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Record W4407775843 · doi:10.1111/apha.70008

Electromechanical coupling across the gastroduodenal junction

2025· review· en· W4407775843 on OpenAlexafffund
Sam Simmonds, Jan D. Huizinga, Andrew J. Taberner, Peng Du, Timothy R. Angeli

Bibliographic record

VenueActa Physiologica · 2025
Typereview
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsMcMaster UniversityPopulation Health Research Institute
FundersMarsden FundCanadian Institutes of Health ResearchRoyal Society Te Apārangi
KeywordsDuodenumPylorusGastroparesisStomachGastrointestinal tractMedicineInternal medicineGastric emptying

Abstract

fetched live from OpenAlex

The gastroduodenal junction is uniquely capable of regulating digestive functions in the gastrointestinal system. The pyloric sphincter, which demarcates the stomach from the small intestine, acts as a mechanical and electrical barrier, isolating each organ, thus enabling independent behaviors that are critical for proper digestion. Unique electrical patterns in the stomach, pylorus, and duodenum underpin the distinct contractile patterns of these regions, and improper organization of these mechanical behaviors leads to clinical conditions such as gastroparesis and dumping syndrome. For this reason, the gastroduodenal junction should be a focal point in investigations of novel biomarkers of gastrointestinal dysfunction. This review summarizes the current knowledge of bioelectrical and mechanical characteristics of the gastroduodenal junction, as well as the relevant underlying anatomy. As there is limited documentation of physiological recordings from the gastroduodenal junction of humans, inferences are made from animal studies and from measurements taken from other regions of the gastrointestinal tract, where appropriate. We suggest hypotheses on gastroduodenal electromechanical coupling and propose further studies to support or reject these ideas. Improved physiological understanding of this region, and the advent of novel diagnostic and therapeutic tools are crucial aspects for the future of clinical gastrointestinal medicine.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.972
Threshold uncertainty score0.861

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.047
GPT teacher head0.366
Teacher spread0.319 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations7
Published2025
Admission routes2
Has abstractyes

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