Quantitative sensory testing for assessment of somatosensory function in human oral mucosa: a review

<p><b>Objective:</b> This narrative review provides an overview of the quantitative sensory testing (QST) to assess somatosensory function in human oral mucosa.</p> <p><b>Material and methods:</b> A literature search was conducted in the PubMed database to identify studies <i>in vivo</i> on human oral mucosa using QST methods. A list of 149 articles was obtained and screened. A total of 36 relevant articles remained and were read in full text. Manual search of the reference lists identified eight additional relevant studies. A total of 44 articles were included for final assessment.</p> <p><b>Results:</b> The included studies were divided into six categories according to the study content and objective. In each category, there was a great variety of aims, methods, participants and outcome measures. The application of QST has nevertheless helped to monitor somatosensory function in experimental models of intraoral pain, effects of local anesthesia, after oral and maxillofacial surgery and after prosthodontic and orthodontic treatment.</p> <p><b>Conclusions:</b> QST has been proved to be sufficiently stable and reliable, and valuable information has been obtained regarding somatosensory function in healthy volunteers, special populations and orofacial pain patients. However, as most of the studies were highly heterogeneous, the results are difficult to compare quantitatively. A standardized intraoral QST protocol is recommended and expected to help advance a mechanism-based assessment of neuropathies and other intraoral pain conditions.</p

Summary of stepwise regression analyses to determine predictors of sleep quality at baseline (r² = 27.5%).

<p>Summary of stepwise regression analyses to determine predictors of sleep quality at baseline (r² = 27.5%).</p

Pearson-Product moment correlation matrix for functional and psychological variables at baseline statistically associated with sleep quality at one year (n = 135).

<p>Pearson-Product moment correlation matrix for functional and psychological variables at baseline statistically associated with sleep quality at one year (n = 135).</p

Pearson-Product moment correlation matrix for clinical and psychological variables statistically associated at baseline (n = 180).

<p>Pearson-Product moment correlation matrix for clinical and psychological variables statistically associated at baseline (n = 180).</p

Summary of stepwise regression analyses to determine predictors of sleep quality at 12 Months (r² = 30.0%).

<p>Summary of stepwise regression analyses to determine predictors of sleep quality at 12 Months (r² = 30.0%).</p