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Record W2109947215 · doi:10.1016/s1072-7515(03)00600-8

Laparoscopic antrectomy: a novel approach to treating watermelon stomach

2003· article· en· W2109947215 on OpenAlexaff
Vadim Sherman, Dennis Klassen, Liane S. Feldman, Mansour Jabbari, Victoria Marcus, Gerald M. Fried

Bibliographic record

VenueJournal of the American College of Surgeons · 2003
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Bleeding Diagnosis and Treatment
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineStomachGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

Watermelon stomach, a subset of gastric antral vascular ectasia (GAVE), is a rare but significant cause of gastrointestinal blood loss. The disease usually presents in the elderly, primarily in women. GAVE was first recognized in 1984; Jabbari and colleagues described the endoscopic appearance as parallel longitudinal red columns along mucosal folds, radiating from the pylorus and resembling the exterior of a watermelon. Diagnosis cannot be made solely on endoscopic appearance because the mucosal appearance may be confused with gastritis. GAVE may also present as a punctate type in which sharply demarcated, punctate red spots are diffusely scattered throughout the antrum. Diagnosis is confirmed pathologically; the dominant features have been described as dilated mucosal capillaries, often with fibrin thrombi, and fibromuscular hyperplasia of the lamina propria. A wide variety of treatments have been reported in the literature including long-term corticosteroids, eel calcitonin injection, -interferon, coagulation with argon plasma coagulator, neodymium:yttrium-aluminum garnet laser therapy, and antrectomy.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.266
Teacher spread0.246 · 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 designCase report
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

Citations26
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American College of SurgeonsSame topicGastrointestinal Bleeding Diagnosis and TreatmentFrench-language works237,207