Evidence map›Paper›PMID 38912403›Full record

ArticleMedicine and pharmacy reports2021

Surrogate markers in non-alcoholic steatohepatitis.

Abdulrahman Ismaiel, Dan L Dumitrascu

Abstract read
In one paragraph

Article in Medicine and pharmacy reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

2 authors.

Abdulrahman Ismaiel2 Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Dan L Dumitrascu2 Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatic steatosis with inflammation, inflated hepatocytes, and potential fibrosis defines non-alcoholic steatohepatitis (NASH), which can possibly lead to liver cirrhosis. Although liver biopsy is still the gold standard for diagnosing NASH, numerous non-invasive surrogate markers have been investigated to reduce the need for this invasive technique. In this review we present several currently assessed biomarkers, scores, and indexes in assessing NASH. Methods: A search in the main medical literature databases was conducted. We searched for observational studies evaluating non-invasive markers, scores, and panels in predicting NASH. Results: Several proinflammatory markers, inflammation and apoptosis biomarkers, as well as complex models have been studied in predicting NASH. Proinflammatory markers include C-reactive protein, ferritin, tumor necrosis factor-α, interleukin-6, pentraxin-3, and neutrophil extracellular traps. Inflammation and apoptosis biomarkers include cytokineratin-18, adipocytokines, lipid oxidation panels, plasminogen activator inhibitor-1, and products of free radical-mediated oxidation of linoleic acid. Moreover, several studied complex models such as NashTest, NashTest-2, pairing CK18 fragments with other biomarkers such as ALT and the presence of MetS, the HAIR model, acNASH, NAFIC score, Visceral Adiposity Index have also been studied. Conclusion: A variety of diagnostic panels have shown good predictive values for diagnosing NASH. Nevertheless, non-invasive surrogate markers are currently unable to replace liver biopsy. However, their clinical significance is mainly in triaging patients for liver biopsy, reducing the financial burden associated with the procedure.

Indexed as

biomarkerscytokeratin-18 (CK-18)liver biopsyNASH panelsnon-alcoholic steatohepatitis (NASH)non-invasivesurrogate markers

Identifiers

PMID38912403
PMCPMC11188026

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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.