Question · asked by 1 review

Juvenile idiopathic arthritis (JIA) vs Children and adolescents without JIA (healthy peers): Temporomandibular disorders (TMD), TMJ arthritis/involvement and orofacial pain

TMD and TMJ arthritis/involvement (and orofacial pain) were consistently reported more frequently in children/adolescents with JIA than in healthy peers, though several studies had small samples; no pooled estimate (ungraded).

What each review found

Include earlier review versions
FindingEffectStudiesGRADE certainty
Juvenile idiopathic arthritis (JIA) vs Children and adolescents without JIA (healthy peers)
Temporomandibular disorders (TMD), TMJ arthritis/involvement and orofacial pain · Children and adolescents with juvenile idiopathic arthritis (JIA) · Latvia, Egypt, Sweden and United Kingdom (Al-Shwaikh 2016, Abdul-Aziez 2010, Mohammed 2012, Leksell 2012, Ahmed 2004)
TMD and TMJ arthritis/involvement (and orofacial pain) were consistently reported more frequently in children/adolescents with JIA than in healthy peers, though several studies had small samples; no pooled estimate (ungraded).
Oral health in children and adolescents with juvenile idiopathic arthritis - a systematic review and… (2019) All outcomes
TMJ arthritis, TMJ involvement and TMD were coherently reported more frequently among children with JIA than healthy peers [35-38] (TMJ dysfunction also in [22]); e.g., higher frequency of condylar surface flattening…5 studies · 367 participantsGRADE not reported

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Oral health in children and adolescents with juvenile idiopathic arthritis - a systematic review and meta-analysis.
2019 All outcomes
25 November 201820Not applicable

Studies behind the findings

None of these reviews ties its included studies to this outcome in the data here. Cochrane reviews and reviews with headline outcomes only do not list their studies yet.

How reviews are matched to this question

Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.