ReviewZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2026
[Ultrasound technologies' new clinical application for chronic liver diseases].
Review in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 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
5 authors.
Funding
Abstract
Chronic liver disease and its complications impose a heavy burden，and the limits of liver biopsy tests have rendered non-invasive assessment an urgent clinical need. Multiple novel parameters，such as elasticity，viscosity，fat quantification，and micro-flow imaging，have been established as reliable methods for staging liver fibrosis，monitoring inflammatory activity，and quantifying steatosis，providing considerable potential for diagnosis，disease monitoring，and prognostic management of chronic liver diseases via ultrasonically technology at an early stage. Challenges such as the non-universal nature of diagnostic thresholds，interference from confounding factors，and a lack of technical standardization remain，despite the considerable value of each technology. Therefore，the integration of multiple parameters and artificial intelligence models may be a breakthrough direction in the future.
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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.