Publication Cover
CRANIO®
The Journal of Craniomandibular & Sleep Practice
Volume 42, 2024 - Issue 3
318
Views
15
CrossRef citations to date
0
Altmetric
TMJ

Accuracy of the Fonseca Anamnestic Index for identifying pain-related and/or intra-articular Temporomandibular Disorders

, PhD, MSc, BDS, , MD, DDSORCID Icon, , MD, DDS & , PhD, DDSORCID Icon
Pages 259-266 | Published online: 14 Jul 2021
 

ABSTRACT

Objectives: This study established the diagnostic accuracy of the Fonseca Anamnestic Index (FAI) in relation to the Diagnostic Criteria for TMD (DC/TMD) standard.Methods: A total of 866 TMD patients and 57 TMD-free controls were instructed to answer the FAI and DC/TMD Symptom Questionnaire (SQ). Participants were subsequently categorized into no (NT), pain-related (PT), and/or intra-articular (IT) TMDs using the DC/TMD protocolized examination/algorithms. Receiver operating characteristics (ROC) curves, best cut-off points, and accuracy measures were determined.Results:The FAI demonstrated high accuracy for detecting all TMDs, PT, and IT (AUC = 0.96–0.98). The best cut-off points were 22.50 for all TMDs/IT and 27.50 for PT. Sensitivity of the FAI was high (94.23–98.21%), but specificity was moderate (87.72%) for all diagnostic categories.Discussion:The diagnostic accuracy of the FAI for identifying pain-related and intra-articular TMDs was high. FAI scores ≥25 points should be used to screen for TMDs.

Mandatory note

The manuscript is not derived from any theses

Disclosure statement

The authors have no financial or personal conflict of interests to declare relating to this article.

Deposit of the manuscript on a preprints server

The manuscript will not be deposited on a preprints server.

Additional information

Funding

This study was funded by the Capital Clinical Research Project (Z141107002514157) from the Beijing Municipal Science and Technology Commission and the Capital Health Research and Development of Special Fund Program (2020-4-4106) from the Beijing Municipal Health Commission;Beijing Science and Technology Planning Project [Z141107002514157];Beijing Municipal Commission of Education (CN) [2020-4-4106];

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 243.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.