Question · asked by 1 review

Anorexia nervosa (as exposure; diagnosed by DSM-III/III-R/IV/V) vs Healthy controls: Salivary flow rate (unstimulated)

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
Salivary flow rate (unstimulated)

Anorexia nervosa probably reduces unstimulated salivary flow rate versus healthy controls (MD -0.27 ml/min, 95% CI -0.31 to -0.24; moderate certainty).

What each review found

Include earlier review versions
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)
Unstimulated salivary flow rate · 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
Anorexia nervosa probably reduces unstimulated salivary flow rate versus healthy controls (MD -0.27 ml/min, 95% CI -0.31 to -0.24; moderate certainty).
The influence of anorexia nervosa on oral health and related parameters potentially relevant to orthodontic… (2025) All outcomes
MD -0.27 [-0.31, -0.24]4 studies · 316 participantsModerate

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

Studies behind the findings

The primary studies the full-text reviews tie to this outcome. Reviews with headline outcomes only do not list them here.

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.