MétaCan
Menu
Back to cohort
Record W1994460088 · doi:10.1086/315394

<i>cagE</i>Is a Virulence Factor Associated with<i>Helicobacter pylori</i>–Induced Duodenal Ulceration in Children

2000· article· en· W1994460088 on OpenAlexaff
Andrew S. Day, Nicola L. Jones, Jennifer Lynett, Hilary A. Jennings, Carlo A Fallone, Robin N. Beech, Philip M. Sherman

Bibliographic record

VenueThe Journal of Infectious Diseases · 2000
Typearticle
Languageen
FieldMedicine
TopicHelicobacter pylori-related gastroenterology studies
Canadian institutionsMcGill UniversityMcGill University Health CentreUniversity of TorontoSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsHelicobacter pyloriCageCagAGastritisVirulenceGastroenterologyDuodenal ulcerPolymerase chain reactionSpirillaceaeMicrobiologyInternal medicineBiologyMedicineGeneGenetics

Abstract

fetched live from OpenAlex

This study was undertaken to determine whether infection with Helicobacter pylori strains that contain the cagE gene was associated with duodenal ulceration in children. The presence of flaA, cagA, and cagE genes was determined by polymerase chain reaction in H. pylori previously cultured from 29 children. Twelve (92%) of 13 children with duodenal ulcers were infected with cagE-positive isolates, compared with only 5 (31%) of 16 with gastritis alone (P<.01). Infection of gastric cells in tissue culture by cagE-positive H. pylori resulted in greater increments in interleukin-8 levels compared with cagE-negative strains (2.3+/-0.1 vs. 1.3+/-0.2 ng/mL in AGS cells [P<.005]; 1.5+/-0.3 vs. 0.5+/-0.2 ng/mL in KATO-III cells [P<.05]). H. pylori-containing cagE was associated with the presence of duodenal ulceration in children. Enhanced chemokine production after infection with cagE-positive H. pylori could affect disease outcome.

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)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.237
Teacher spread0.228 · 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

Citations73
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Infectious DiseasesSame topicHelicobacter pylori-related gastroenterology studiesFrench-language works237,207