Question · asked by 1 review

Anorexia nervosa (as exposure; diagnosed by DSM-III/III-R/IV/V) vs Healthy controls: Dental erosion

Population
Patients with anorexia nervosa aged >=12 years (mean age ~18.4; entirely female in reported data), general community-dwelling population
Intervention
Anorexia nervosa (as exposure; diagnosed by DSM-III/III-R/IV/V)
Comparison
Healthy controls
Outcome
Dental erosion

Dental erosion was more prevalent in anorexia nervosa patients than controls (low erosive-wear severity), but was not pooled or graded (ungraded).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
Anorexia nervosa (as exposure; diagnosed by DSM-III/III-R/IV/V) vs Healthy individuals without anorexia nervosa (age- and sex-matched controls)
Dental erosion · Patients with anorexia nervosa aged >=12 years (mean age ~18.4; entirely female in reported data), general… · Clinical dental/oral examination; case-control studies and controlled clinical trials in Europe (mainly Poland, Italy, France, Germany), Australia and the USA
Dental erosion was more prevalent in anorexia nervosa patients than controls (low erosive-wear severity), but was not pooled or graded (ungraded).
The influence of anorexia nervosa on oral health and related parameters potentially relevant to orthodontic… (2025) All outcomes
Significant prevalence of dental erosion in anorexic patients vs controls, though BEWE scores indicated low erosive-wear risk (Mascitti BEWE 5.2+/-4.5; Paszynska 16.2% at BEWE 3-8); not meta-analyzed2 studies · 270 participantsGRADE not reported

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
The influence of anorexia nervosa on oral health and related parameters potentially relevant to orthodontic treatment: a systematic review…
2025 All outcomes
Up to February 2024 (Abstract); Methods states searched without time restriction up to April 202319Not applicable
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.