Evidence map›Paper›PMID 29238510›Full record

ReviewElectronic physician2017

Epidemiology, transmission, diagnosis, and outcome of Hepatitis C virus infection.

Seyed Hamid Moosavy, Parivash Davoodian, Mirza Ali Nazarnezhad, Abdolazim Nejatizaheh, Ebrahim Eftekhar, Hamidreza Mahboobi

Open access · goldAbstract readReview
In one paragraph

Review in Electronic physician, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Design of a native-like secreted form of the hepatitis C virus E1E2 heterodimer.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  14. Observational
  15. [Distribution characteristics of hepatitis C virus genotypes in Xinjiang].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2020
    Article
  16. Platelet to lymphocyte ratio as a predictive biomarker of liver fibrosis (on elastography) in patients with hepatitis C virus (HCV)-related liver disease.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2020
    Article
  17. Review
  18. Monitoring liver transplant rates in persons diagnosed with hepatitis C: a data linkage study, England 2008 to 2017.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019
    Observational
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Seyed Hamid MoosavyM.D., Gastroenterologist and Hepatologist, Associate Professor, Department of Internal Medicine, Infectious and Tropical Disease Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Hormozgan, Iran.
Parivash DavoodianM.D., Infectionist, Associate Professor, Infectious and Tropical Disease Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Hormozgan, Iran.
Mirza Ali NazarnezhadM.D., Ph.D. Candidate of Infectious and Tropical Disease, Infectious and Tropical Disease Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Hormozgan, Iran.
Abdolazim NejatizahehPh.D. of Genetics, Associate Professor, Molecular Medicine Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Hormozgan, Iran.
Ebrahim EftekharPh.D. of Clinical Biochemistry, Assistant Professor, Molecular Medicine Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Hormozgan, Iran.
Hamidreza MahboobiM.D., Resident of Internal Medicine, Infectious and Tropical Disease Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Hormozgan, Iran.
Hormozgan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis C infection is one of the main causes of chronic liver disorders worldwide. Nearly three percent (3%) of the world population has an HCV infection. Prevalence of HCV infection was higher in some groups such as injected drug users (IDUs) and HIV positive populations. Acute hepatitis has proven asymptomatic in most cases, and delay of diagnosis might lead to late onset of hepatocellular carcinoma and cirrhosis. Some host characteristics such as age, gender, body mass index, and viral properties are associated with HCV outcome hepatitis. Although disease progression is typically slow, some risk factors such as alcohol abuse and coinfection of patients with HBV and HIV can worsen the disease. On the other hand, viral overload is one of the main causes of prediction of HCV infection outcome. Prevalence of HCV infection will increase if we do not consider means of transmission, virus behaviors, and immunologic responses. Rapid diagnostic tests can help us to create preventive strategies among undeveloped villages and prisoners. Screening and training of the high-risk population such as IV drug users, dialysis patients, and hemophiliacs must be one of main HCV preventive programs. The present review is intended to help health policymakers to design suitable preventive and management programs.

Indexed as

EpidemiologyHepatitis COutcomePrevalence

Identifiers

PMID29238510
PMCPMC5718874
OpenAlexW2767767092

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.