ReviewClinical liver disease2017
Elastography to assess the stage of liver fibrosis in children: Concepts, opportunities, and challenges.
Review in Clinical liver disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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
18 citing papers in PubMed.
- Performance of Blood-Based Indirect Scores Compared to Transient Elastography in Children with Chronic Liver Disease.Diagnostics (Basel, Switzerland) · 2026Article
- T1 Mapping of the Abdomen, From theAJR. American journal of roentgenology · 2025Review
- Spleen stiffness in a healthy pediatric population undergoing liver magnetic resonance elastography.Pediatric radiology · 2025Article
- Technical Success and Reliability of Magnetic Resonance Elastography in Patients with Hepatic Iron Overload.Academic radiology · 2024Article
- Liver cirrhosis in children - the role of imaging in the diagnostic pathway.Pediatric radiology · 2023Article
- Liver and spleen volume and stiffness in patients post-Fontan procedure and patients with ARPKD compared to normal controls.Clinical imaging · 2022Article
- Basics of magnetic resonance imaging and quantitative parameters T1, T2, T2*, T1rho and diffusion-weighted imaging.Pediatric radiology · 2022Review
- Machine Learning Evaluation of Biliary Atresia Patients to Predict Long-Term Outcome after the Kasai Procedure.Bioengineering (Basel, Switzerland) · 2021Article
- Imaging Modalities in Pediatric NAFLD.Clinical liver disease · 2021Review
- Magnetic resonance elastography to quantify liver disease severity in autosomal recessive polycystic kidney disease.Abdominal radiology (New York) · 2021Article
- MR Elastography of the Abdomen: Basic Concepts.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Comparison of liver T1 relaxation times without and with iron correction in pediatric autoimmune liver disease.Pediatric radiology · 2020Article
- Significance of progressive liver fibrosis in pediatric liver transplants: A review of current evidence.World journal of gastroenterology · 2020Review
- 3D MR elastography of the pancreas in children.Abdominal radiology (New York) · 2019Article
- Magnetic resonance elastography SE-EPI vs GRE sequences at 3T in a pediatric population with liver disease.Abdominal radiology (New York) · 2019Article
- Ultrasound Shear Wave Elastography as a Measure of Porcine Hepatic Disease in Right Heart Dysfunction: A Pilot Study.Ultrasound in medicine & biology · 2018Article
- Using T1 mapping in cardiovascular magnetic resonance to assess congestive hepatopathy.Abdominal radiology (New York) · 2018Article
- Putting it all together: established and emerging MRI techniques for detecting and measuring liver fibrosis.Pediatric radiology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Identifiers
What OpenQuestion 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 OpenQuestion graph.