Evidence map›Paper›PMID 42288886›Full record

ArticleOrphanet journal of rare diseases2026

Disordered eating in diet-treated inborn errors of metabolism: screening and behavioral insights.

Mary Kate LoPiccolo, Claire Cinnamon, Colleen Donnelly, Ilona Ginevic, Jessica Waite, Sara Donnelly, Mingyu Ma, Caroline Staccone, Lissette Estrella, Alan Weinberg and 2 more

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
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

12 authors.

Mary Kate LoPiccoloDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA. mary.lopiccolo@mssm.edu.ORCID http://orcid.org/0009-0004-0851-3107
Claire CinnamonDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Colleen DonnellyDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ilona GinevicDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jessica WaiteDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Sara DonnellyDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Mingyu MaDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Caroline StacconeDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Lissette EstrellaDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Alan WeinbergDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Thomas HildebrandtDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Margo Sheck BreilynDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLifelong restrictive diets are a mainstay of management for many inborn errors of metabolism (IEMs). The experience of metabolic care providers suggests higher prevalence of disordered eating behaviors in this population; however, this has not been well characterized. In this study, we applied screening tools adapted to our population to identify eating disorders and characterize associated symptomatology. All participants were given 2 assessment tools: the SCOFF questionnaire, a 5-question screen for a possible eating disorder, and a modified Eating Pathology Symptoms Inventory (EPSI), a 45-item Likert-scaled questionnaire characterizing eating disorder pathology. Patients aged 16 years and older on prescription diets at the Program for Inherited Metabolic Diseases at the Icahn School of Medicine at Mount Sinai were recruited. Participant demographics were collected through medical record review.

resultsFifty-two subjects were enrolled, and 51 completed both surveys. 27 subjects identified as female (52%), 23 as male (44%), and two as genderqueer (4%). Ages ranged from 16 to 50 years old. The most common diagnosis was phenylketonuria (n = 34, 65%), followed by glycogen storage disease type 1a (n = 8, 15%). Most patients were on a low-protein diet (n = 41, 79%), 17% (n = 9) were on a low-carbohydrate diet, and 6% (n = 3) were on a low-fat diet. The SCOFF screen positive rate was 34.6%, 95% CI [22.0% - 49.1%], which is significantly greater than population norms of 10.1% (p < 0.001). EPSI results revealed that our participants were significantly more likely to demonstrate binge eating, restrictive behaviors, excessive exercise, and negative attitudes towards obesity when compared to population norms.

conclusionThis study demonstrates a significantly increased screen positive rate of likely eating disorders among patients with IEM, about three times that of the general population. Metabolic providers should be aware of this potential risk to their patients, as eating disorders can impact metabolic control and adherence to diet, while also causing significant psychological distress to patients with these rare disorders. These results demonstrate that heightened awareness of potential eating disorders in patients with IEMs is warranted, and the development of validated screening tools may be impactful to their care and management.

Indexed as

Feeding and Eating DisordersMetabolism, Inborn ErrorsAdolescentAdultFemaleHumansMaleMiddle AgedPhenylketonuriasSurveys and QuestionnairesYoung AdultComorbiditiesEating disorderInborn errors of metabolismNutritionScreening

Identifiers

PMID42288886
PMCPMC13637089

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.