent criteria, "0" if it was not reported, and "0.5" if it was reported insufficiently. "Not Applicable" (NA) was assigned to items that were irrelevant to a specific report. The estimated total PRICE score for each case report was computed by adding all the scores, with a maximum score of 47 minus any "NA" scores. Descriptive and Inferential statistics (Student's t-test and ANOVA) were used for analysis. RESULTS: The percentage of case reports that fully met each applicable criteria ranged from 0% to 100%. The percentage of case reports partially satisfying each applicable criterion varied from 0% to 88%. There was a significant difference in scores for case reports published in journals with an impact factor compared with those without (p = .042). No significant difference was observed between the mean scores that compared the period of publication. There was no significant difference between journals that followed the CARE guidelines and those that did not. CONCLUSION: Several items within the PRICE 2020 guidelines were either not reported or only partially reported in case reports related to dental traumatology prior to the checklist publication. It is recommended that authors follow the PRICE 2020 guidelines to improve the overall quality of their case reports.
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 distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,015 | 0,039 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».