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Record W4379141418 · doi:10.1016/j.clnu.2023.05.002

Systematic review of sarcopenia in inflammatory bowel disease

2023· review· en· W4379141418 on OpenAlexaboutno aff
Hala Fatani, Adina Olaru, Rebecca Stevenson, Waad Z. Alharazi, Ayman Jafer, Philip J. Atherton, Matthew S. Brook, Gordon W. Moran

Bibliographic record

VenueClinical Nutrition · 2023
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
FundersNIHR Nottingham Biomedical Research CentreMedical Research CouncilNational Institute for Health and Care Research
KeywordsMedicineSarcopeniaInternal medicineInflammatory bowel diseaseCrohn's diseaseIncidence (geometry)Randomized controlled trialPhysical therapyDisease

Abstract

fetched live from OpenAlex

INTRODUCTION: There is growing evidence of increased muscle atrophy in IBD patients, likely resulting in a higher sarcopenia prevalence in IBD. The aims of this systematic review are A1; to estimate sarcopenia prevalence in IBD patients, A2; to investigate its impact on IBD patients, and A3; the effectiveness of nutritional interventions on muscle mass and/or strength in IBD patients. METHODS: On 28 July 2021, three electronic databases were used to identify eligible studies, including peer-reviewed studies (randomised controlled trials [RCTs], non-RCTs, observation studies) in adult (⩾ 18 years) IBD patients. For A1 and A2 only, studies defined low muscle mass and/or strength cut-off points. For A2, studies assessed association between sarcopenia and IBD complication. For A3, studies assessed the nutrition effect among IBD patients. RESULTS: 35 studies were included, 34 for A1, 20 for A2, and three for A3. 42% of adult IBD patients have myopenia, 34% have pre-sarcopenia, and 17% sarcopenia. Myopenic IBD was significantly associated with therapy failure including IBD-related surgery risk in six studies, risk of medical therapy failure in four studies, risk of hospitalisation in one study. A significant association existed with postoperative complications risk in IBD patients in four studies, reduction in BMD in two studies, and increased incidence of non-alcoholic fatty liver disease (NAFLD) in one study. Sarcopenia in IBD was significantly associated with a reduction in BMD in one study. Two studies found a personalised nutrition plan (high protein) in IBD patients significantly improved muscle mass. One study found a significant positive association between muscle mass and dietary intake including high protein intake. CONCLUSION: Over one third of adult IBD patients have myopenia and pre-sarcopenia, and nearly a fifth have sarcopenia. Myopeninc IBD is significantly associated with increased risk of IBD therapy failure, postoperative complications, and low BMD, with possible association with increased NAFLD risk. Nutritional therapy may play a role in reversing low muscle mass though yet unclear if this is through disease activity reversal. Further studies on adult IBD patients focusing on sarcopenia/myopenia are needed with recommended study designs of 1) standardised population-based definitions with recommended standard methods used to measure skeletal muscle mass, 2) prospective studies with IBD patients stratified by Montreal classification, disease activity, disease duration and concomitant medication to observe muscle changes, 3) mechanistic studies on sarcopenia aetiology, specifically focusing on protein handling atrophy and absorption, 4) properly designed RCT to assess nutrition intervention in sarcopenic IBD patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.043
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0120.008
Bibliometrics0.0120.012
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.387
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations62
Published2023
Admission routes1
Has abstractyes

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