Section 1 of 3
Introduction and background
Neslihan Karaoglan · about 2 minutes
Orthodontic pain is one of the most frequently reported adverse experiences during orthodontic treatment and can influence patient attitudes, cooperation, satisfaction, diet, oral hygiene, sleep, daily activities, and willingness to continue treatment [1-3]. It is commonly reported after separator placement, bonding, initial archwire insertion, activation appointments, intermaxillary elastic use, and appliance removal. Classic clinical studies and more recent fixed-appliance trials indicate that pain often begins within the first few hours, reaches its highest level during the first day or the first 24-48 hours, and gradually decreases over the following days [4-7]. Recent systematic evidence in adult fixed-appliance patients also confirms that pain and discomfort during early treatment can be accompanied by a decline in oral health-related quality of life (OHRQoL) [8].
The biological basis of this pain is related to the response of periodontal and alveolar tissues to orthodontic force. Mechanical loading produces areas of compression and tension in the periodontal ligament, leading to vascular changes, transient ischemia, inflammatory mediator release, and sensitization of peripheral nociceptors [2,9]. Pain signals from periodontal and oral tissues are then transmitted through trigeminal afferent pathways to central nervous system structures involved in sensory-discriminative and affective-emotional pain processing. However, the perceived intensity of orthodontic pain is not explained by tissue response alone. Anxiety, anticipation of pain, previous dental experiences, catastrophizing, coping confidence, and attention to symptoms can modulate pain perception and the functional burden experienced by the patient [10-13].
Procedure-related factors are also important. Bonding and initial archwire placement may represent the patient’s first experience of fixed appliance discomfort, separators can impair chewing before molar banding, elastics may interfere with adherence, and debracketing may generate pain or anxiety at the end of treatment [7,14,15]. Separator-related interventions have recently been synthesized in a systematic review and meta-analysis, which highlighted both the clinical relevance of separation pain and the heterogeneity of available pharmacological and nonpharmacological approaches [16]. Appliance type may further modify the pain experience; fixed appliances, lingual appliances, and clear aligners can produce different pain trajectories because of differences in force delivery, mucosal irritation, removability, hygiene demands, and patient behavior [17-19].
These observations support a broader and more individualized approach to orthodontic pain management. Traditional pain control often focuses on analgesic use after pain occurs; however, a risk-based model begins before the procedure by identifying patients likely to experience clinically important discomfort. The objective of this narrative review is to summarize biological, psychological, and clinical determinants of orthodontic pain, appraise available pain management strategies, and propose a conceptual management pathway that links patient-level risk features with procedure-specific counseling, analgesic planning, adjunctive options, and follow-up intensity. The novelty of this framework is that it translates the general biopsychosocial understanding of pain into a practical orthodontic pathway organized around treatment stage, appliance type, expected pain timing, and chairside follow-up decisions. It is not intended to replace existing evidence-based interventions or function as a validated prediction rule.
This article is a narrative review rather than a systematic review or meta-analysis. The emphasis is on clinical interpretation and integration of heterogeneous evidence, not on pooled effect estimation. Accordingly, the review uses PRISMA-style transparency where feasible, but the proposed framework should be interpreted as a conceptual synthesis requiring prospective validation.