Bibliographic record
Abstract
Population Helicobacter pylori screening and treatment has the potential to dramatically reduce global gastric cancer mortality. There is overwhelming evidence that the infection is a major cause of distal gastric adenocarcinoma. There is also randomized controlled trial evidence that H. pylori eradication reverses or ameliorates histological changes in the gastric mucosa that are important in carcinogenesis. Preliminary randomized controlled trial data suggest that screening and treatment may reduce the risk of gastric cancer although the number of cancer cases was small. Population H. pylori screening and treatment will also reduce mortality from peptic ulcer complications and reduce the burden of dyspepsia in the community. The reduction in health service dyspepsia costs means that this could be the first programme to pay for itself. From a scientific perspective, we still have insufficient evidence to conclude the benefits of population H. pylori screening are greater than the possible harms and we need more randomized controlled trial data. From a public health perspective however, sometimes screening programmes are developed with imperfect information. The medical community should be consistent and if we are instituting other population screening programmes without randomized controlled trial evidence then H. pylori testing and treatment should also be considered.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.005 |
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; both teacher heads agree on what is shown here.
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".