The Updated Sydney System: Classification and Grading of Gastritis as the Basis of Diagnosis and Treatment
Bibliographic record
Abstract
In recent years, the importance of the histological diagnosis of gastritis on the basis of routinely obtained antral and corpus biopsies has increased enormously, which is owed not least of all to the discovery of Helicobacter pylori. The introduction of the Sydney system made it possible, for the first time, to grade histological parameters, identify topographical distribution and, finally, make a statement about the etiopathogenesis of the gastritis. Of pathogenetic importance is, in the first instance, the differentiation between gastritis with and gastritis without H pylori infection. The group of H pylori-associated gastritis can be further subdivided into forms of gastritis whose morphological distribution patterns usually identify them as sequelae of H pylori infection, while the group of gastritis unassociated with H pylori, can be differentiated into autoimmune, chemically induced reactive gastritis, ex-H pylori gastritis, Helicobacter heilmannii gastritis, Crohn's gastritis and a number of special forms of gastritis.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".