Causes of Dysphagia in a Tertiary-Care Swallowing Center
Bibliographic record
Abstract
OBJECTIVES: Dysphagia can be caused by a myriad of disease processes, and it has significant impacts on patients' quality of life, life expectancy, and economic burden. To date, the most common causes of dysphagia in outpatient tertiary-care swallowing centers are unknown. We undertook this study to determine these prevalences. We also describe the diagnostic techniques utilized to establish the diagnosis. METHODS: The electronic charts of 100 consecutive patients who presented to an outpatient tertiary-care university swallowing center between January 2010 and April 2011 were retrospectively reviewed. Information regarding patient demographics, validated symptom surveys, diagnostic workups, and ultimate diagnoses was abstracted and tabulated into a central database. Descriptive statistics were used to evaluate the association between patient symptoms and diagnoses. RESULTS: The mean age of the entire cohort was 62 +/- 13.5 years, and 58% of the cohort was male. The most common identified causes of dysphagia were reflux (27%), postirradiation dysphagia (14%), and cricopharyngeus muscle dysfunction (11%). In 13% of cases, the cause of dysphagia was undetermined. The diagnostic tests utilized included flexible laryngoscopy (71%; 17% with endoscopic swallow evaluation), modified barium swallow study (45%), esophagoscopy (35%), barium esophagography (21%), manometry (10%), and ambulatory pH testing (2%). CONCLUSIONS: The most common causes of dysphagia in a tertiary-care swallowing center are reflux, postirradiation dysphagia, and cricopharyngeus muscle dysfunction. A precise cause for the symptom could not be identified in 13% of our cohort. Endoscopic visualization (laryngoscopy, flexible endoscopic evaluation of swallowing, and transnasal esophagoscopy) and fluoroscopic swallow studies were the investigations most often utilized. These techniques can be used to arrive at a diagnosis in 80% of cases.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".