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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 OpenAlex
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

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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

<h3>Introduction</h3> 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. <h3>Methods</h3> 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. <h3>Results</h3> Patients with NVS showed neuromuscular function abnormalities compared to controls, including attenuated amplitudes (median 23.6 vs 37.1 µV postprandially; p&lt;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&lt;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&lt;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&gt;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&gt;0.4; p&lt;0.05). <h3>Conclusions</h3> 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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.004
Threshold uncertainty score0.379

Codex and Gemma teacher scores by category

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

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