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Record W4391886439 · doi:10.1093/jcag/gwad061.081

A81 GASTROINTESTINAL (GI) FEATURES OF HYPERMOBILE EHLERS-DANLOS SYNDROME (HEDS) AND HYPERMOBILITY SPECTRUM DISORDER (HSD): A SCOPING REVIEW

2024· review· en· W4391886439 on OpenAlexaff
Nicole Chang, Dorota Borovsky, Yuhong Yuan, D Armstrong

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsHypermobility (travel)Ehlers–Danlos syndromeJoint hypermobilitySpectrum disorderMedicineDermatologyPsychiatryPhysical therapy

Abstract

fetched live from OpenAlex

Abstract Background Ehlers-Danlos syndromes (EDS) are a varied group of hereditable connective tissue disorders (HCTD) typified by skin, joint and vascular features, along with less well-recognized features of chronic pain, immunological dysfunction and chronic GI symptoms. The latest EDS classification (2017) lists 13 EDS types and 19 genetic factors but there is no identified genetic basis for hEDS, the most common type and the most-commonly associated with GI symptoms. There is a need for robust data on the prevalence of GI symptoms and diagnoses in hEDS and HSD. Aims To investigate the extent of evidence on GI symptom prevalence and methods used to establish GI diagnoses in patients with hEDS and HSD. Methods Following the JBI (Joanna Briggs Institute) guide for scoping reviews, a systematic search of Ovid Medline, Embase and Cochrane Library retrieved scoping and systematic reviews, published in English (1974 – Sept 2023), reporting GI symptom prevalence, assessment and complications in EDS or HSD. Abstracts of identified papers were reviewed by NC & DB and discrepancies resolved by YY & DA. As a scoping review, it required no statistical comparisons. Results Duplicate screening of 410 abstracts yielded 10 papers that met inclusion criteria: 1 scoping and 9 systematic reviews. Four systematic reviews reported GI surgical issues related to vascular EDS; none was evaluated further. Two papers reported, specifically, on GI symptoms in patients with postural tachycardia syndrome or eating disorders, some of whom had hEDS or HSD and two papers reported on multiple GI and non-GI symptoms associated with fibromyalgia or functional somatic symptoms. The final 2 papers reported on multiple GI and non-GI symptoms in patients with HSD or multiple EDS types, limited in the latter case to papers published after the latest EDS classification (2017). In general, GI symptoms were characterised as IBS-like symptoms (Rome III or Rome IV) or as typical GI symptoms but without using a validated symptom questionnaire. Conclusions There are few data on GI symptom prevalence in hEDS or HSD and no standardised methods for identifying or characterizing GI symptoms or function in hEDS. The evaluation of GI function and symptoms in EDS is hampered by the absence of a definitive genetic or diagnostic test for hEDS or HSD and by changes in EDS classification over the last 50 years. There is a need for targeted systematic reviews of the prevalence of various GI symptoms in hEDS individuals and of relevant diagnostic methods, to guide further research into the causes of GI dysfunction in hEDS or HSD. Funding Agencies None

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)0.009
metaresearch head score (Gemma)0.045
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 score0.019
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.045
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.007
Bibliometrics0.0190.016
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0020.003
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.017
GPT teacher head0.311
Teacher spread0.294 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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