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Record W4283164274 · doi:10.1136/gutjnl-2022-bsg.58

O58 Neuromuscular dysfunction in patients with nausea and vomiting syndrome defined by body surface gastric mapping

2022· article· en· W4283164274 on OpenAlexaff
Charlotte Daker, Chris Varghese, Stefan Calder, Armen A. Gharibans, Daniel D. Carson, Peng Du, Stephen Waite, Jonathan Woodhead, Gabriel Schamberg, John A. Windsor, Christopher N. Andrews, Greg O’Grady

Bibliographic record

VenueOral Presentations · 2022
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGastroparesisInternal medicineMedicineVomitingGastric emptyingNauseaElectrogastrogramGastroenterologyCyclic vomiting syndromeCardiologyStomach

Abstract

fetched live from OpenAlex

Introduction Gastroparesis and chronic nausea and vomiting syndromes are debilitating disorders of unclear etiology. Neuromuscular abnormalities, including interstitial cell of Cajal deficits, have consistently been shown to be a feature of these diseases, such that they may lie on the same disease spectrum. Gastric emptying studies fail to distinguish these abnormalities and their utility is controversial. Body surface gastric mapping (BSGM, high-resolution electrogastrography) is a new non-invasive diagnostic modality that provides direct biomarkers of gastric neuromuscular activity. Methods 42 patients with NVS were matched by age, sex, and BMI to 42 healthy controls. Gastric mapping was performed using Gastric Alimetry (Alimetry, New Zealand), employing a conformable high-resolution 64 electrode array coupled to a wearable reader and a validated symptom logging App. A 30-minute baseline recording was followed by a standardized 482 kcal meal, and then 4 hours of post-prandial recording with continuous symptom logging. Results Patients with NVS showed neuromuscular function abnormalities compared to controls, including attenuated amplitudes (median 23.6 vs 37.1 µV postprandially; p<0.001) and impaired meal responses (fed to fasting power ratio of 1.2 vs 1.6; p=0.013). Novel spatial biomarkers revealed unstable myoelectrical activity in patients, with reduced spatial frequency stability (13.6 vs 50.6; p<0.001), and reduced average spatial covariance (0.49 vs 0.52; p=0.002). Dominant frequency variance was also greater in patients (s.d. 0.7 vs 0.4; p<0.001). However, a significant patient subgroup (45.2%) showed normal (n=15) or hyperactive (n=1) gastric activity, with all biomarkers comparable to controls (p>0.1). This suggests more than one phenotype within the NVS cohort. Neuromuscular function biomarkers correlated with symptoms (excessive fullness, early satiety, bloating, heartburn, nausea, pain, and GCSI score all r>0.4; p<0.05). Conclusions Body surface gastric mapping is a new test of gastric function. NVS patients were found to frequently demonstrate gastric neuromuscular abnormalities, characterized by weaker gastric activity, impaired meal responses, and spatially unstable myoelectrical activity, which correlated with symptoms. However, 45% of NVS patients in this cohort had normal gastric activity, indicating other disease phenotypes. These data indicate that disease phenotypes in NVS may be clinically separated using Gastric Alimetry.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.223
Teacher spread0.211 · 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 designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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