Evidence map›Paper›PMID 37004165›Full record

ArticleJournal of Crohn's & colitis2023

Development and Validation of the Glasgow Exclusive Enteral Nutrition Index of Compliance.

Aleksandra Jatkowska, Bernadette White, Ben Nichols, Vaios Svolos, Konstantinos Gkikas, Richard Hansen, Richard K Russell, Daniel Gaya, Emily Brownson, John Paul Seenan and 3 more

Abstract readValidation Study
In one paragraph

Article in Journal of Crohn's & colitis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

13 authors.

Aleksandra JatkowskaHuman Nutrition, School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK.ORCID 0000-0003-0148-4548
Bernadette WhiteHuman Nutrition, School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK.
Ben NicholsHuman Nutrition, School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK.
Vaios SvolosHuman Nutrition, School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK.
Konstantinos GkikasHuman Nutrition, School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK.ORCID 0000-0003-1581-6566
Richard HansenDepartment of Paediatric Gastroenterology, Royal Hospital for Children, Glasgow, UK.
Richard K RussellDepartment of Paediatric Gastroenterology, Royal Hospital for Children & Young People, Edinburgh, UK.ORCID 0000-0001-7398-4926
Daniel GayaDepartment of Gastroenterology, Glasgow Royal Infirmary, Glasgow, UK.
Emily BrownsonDepartment of Gastroenterology, Queen Elizabeth University Hospital, Glasgow, UK.
John Paul SeenanDepartment of Gastroenterology, Queen Elizabeth University Hospital, Glasgow, UK.
Simon MillingSchool of Infection and Immunity, University of Glasgow, Glasgow, UK.ORCID 0000-0003-4384-5516
Jonathan MacDonaldDepartment of Gastroenterology, Queen Elizabeth University Hospital, Glasgow, UK.
Konstantinos GerasimidisHuman Nutrition, School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK.ORCID 0000-0001-9432-2200

Funding

Nestle Health Science
6 · The paper itself

Abstract

BACKGROUND AND

aimsTreatment adherence is key to the efficacy of exclusive enteral nutrition [100% EN] in active Crohn's disease [CD], but there are no biomarkers to objectively estimate this. We explored faecal parameters as biomarkers of compliance with 100% EN, and subsequently developed and validated the Glasgow Exclusive Enteral Nutrition Index of Compliance [GENIE].

methodsHealthy adults replaced all [100% EN] or part [85% EN, 50% EN, 20% EN] of their diet with a formula for 7 days. Faecal pH, water content, short chain fatty acids, and branched chain fatty acids [BCFAs] were measured before [D0] and after [D7] each intervention. Optimal biomarkers and threshold values were derived using receiver operating characteristic curve analyses and machine learning to develop the GENIE. The GENIE was then validated in 30 CD children, during and after 100% EN.

resultsIn all, 61 adults were recruited. D7 faecal pH and the ratios of BCFAs to either acetate or butyrate performed the best to differentiate between patients on 100% EN from <100% EN. Two models were generated; one included faecal metabolites (Laboratory GENIE, L-GENIE; sensitivity, specificity, and positive predictive value [PPV] of 88%, 94%, and 92%) and a second one [Clinical Genie, C-GENIE] which considers only faecal pH [sensitivity, specificity, and PPV of 84%, 86%, and 81%]. Validation of GENIE in CD children found that C-GENIE outperformed L-GENIE, producing a sensitivity, specificity, and PPV of 85%, 88%, and 88%, respectively.

conclusionsGENIE can help predict adherence to 100% EN and may complement current conventional dietary assessment.

Indexed as

Crohn DiseaseEnteral NutritionFecesPatient ComplianceAdolescentAdultBiomarkersChildFatty Acids, VolatileFemaleHumansHydrogen-Ion ConcentrationMaleMiddle AgedROC CurveYoung AdultBiomarkersFatty Acids, VolatileBiomarkersexclusive enteral nutritionpaediatrics

Identifiers

PMID37004165
PMCPMC10588781

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Registered trials

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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.