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Are Troublesome GERD-Related Symptoms Reflecting Characteristics of the Disease or the Patient?

2008· article· en· W2978176261 on OpenAlexaboutno aff
Enrique Rey, Javier Zapardiel, Mercedes Muñoz, Eduardo Sobreviela

Bibliographic record

VenueThe American Journal of Gastroenterology · 2008
Typearticle
Languageen
FieldMedicine
TopicGastroesophageal reflux and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsGERDMedicineHeartburnLogistic regressionDiseaseRegurgitation (circulation)Primary careInternal medicineRefluxNerdPhysical therapyFamily medicine

Abstract

fetched live from OpenAlex

Purpose: Definition of gastroesophageal reflux disease (GERD) is a debatable issue. It has been proposed that typical symptoms are constitutive of GERD if they are considered by the subjects as “troublesome” (Montreal Consensus). However, it is unknown to what extent reporting symptoms as troublesome is dependent on characteristics of subjects or symptoms themselves, and what are the differences between symptoms reported as troublesome and not, both in symptomatic subjects with and without PPI treatment. Our aim was to evaluate the differences between troublesome (TS) and non troublesome symptoms (NTS) and wich are the factors associated with TS in primary care subjects. We also aim to evaluate what the factors are associated with persistent GERD (persistence of TS) despite PPI therapy. Methods: Design: multi-centric cross-sectional survey. Patients attending Primary care centres in Spain consulting with heartburn or acid regurgitation were recruited. All of them completed a set of questionnaires, including a question to self-define their symptoms as TS or NTS (“Do you consider your heartburn and/or regurgitation symptoms as troublesome?”). Frecuency of symptoms was collected using the RDQ and GIS questionnaires. Data regarding sociodemographic variables, comorbidities, co-medications and treatment (drug and doses) were collected by the primary care physician. A logistic regression model was constructed to predict the presence of TS in patients without PPI therapy. Another logistic regression model was contructed to assess factors associated with TS under PPI treatment. Results: 4,574 patients were included; 1,887 without previous PPI treatment and 2,596 on PPI treatment. Among those without PPI treatment, 1,650 reported their symptoms as troublesome, while 237 did not. Patients with TS were slightly older, male gender was more frequent, and a higher proportion suffered from hypercholesteremia. In the regression model to predict TS, all the variables were symptom-related except hypercolesteloremia: frequency of regurgitation, frequency of epigastric burning pain, and frequency of sleeping problems. Of those on PPI treatment, 2,596 reported TS and 238 did not. There were not differences between patients with TS and TNS in subject's related factors, but smoking. In the regression model, factors associated with TS on PPI therapy were all symptom-related: frequency of regurgitation and frequency of sleeping problems. Conclusion: The symptom perception as troublesome depended mostly on the characteristic of the symptoms, especially the frequency of acid regurgitation and nocturnal symptoms. The same variables are considered as predictive factors of TS symptoms in naïve patients and patients under PPI treatment.

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)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.281
Teacher spread0.259 · 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 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

Citations0
Published2008
Admission routes1
Has abstractyes

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