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Endoscopy of the esophagus in gastroesophageal reflux disease: are we losing sight of symptoms? Another perspective

2009· article· en· W1963654031 on OpenAlexaffabout
Prateek Sharma, William D. Chey, Richard H. Hunt, Loren Laine, Peter Malfertheiner, Sachin Wani

Bibliographic record

VenueDiseases of the Esophagus · 2009
Typearticle
Languageen
FieldMedicine
TopicGastroesophageal reflux and treatments
Canadian institutionsMcMaster University Medical Centre
Fundersnot available
KeywordsGERDMedicineEsophagusRefluxDiseaseEndoscopyInternal medicineQuality of life (healthcare)GastroenterologyEsophagitisGold standard (test)HeartburnEsophageal diseaseIntensive care medicineNursing

Abstract

fetched live from OpenAlex

Gastroesophageal reflux disease (GERD) is an extremely common chronic disorder associated with impaired quality of life and huge economic burden. Recently, an International Consensus Group developed a global definition of GERD (The Montreal Definition): a condition that develops when the reflux of stomach contents causes troublesome symptoms and/or complications. The traditional endoscopy-based classification of GERD patients into one of three groups - non-erosive reflux disease, erosive esophagitis, and Barrett's esophagus - is fraught with several limitations. Due to the lack of a gold standard, GERD is a symptom-based diagnosis, and hence symptom evaluation will remain the primary means by which treatment decisions are made for patients with suspected GERD. We propose that patients reporting the predominant GERD-like symptoms (GERS) in the primary care setting be classified based upon their response to an empiric trial of acid suppressive therapy: complete response to acid suppressive therapy, partial response to acid suppressive therapy, and no response to acid suppressive therapy. Given the limitations of objective medical testing, implementation of our proposed new symptom-based classification of patients with GERS would guide primary care physicians on when to refer patients to a gastroenterologist, which in turn could help in better resource utilization. Validation of this proposed classification by well-designed prospective multicenter studies is awaited.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.280
Teacher spread0.269 · 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.

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

Citations11
Published2009
Admission routes2
Has abstractyes

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