Evidence map›Paper›PMID 28969178›Full record

ArticleJournal of clinical and diagnostic research : JCDR2017

Association of Serum Lipids with Hepatic Steatosis, Stage of Liver Fibrosis and Viral Load in Chronic Hepatitis C.

Ivan Valkov, Radina Ivanova, Assen Alexiev, Krasimir Antonov, Lyudmila Mateva

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical and diagnostic research : JCDR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Rising Lysophosphatidylcholine Levels Post-Hepatitis C Clearance.International journal of molecular sciences · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Diagnostic and prognostic significance of hepatic steatosis in patients with chronic hepatitis C.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    Article
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 1 institution in 1 country.

Ivan ValkovResident and PhD Student, Clinic of Gastroenterology, University Hospital "St.Ivan Rilski", Medical University-Sofia, Bulgaria.
Radina IvanovaAssociate Professor, Laboratory of Clinical Pathology, University Hospital "St.Ivan Rilski", Medical University-Sofia, Bulgaria.
Assen AlexievProfessor, Clinic of Gastroenterology, University Hospital "St.Ivan Rilski", Medical University-Sofia, Bulgaria.
Krasimir AntonovProfessor, Clinic of Gastroenterology, University Hospital "St.Ivan Rilski", Medical University-Sofia, Bulgaria.
Lyudmila MatevaProfessor, Head of Clinic of Gastroenterology, University Hospital "St.Ivan Rilski", Medical University-Sofia, Bulgaria.
University Hospital St. Ivan Rilski · BG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHepatitis C Virus (HCV) relies on host lipids for its life cycle contributing to lipid abnormalities and hepatic steatosis. Disease progression is influenced by viral factors interacting with host immune and metabolic pathways. The significance of serum lipids for Chronic Hepatitis C (CHC) assessment is not clearly established yet.

aimOur aim was to investigate serum lipids' association with stage of liver fibrosis, steatosis and genotypes in patients with CHC. MATERIALS AND

methodsA total of 112 CHC patients (54 male, 58 female, aged 48.6±13.7 years) were studied - 98 genotype 1 (G1) and 14 genotype 3 (G3). Liver cirrhosis (F4) was diagnosed in 31 cases. Steatosis was present in 75 of all patients on ultrasound. Liver biopsy was done in 65 patients and histology showed steatosis in 28, stages of fibrosis (F1-F3) in 56 and F4 in 9 patients (METAVIR). Laboratory panel included complete blood count, liver tests and serum lipid levels (mmol/l) with Friedewald equation estimations. Indirect noninvasive fibrosis scores FIB-4, Aspartate aminotransferase to Platelet Ratio Index (APRI) and Forns index were calculated. HCV RNA was quantified by RT-PCR. Statistical analysis included Spearman's rho, Mann-Whitney U test, Receiver Operating Characteristic (ROC) curve.

resultsTotal Cholesterol (TCh) (p=0.002) and Low-Density Lipoprotein (LDL) (p=0.003) in G1 patients were higher when steatosis was present. TCh (p<0.001), High-Density Lipoprotein (HDL) (p=0.018) and LDL (p=0.003) were lower in G1 F4 compared with F1-F3 patients. Triglyceride (TG) levels correlated with FIB-4 (r=0.364, p=0.029), APRI (r=0.333, p=0.047) and Forns index (r=0.423, p=0.010) in G1 patients without steatosis. TG to LDL ratio (TG/LDL) (p=0.001) was higher in F4 than in F1-F3 patients. TG/LDL ratio predicted the presence of F4 in G1 patients without steatosis by an area under the ROC curve 0.900 (p<0.001). TG/LDL ratio > 0.52 was highly specific for F4 without steatosis. Specificity dropped to 76% when steatosis was present. TG/LDL < 0.32 negatively predicted liver cirrhosis. HCV RNA correlated with TG levels (r=0.330, p=0.009) in G1 patients with steatosis and with histological percent of fatty hepatocytes (r=0.585, p=0.028) in G3 patients.

conclusionLipid levels in CHC G1 patients depend on the presence of steatosis and cirrhosis. HCV RNA is associated with TG levels in G1 patients with steatosis, but not in G3 patients. In cirrhotic CHC G1 patients cholesterol is low with relatively increased TG. TG/LDL ratio is a potential marker of liver cirrhosis in CHC G1 patients.

Indexed as

Apolipoprotein BCholesterolFatty liverHepatitis C virusLiver cirrhosisLow-density lipoproteinTriglycerides

Identifiers

PMID28969178
PMCPMC5620819
OpenAlexW2753053707

What OpenQuestion holds

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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.