ArticleInfection and drug resistance2026
Predicting
Article in Infection and drug resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Materials and Methods: We developed a weakly supervised deep learning framework to predict phenotypic Results: In the independent test set (n = 151), the framework achieved an area under the receiver operating characteristic curve (AUC) of 0.903 for CLA resistance and 0.959 for FQs resistance. At the default threshold (0.5), sensitivity was 85.2% for CLA and 98.1% for FQs, supporting use as a screening tool. Threshold optimization by the Youden index improved specificity to 95.9% for CLA and 93.9% for FQs, enabling rule-in risk stratification. Decision curve analysis confirmed net clinical benefit across a broad range of threshold probabilities. Conclusion: Routine H&E-stained gastric biopsies contain probabilistic morphological correlates of
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.