Evidence map›Paper›PMID 30918429›Full record

Observational studyWorld journal of gastroenterology2019

Diffusion-weighted magnetic resonance imaging and micro-RNA in the diagnosis of hepatic fibrosis in chronic hepatitis C virus.

Tarek Besheer, Hatem Elalfy, Mohamed Abd El-Maksoud, Ahmed Abd El-Razek, Saher Taman, Khaled Zalata, Wagdy Elkashef, Hossam Zaghloul, Heba Elshahawy, Doaa Raafat and 4 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in World journal of gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  5. [Expert consensus on MRI diagnosis of liver fibrosis in chronic hepatitis B (version 2023)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023
    Article
  6. Role of noncoding RNAs in liver fibrosis.World journal of gastroenterology · 2023
    Review
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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

14 authors at 1 institution in 1 country.

Tarek BesheerDepartment of Tropical Medicine and Hepatology, Mansoura Faculty of Medicine - Mansoura University, Mansoura 35111, Egypt.
Hatem ElalfyDepartment of Tropical Medicine and Hepatology, Mansoura Faculty of Medicine - Mansoura University, Mansoura 35111, Egypt.
Mohamed Abd El-MaksoudDepartment of Tropical Medicine and Hepatology, Mansoura Faculty of Medicine - Mansoura University, Mansoura 35111, Egypt.
Ahmed Abd El-RazekDepartment of Diagnostic Radiology, Mansoura Faculty of Medicine - Mansoura University, Mansoura 35111, Egypt.
Saher TamanDepartment of Diagnostic Radiology, Mansoura Faculty of Medicine - Mansoura University, Mansoura 35111, Egypt.
Khaled ZalataDepartment of Pathology, Mansoura Faculty of Medicine - Mansoura University, Mansoura 35111, Egypt.
Wagdy ElkashefDepartment of Pathology, Mansoura Faculty of Medicine - Mansoura University, Mansoura 35111, Egypt.
Hossam ZaghloulDepartment of Clinical Pathology, Mansoura Faculty of Medicine - Mansoura University, Mansoura 35111, Egypt.
Heba ElshahawyDepartment of Clinical Pathology, Mansoura Faculty of Medicine - Mansoura University, Mansoura 35111, Egypt.
Doaa RaafatDepartment of Clinical Pathology, Mansoura Faculty of Medicine - Mansoura University, Mansoura 35111, Egypt.
Wafaa ElemshatyDepartment of Clinical Pathology, Mansoura Faculty of Medicine - Mansoura University, Mansoura 35111, Egypt.
Eman ElsayedDepartment of Clinical Pathology, Mansoura Faculty of Medicine - Mansoura University, Mansoura 35111, Egypt.
Abdel-Hady El-GilanyDepartment of Public Health and Preventive Medicine, Mansoura Faculty of Medicine - Mansoura University, Mansoura 35111, Egypt.
Mahmoud El-BendaryDepartment of Tropical Medicine and Hepatology, Mansoura Faculty of Medicine - Mansoura University, Mansoura 35111, Egypt. mm_elbendary@mans.edu.eg.
Mansoura University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiffusion-weighted magnetic resonance imaging has shown promise in the detection and quantification of hepatic fibrosis. In addition, the liver has numerous endogenous micro-RNAs (miRs) that play important roles in the regulation of biological processes such as cell proliferation and hepatic fibrosis.

aimTo assess diffusion-weighted magnetic resonance imaging and miRs in diagnosing and staging hepatic fibrosis in patients with chronic hepatitis C.

methodsThis prospective study included 208 patients and 82 age- and sex-matched controls who underwent diffusion-weighted magnetic resonance imaging of the abdomen, miR profiling, and liver biopsy. Pathological scoring was classified according to the METAVIR scoring system. The apparent diffusion coefficient (ADC) and miR were calculated and correlated with pathological scoring.

resultsThe ADC value decreased significantly with the progression of fibrosis, from controls (F0) to patients with early fibrosis (F1 and F2) to those with late fibrosis (F3 and F4) (median 1.92, 1.53, and 1.25 × 10

conclusionCombining ADC and miRs offers an alternative surrogate non-invasive diagnostic tool for diagnosing and staging hepatic fibrosis in patients with chronic hepatitis C.

Indexed as

Diffusion Magnetic Resonance ImagingAdultBiomarkersBiopsyCase-Control StudiesCirculating MicroRNADisease ProgressionFemaleGene Expression ProfilingHepatitis C, ChronicHumansImage Processing, Computer-AssistedLiverLiver CirrhosisMaleMiddle AgedBiomarkersCirculating MicroRNADiffusionFibrosisHepatitis C virusLiverMagnetic resonance imagingMicro-RNA

Identifiers

PMID30918429
PMCPMC6429339
OpenAlexW2924655145

What OpenQuestion holds

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LicenceCC BY-NC
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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.