Evidence map›Paper›PMID 36771394›Full record

ReviewNutrients2023

Understanding NAFLD: From Case Identification to Interventions, Outcomes, and Future Perspectives.

Daniel Clayton-Chubb, William Kemp, Ammar Majeed, John S Lubel, Alex Hodge, Stuart K Roberts

Open access · goldAbstract readReview
In one paragraph

Review in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
8.2field-weighted citation impact, top 2% of its field
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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Daniel Clayton-ChubbDepartment of Gastroenterology, The Alfred Hospital, Melbourne, VIC 3004, Australia.ORCID 0000-0001-7479-9669
William KempDepartment of Gastroenterology, The Alfred Hospital, Melbourne, VIC 3004, Australia.ORCID 0000-0002-0787-7273
Ammar MajeedDepartment of Gastroenterology, The Alfred Hospital, Melbourne, VIC 3004, Australia.
John S LubelDepartment of Gastroenterology, The Alfred Hospital, Melbourne, VIC 3004, Australia.
Alex HodgeDepartment of Gastroenterology, Eastern Health, Box Hill, VIC 3128, Australia.
Stuart K RobertsDepartment of Gastroenterology, The Alfred Hospital, Melbourne, VIC 3004, Australia.
The Alfred Hospital · AUEastern Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While non-alcoholic fatty liver disease (NAFLD) is a prevalent and frequent cause of liver-related morbidity and mortality, it is also strongly associated with cardiovascular disease-related morbidity and mortality, likely driven by its associations with insulin resistance and other manifestations of metabolic dysregulation. However, few satisfactory pharmacological treatments are available for NAFLD due in part to its complex pathophysiology, and challenges remain in stratifying individual patient's risk for liver and cardiovascular disease related outcomes. In this review, we describe the development and progression of NAFLD, including its pathophysiology and outcomes. We also describe different tools for identifying patients with NAFLD who are most at risk of liver-related and cardiovascular-related complications, as well as current and emerging treatment options, and future directions for research.

Indexed as

Cardiovascular DiseasesInsulin ResistanceNon-alcoholic Fatty Liver DiseaseDisease ProgressionHumanscardiovascular diseasecirrhosisMAFLDmetabolic syndromeNAFLDNASHnon-invasive tests

Identifiers

PMID36771394
PMCPMC9921401
OpenAlexW4318587955

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.