Evidence map›Paper›PMID 21198708›Full record

SynthesisAlimentary pharmacology & therapeutics2011

Systematic review: the diagnosis and staging of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis.

J K Dowman, J W Tomlinson, P N Newsome

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in Alimentary pharmacology & therapeutics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04482153 (Prevalence of Non-alcoholic Fatty Liver Disease in Patients With Chronic Kidney Disease in Assiut University Hospitals), which is not on this map. Cited by 123 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 1 pooled it
–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.

NCT04482153 unknown statusnot on this mapstarted 2020, after this paper: background citation

Prevalence of Non-alcoholic Fatty Liver Disease in Patients With Chronic Kidney Disease in Assiut University Hospitals

TypeobservationalSponsorAssiut UniversityRan2020 to 2021Enrolled80ConditionsStudy of the NAFLD in CKD Patients Using Fibroscan StudyArmsfibroscan
3 · Its place in the literature

Who cites it

123 citing papers in PubMed, 1 synthesis or guideline pooled it.

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63 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

J K DowmanCentre for Liver Research, Institute of Biomedical Research, University of Birmingham, Edgbaston, UK. j.k.dowman@bham.ac.uk
J W Tomlinson
P N Newsome

Funding

Medical Research Council G0802765Wellcome Trust
6 · The paper itself

Abstract

backgroundNon-alcoholic fatty liver disease (NAFLD) has become the most prevalent cause of liver disease in Western countries. The development of non-alcoholic steatohepatitis (NASH) and fibrosis identifies an at-risk group with increased risk of cardiovascular and liver-related deaths. The identification and management of this at-risk group remains a clinical challenge.

aimTo perform a systematic review of the established and emerging strategies for the diagnosis and staging of NAFLD.

methodsRelevant research and review articles were identified by searching PubMed, MEDLINE and EMBASE.

resultsThere has been a substantial development of non-invasive risk scores, biomarker panels and radiological modalities to identify at-risk patients with NAFLD without recourse to liver biopsy on a routine basis. These modalities and algorithms have improved significantly in their diagnosis and staging of fibrosis and NASH in patients with NAFLD, and will likely impact on the number of patients undergoing liver biopsy.

conclusionsStaging for NAFLD can now be performed by a combination of radiological and laboratory techniques, greatly reducing the requirement for invasive liver biopsy.

Indexed as

BiomarkersDisease ProgressionFatty LiverHepatitisHumansNon-alcoholic Fatty Liver DiseaseRisk FactorsBiomarkers

Identifiers

PMID21198708
PMCPMC3080668

What OpenQuestion holds

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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.