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Record W2324097646 · doi:10.1155/2002/230817

Motion – Laparoscopic Nissen Fundoplication Is More Cost Effective Than Oral PPI Administration: Arguments for the Motion

2002· review· en· W2324097646 on OpenAlexvenueno aff
Lee L. Swanström

Bibliographic record

VenueCanadian Journal of Gastroenterology · 2002
Typereview
Languageen
FieldMedicine
TopicGastroesophageal reflux and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNissen fundoplicationDiseaseRefluxIntensive care medicineGERDSurgeryGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

Gastroesophageal reflux disease is a mechanical disorder of the foregut. While medications can only provide symptom relief, surgery can correct the pathophysiological abnormality of the lower esophageal sphincter. The costs of medical and surgical therapy are much greater than the costs of medication or hospitalization alone. In the case of medical therapy, one must consider the costs of serial monitoring and of failed treatment. The effectiveness of treatment also depends on patient-related factors, including weight, socioeconomic factors, smoking, alcohol use, dietary habits and the use of nonsteroidal anti-inflammatory drugs. Surgical results depend on the experience and skill of the surgeon, as well as the attributes of the institution in which the procedure is undertaken. Therefore, studies that come from specialized centres may not be applicable to the community. Data from the author's facility indicate that laparoscopic Nissen fundoplication is the most cost effective option when it is undertaken by experienced surgeons on otherwise healthy patients who have documented gastroesophageal reflux disease.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.046
GPT teacher head0.341
Teacher spread0.295 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2002
Admission routes1
Has abstractyes

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