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Clinical characteristics of gastroesophageal reflux disease in the aged patients

2010· article· en· W3031556690 on OpenAlexaboutno aff
Kun-yan Hao, Lin Lin, Xueliang Li, Liuqin Jiang, Xinmin Si, Meifeng Wang, Yilin Wang

Bibliographic record

VenueZhonghua xiaohua zazhi · 2010
Typearticle
Languageen
FieldMedicine
TopicMedical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsHeartburnGERDMedicineRegurgitation (circulation)RefluxInternal medicineGastroenterologyQuality of life (healthcare)NerdIncidence (geometry)Reflux esophagitisVitalityEsophagitisDisease

Abstract

fetched live from OpenAlex

Objective To analyze clinical characteristics of gastroesophageal reflux disease(GERD) in aged patients for improvement of diagnosis and treatemcnt. Methods The reflux disease questionnaire was performed in patients diagnosed as GERD based on Montreal definition and classification as well as Rome Ⅲ criteria.All patients were divided into elderly group (≥65 years) and control group(<65 years). The incidence of hita[ hernia (HH), the frequencies of esophagitis (based on Los Angeles classification), clinical features, and quality of life were compared between two groups. Results There was no difference between two groups in male/female ratio and morbidity of HH(P>0.05). In comparison with control group, the frequency of esophagitis graded as LC or LD increased and extra-esophageal symptoms were higher in elderly group (P< 0.05), but the lower typical symptoms (heartburn and regurgitation) were seen in the elderly group(P<0.05). The scores of role physical, bodily pain and role emotional were higher in elderly group than those in control group (P<0.05). There was no significant differences between two groups in physical function, vitality,social functioning, mental health, and general health. Conclusion The elderly GERD patients often have lower score of typical reflux symptoms (heartburn and regurgitation) and high incidence of severer esophagitis, but their quality of life is not significantly influenced. Key words: Gastroesophageal;  Aged;  Esophagitis reflux;  Quality of life

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)0.005
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 score0.021
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
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 integrity0.0000.001
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 head0.026
GPT teacher head0.368
Teacher spread0.342 · 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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