Evidence map›Paper›PMID 37814734›Full record

ReviewCureus2023

Advancements in Diagnostic and Therapeutic Interventions of Non-alcoholic Fatty Liver Disease: A Literature Review.

Ahtshamullah Chaudhry, Jawad Noor, Saima Batool, Ghulam Fatima, Riwad Noor

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
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

5 authors at 3 institutions in 2 countries.

Ahtshamullah ChaudhryInternal Medicine, St. Dominic Hospital, Jackson, USA.
Jawad NoorInternal Medicine, St. Dominic Hospital, Jackson, USA.
Saima BatoolPathology, Nishtar Medical University, Multan, PAK.
Ghulam FatimaInternal Medicine, Medical Unit, Abbasi Shaheed Hospital, Karachi, PAK.
Riwad NoorPublic Health, Nishtar Hospital, Multan, PAK.
Abbasi Shaheed Hospital · PKSt. Francis Hospital · USNishtar Medical College and Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-alcoholic fatty liver disease (NAFLD) is one of the most common diseases of the liver globally. Non-alcoholic steatohepatitis (NASH) has a complicated pathophysiology which includes lipid buildup, oxidative stress, endoplasmic reticulum stress, and lipotoxicity. Recently, there has been tremendous improvement in understanding of NASH pathogenesis due to advancements in the scientific field. It is being investigated how non-invasive circulating and imaging biomarkers can help in NAFLD and NASH diagnosis and monitoring the progress. Multiple medications are now undergoing clinical trials for the treatment of NASH, and lifestyle changes have been acknowledged as one of the main treatment methods. The purpose of this review article is to discuss the incidence of NAFLD globally, management issues with NASH, and its relation to the metabolic syndrome. It explains pathophysiology as well as therapeutic strategies using natural items, dietary changes, and pharmaceutical treatments. While emphasizing the necessity for surrogate endpoints to facilitate medication development for NASH, the study also considers the potential of non-invasive imaging biomarkers including magnetic resonance imaging (MRI) and magnetic resonance elastography (MRE).

Indexed as

diagnosticinnovationsnon-alcoholic fatty liver diseasenon-alcoholic steatohepatitistherapeutic

Identifiers

PMID37814734
PMCPMC10560588
OpenAlexW4386532048

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.