Evidence map›Paper›PMID 42157350›Full record

ArticleJournal of eating disorders2026

A person-centred and data-driven approach to phenotyping anorexia nervosa.

Charlotte Bovenberg, Johanna L Keeler, Valentina Cardi, Suman Ambwani, Rebecca Morris, Katie Rowlands, Janet Treasure

Abstract read
In one paragraph

Article in Journal of eating disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Charlotte BovenbergCentre for Research in Eating and Weight Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. Charlotte.bovenberg@kcl.ac.uk.
Johanna L KeelerCentre for Research in Eating and Weight Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Valentina CardiCentre for Research in Eating and Weight Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Suman AmbwaniDIS Study Abroad in Scandinavia (DK), Copenhagen, Denmark.
Rebecca MorrisCentre for Research in Eating and Weight Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Katie RowlandsCentre for Research in Eating and Weight Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Janet TreasureCentre for Research in Eating and Weight Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Funding

National Institute for Health and Care Research 14/68/09
6 · The paper itself

Abstract

backgroundAnorexia nervosa (AN) is a severe psychiatric disorder (ED) with high mortality, marked functional impairment, and substantial phenotypical heterogeneity. Despite extensive research, treatment outcomes remain poor, and it is unclear why some individuals improve while others follow more persistent and severe courses. Existing diagnostic subtypes show limited value in predicting illness trajectory or treatment response. This study examined the distinct AN phenotypes which emerged within a treatment-seeking sample and considered how these differ in their response to standard treatment.

methodUsing data from the TRIANGLE study, latent profile analysis was used to identify phenotypic subgroups of adult patients with AN or atypical AN admitted to hospital for intensive care (n = 382), based on a variety of anthropometric and clinical variables. Following profile allocation, separate linear mixed model analyses (n = 370) examined differences between groups and over time (18 months) in depression, anxiety, and stress symptoms, work and social impairment, body mass index (BMI), and ED psychopathology.

resultsA four-profile solution best fit the data. Profiles differed in illness duration and symptom severity. One profile with long illness duration (mean ± standard deviation = 9 ± 7 years) and high symptom severity, a long-duration group (21 ± 11 years) with moderate severity, and two short-duration groups (4 ± 3 and 5 ± 3 years), one with high and one with comparatively lower severity, respectively. The high-severity, shorter-duration profile showed significant improvement across all variables over the 18-month follow-up period, whereas the highest-severity, longer-duration profile showed significant improvement on all variables except ED psychopathology. Where improvements were observed in both high-severity profiles, the magnitude of change was generally greater in the longer-duration profile, except for BMI, where it was equal and work and social impairment, where the shorter-duration profile showed greater improvement. In contrast, the lower-severity profiles showed significant improvements only in BMI and work and social impairment, which were smaller in magnitude than those observed in the high-severity profiles.

conclusionSubtyping and treatment planning for AN must recognise that prognosis is shaped by multiple interacting factors rather than any single indicator and incorporate psychological, social, and functional complexity.

Indexed as

Anorexia nervosaEating disordersEnduringLatent profile analysisLongstandingPersonalised treatmentSeverity

Identifiers

PMID42157350
PMCPMC13366680

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.