Evidence map›Paper›PMID 34107574›Full record

GuidelineZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2021

[Guideline for ultrasonic diagnosis of liver diseases].

Chinese Society of Ultrasound in Medicine, Oncology Intervention Committee of Chinese Research Hospital Society, National Health Commission Capacity Building And Continuing Education Expert Committee on Ultrasonic Diagnosis

Abstract readPractice Guideline
In one paragraph

Guideline in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chinese Society of Ultrasound in Medicine
Oncology Intervention Committee of Chinese Research Hospital Society
National Health Commission Capacity Building And Continuing Education Expert Committee on Ultrasonic Diagnosis

Funding

National Natural Science Foundation of China 81627803, 82030047, 91859201
6 · The paper itself

Abstract

Ultrasound is a non-invasive, real-time, inexpensive, radiation-free and easily repeatable method, usually used for liver imaging. In recent years, new ultrasound examination techniques for liver diseases such as contrast-enhanced ultrasound and elastography have been rapidly developed, which can effectively identify intrahepatic space-occupying lesions, assess the degree of liver fibrosis and portal hypertension, and monitor the effects of treatment. Therefore, these technologies play an important diagnostic role in clinical liver diseases and have therapeutic interventional value. This guideline classifies the instrument set-up, patient preparation, and physician examination methods through multimodal ultrasound examinations (gray-scale ultrasound, color Doppler ultrasound, contrast-enhanced ultrasound, elastic ultrasound) for liver diseases. In addition, liver diseases multimodal ultrasound technology diagnostic criteria for diffuse hepatic lesions (inflammatory lesions, fibrosis, and sclerosis), multiple space-occupying lesions, and interventional procedures have been defined and standardized. Concurrently, we also recommend the ultrasound monitoring time interval and diagnostic report writing standard for liver diseases.

Indexed as

Elasticity Imaging TechniquesHypertension, PortalLiver DiseasesHumansLiverLiver CirrhosisUltrasonographyDiagnosisLiverLiver cirrhosisLiver fibrosisLiver space occupying lesionUltrasound

Identifiers

PMID34107574
PMCPMC12813929

What OpenQuestion holds

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Registered trials

None linked

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.