ReviewHistology and histopathology2025
Morphologic and molecular diagnostic criteria of malignancies in biliary strictures.
Review in Histology and histopathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Morpho-molecular approach (NGSPathologica · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The differential diagnosis of benign and malignant biliary strictures is not always feasible and still represents a major diagnostic challenge, mainly due to the scarcity of the tissue retrieved for proper cytological or histopathological diagnosis. The present review focuses on morphological criteria in the diagnosis of biliary strictures, in the course of primary sclerosing cholangitis and other pathologies, starting from the limits of the cytological and histological evaluation, as well as the ancillary methodologies currently available in Pathology laboratories The current guidelines suggest fluorescence
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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 OpenQuestion graph.