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Record W4408402567 · doi:10.22374/cjgim.v16i4.504

Dysphagia Megalatriensis in an 87-Year-Old Woman

2021· article· en· W4408402567 on OpenAlexaffvenueabout
Mehras Motamed, Meredith Poole, Zardasht Jaff, Don Thiwanka Wijeratne

Bibliographic record

VenueCanadian Journal of General Internal Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineDysphagiaGeneral surgerySurgery

Abstract

fetched live from OpenAlex

Dysphagia megalatriensis is a rare cause of esophageal dysphagia caused by left atrial enlargement (LAE). LAE is often caused by chronic atrial fibrillation, chronic hypertension and left ventricular dysfunction, or mitral valvulopathy. Here, we report a case of an 87-year-old female presenting with a 4-week history of progressive dysphagia and odynophagia to solid foods and a 2-week history to liquids. The patient had intermittent nausea and vomiting for the past 6 months, accompanied by an unintentional weight loss of 40 lbs over the same time period. This had worsened since the onset of the chest pain and she now experienced daily vomiting. Her past medical history was significant for hypertension, coronary artery disease, atrial fibrillation (AF) requiring AV node ablation with pacemaker insertion, and COPD. Echocardiography revealed a severely enlarged left atrium with patent foramen ovale, mitral annular calcification, severe TR and an elevated pulmonary artery systolic pressure of 77 mmHg. This case highlights the importance of dysphagia megalatriensis as a pertinent differential to consider in patients with long-standing cardiac conditions presenting with dysphagia and the importance of utilizing the Canadian Association of Gastroenterology’s diagnostic approach to uninvestigated dysphagia to come to the appropriate diagnosis. Additionally, we discuss the merits of rate vs. rhythm control in patients with AF-induced LAE. While there is some data to suggest that rhythm control is associated with poor outcomes in patients with normal to mild LAE, there is limited information is available on patients with existing LAE who would likely benefit from rhythm control.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.018
GPT teacher head0.275
Teacher spread0.257 · 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 designCase report
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

Citations0
Published2021
Admission routes3
Has abstractyes

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