Definition of Barrett's Esophagus: Time for a Rethink—Is Intestinal Metaplasia Dead?
Bibliographic record
Abstract
The definition of Barrett's esophagus (BE) varies worldwide, particularly with regard to the need to identify goblet cells in esophageal biopsies in order to diagnose this condition. Problems related to the need to identify goblet cells to diagnose BE include the facts that goblet cells are uncommon in pediatric patients with BE, a small percentage of adults with columnar metaplasia of the esophagus do not contain goblet cells, the chances of detecting goblet cells are proportional to the length of columnar metaplasia, sampling error is common, and interpretation and differentiation of goblet cells vs. pseudogoblet cells may be difficult in some circumstances. In addition, goblet cells have been shown to wax and wane over the natural history of BE. Recent studies suggest that the background nongoblet epithelium in BE is biologically intestinalized, and shows a variety of molecular abnormalities similar to the goblet cell-containing epithelium. In addition, several retrospective and outcome studies suggest a well-defined risk of neoplasia in patients with esophageal columnar metaplasia, but without goblet cells. There are important clinical and economic implications to these findings and also with regard to the definition of BE. This review provides evidence to suggest that a diagnosis of BE should not require demonstration of goblet cells in mucosal biopsies, and offers considerable data to support the notion that a nongoblet epithelium is also at risk of malignancy. Guidelines for the diagnosis of BE need to consider revisions that take into account new data regarding nongoblet cell epithelium in BE, and the difficulties in recognizing columnar metaplasia that measures less than 1 cm in length.
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 | 0.020 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.007 | 0.019 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.007 | 0.020 |
| Insufficient payload (model declined to judge) | 0.004 | 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".