Portuguese translation, cultural adaptation and psychometric properties of the temporomandibular joint scale: a cross-sectional study

The European Portuguese version of TMJ scale is now available to improve the assessment of severity of TMD in routine clinical practice. This version is also reliable and valid.

Authors

Institutions

Publication Details

Journal
Oral and Maxillofacial Surgery
Published
2024-10-31
DOI
https://doi.org/10.1007/s10006-024-01300-8
Citations
1
Primary Topic
Temporomandibular Joint Disorders
Type
article
Field-Weighted Citation Impact
0.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Portuguese translation, cultural adaptation and psychometric properties of the temporomandibular joint scale: a cross-sectional study

Luísa Pereira, Verónica Abreu, Rui Vilarinho, Mariana Cervaens et al.
1 citations
Oral and Maxillofacial Surgery
Temporomandibular Joint Disorders
0.50
article

Portuguese translation, cultural adaptation and psychometric properties of the temporomandibular joint scale: a cross-sectional study

Luísa Pereira, Verónica Abreu, Rui Vilarinho, Mariana Cervaens, M. Alexandra Esteves, André Magalhães, Jéssica Pereira
article en
1 citations

Abstract

The European Portuguese version of TMJ scale is now available to improve the assessment of severity of TMD in routine clinical practice. This version is also reliable and valid.

Oral and Maxillofacial SurgeryVol. 29(1)
Fernando Pessoa University (PT), Polytechnic Institute of Porto (PT), Instituto Piaget (PT)
Openalex Percentile: Top 30%
Temporomandibular Joint Disorders
0.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.