ArticleJournal of translational internal medicine2017
Early Detection of Liver Damage in Mexican Patients with Chronic Liver Disease.
Article in Journal of translational internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 22 citations in OpenAlex.
- The fat-mass and obesity-associated gene rs9939609 T allele is prominent among the native Mexican population and is associated with risk for Type 2 diabetes and metabolic dysfunction-associated steatotic liver disease.Frontiers in nutrition · 2025Article
- Advances in the Elimination of Viral Hepatitis in Mexico: A Local Perspective on the Global Initiative.Pathogens (Basel, Switzerland) · 2024Review
- Epidemiology of Hepatitis C Virus in HIV Patients from West Mexico: Implications for Controlling and Preventing Viral Hepatitis.Pathogens (Basel, Switzerland) · 2024Article
- Hepatitis B Virus Genotype H: Epidemiological, Molecular, and Clinical Characteristics in Mexico.Viruses · 2023Review
- Article
- High prevalence of nonalcoholic steatohepatitis and abnormal liver stiffness in a young and obese Mexican population.PloS one · 2019Article
- Current trends of liver cirrhosis in Mexico: Similitudes and differences with other world regions.World journal of clinical cases · 2018Article
- High expression of type I inositol 1,4,5-trisphosphate receptor in the kidney of rats with hepatorenal syndrome.World journal of gastroenterology · 2018Article
- Epidemiology and health care burden of autoimmune liver diseases in Mexico.Clinical liver diseaseReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveLiver cirrhosis is usually detected at the later stages of disease. This study is aimed to detect liver damage in patients with chronic liver disease using transitional elastography (TE) and to assess the biochemical parameters associated with liver damage.
methodsIn 578 patients, chronic liver disease based on etiology was diagnosed by clinical and laboratory tests. Liver damage was evaluated with TE (FibroScan®), while its association with biochemical parameters was performed using the logistic regression tests.
resultsOverall, the main etiologies of liver damage were hepatitis C virus (HCV) (37%), alcoholic liver disease (ALD) (33%) and non-alcoholic steatohepatitis (NASH) (26%). Patients were 40 to 50 years of age. ALD and hepatitis B prevailed in men, whereas HCV and NASH in women. The stages of fibrosis were F0 (
conclusionAsymptomatic liver disease due to HCV, ALD and NASH prevailed in young adults. Advanced liver damage assessed by TE was associated with five biochemical parameters. In conjunction, both methodologies may be useful for the early detection of fibrosis and cirrhosis in Latin America.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.