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Record W120262641 · doi:10.1155/2012/426415

The Hidden Cause of Dysphagia – Epiphrenic Diverticulum and Esophageal Motility Disorders

2012· article· en· W120262641 on OpenAlexvenueno aff
Aloysious Aravinthan, Marko Nikolić, Xiaomei Ouyang, Young‐Mee Lee

Bibliographic record

VenueCanadian Journal of Gastroenterology · 2012
Typearticle
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsDysphagiaEsophageal motility disorderMedicineInternal medicineDiverticulum (mollusc)GastroenterologyMotilityEsophagusSurgeryGeologyAchalasia

Abstract

fetched live from OpenAlex

65-year-old woman presented with slowly progressing dysphagia of two to three years’ duration. The patient’s dysphagia was intermittent and was associated with solid food during the initial phase, but progressed to difficulty with swallowing liquids. During the few months before presentation, she also experienced heartburn, nausea and vomiting. She denied significant weight loss or anorexia. Her medical history was notable for cholecystectomy 11 years previously, and she was taking ranitidine. Physical examination and routine laboratory investigations including complete blood count, renal and liver function tests were within the normal range. She underwent gastroscopy followed by a barium swallow, which demonstrated an epiphrenic diverticulum and a midesophageal diverticulum (Figure 1). Following barium swallow, she underwent esophageal manometry (Figure 2). This demonstrated simultaneous contraction in the esophageal body of normal amplitude and duration (Figure 2). The resting lower esophageal sphincter pressure was elevated (49 mmHg), but the relaxation was complete (Figure 2), confirming an atypical variant achalasia. Gastroscopy also demonstrated epiphrenic diverticulum and a ‘tight’ gastroesophageal junction without a mucosal abnormality. The endoscope was passed through the gastroesophageal junction with a slight resistance.

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)0.001
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 score0.076
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.020
GPT teacher head0.315
Teacher spread0.295 · 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 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".

Quick stats

Citations6
Published2012
Admission routes1
Has abstractyes

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