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Record W4381113161 · doi:10.1136/gutjnl-2023-bsg.336

P268 The use of gastric alimetry® for specific patient phenotyping in gastroduodenal disorders in comparison to gastric emptying scintigraphy

2023· article· en· W4381113161 on OpenAlex

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

VenuePoster presentations · 2023
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGastric emptyingPostprandialGastroenterologyInternal medicineMedicineMealAnxietyStomachScintigraphyGastro-Psychiatry

Abstract

fetched live from OpenAlex

<h3>Background</h3> Gastric emptying testing (GET), while useful for evaluating gastric motility, is not specific nor sensitive for neuromuscular disorders. However, Gastric Alimetry® (GA) is a novel medical test that uses gastric mapping and validated symptom profiling. The current study compared the patient-specific phenotyping from GA with GET. <h3>Methods</h3> Patients with chronic gastroduodenal symptoms completed GET and GA concurrently. Tests included a 30-minute baseline, <sup>99m</sup>TC-labelled egg meal and 4-hour postprandial recording. Results were compared to the reference normative ranges. The validated GA App profiled symptoms and subsequently phenotyped them using rule-based criteria into either: 1) Continuous (no correlation between symptoms and meal or gastric activity); 2) Gastric Sensorimotor (correlation between symptoms and meal or gastric activity); 3) or Other, to compare with questionnaires. <h3>Results</h3> 75 patients with chronic gastroduodenal symptoms were assessed; 77% female, median age 43, median BMI 24.0. Motility abnormality detection rates were 22.7% (GET); 33.3% (GA) with a combined yield 42.7%. All groups showed similar symptom profiles and did not correlate with Rome criteria or health psychology factors (p&gt;0.05). GA symptom phenotypes (figure 1A) were: <i>gastric sensorimotor</i> 17%; <i>continuous</i> 30%; <i>other</i> 53%. Strong correlations between the sensorimotor phenotype and gastric amplitude were observed (median r=0.61 vs r=0.08 and r=0.06 respectively; p=0.0002). The continuous phenotype correlated with depression and anxiety (p&lt;0.05), while Rome IV Criteria did not (p&gt;0.05). No correlation between GET abnormalities and GA phenotypes was found (figure 1B). <h3>Conclusion</h3> In patients with chronic gastroduodenal symptoms, GA produced a high yield for motility abnormalities, compared to GET. Additionally, GA found correlations between patient-specific symptom phenotypes and health psychology factors, which were not identified by ROME IV and GET. Together, the results suggest that GA and GET may work in conjunction with each other by assessing different features of gastric functioning.

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 score0.018
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.094
GPT teacher head0.330
Teacher spread0.237 · 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