Evidence map›Paper›PMID 33409196›Full record

ArticleJournal of family medicine and primary care2020

Detection and distribution of genotypes of Hepatitis C in a tertiary care hospital.

Upasana Bhumbla, Laveena Shekhawat, Aditi Kothari, Jatin Rao

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Upasana BhumblaAssistant Professor, Geetanjali Medical College and Hospital, Udaipur, India.
Laveena ShekhawatPG Student, Department of Microbiology, Geetanjali Medical College and Hospital, Udaipur, India.
Aditi KothariPG Student, Department of Microbiology, Geetanjali Medical College and Hospital, Udaipur, India.
Jatin RaoPG Student, Department of Microbiology, Geetanjali Medical College and Hospital, Udaipur, India.
Rabindranath Tagore Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis C virus (HCV) has emerged as a leading cause of chronic hepatitis and hepatocellular carcinoma. Thus, this study was undertaken for detection and to observe genotypic distribution of the virus in this geographical region. AIMS AND

objectivesThe aim of the study was to quantitatively detect HCV RNA in Hepatitis C patients and to determine the distribution pattern of its genotypes by real time polymerase chain reaction. MATERIALS AND

methodsThis is a retrospective study conducted in a tertiary care hospital. In seropositive Hepatitis C patients, quantification of HCV-RNA was done by real time PCR and in HCV-RNA positive samples, genotyping for HCV was conducted.

resultA total of 300 patients were recruited in the study, of which 165 were anti HCV positive and among them, 127 were HCV-RNA positive. These positive samples were further subjected to genotype determination using real time PCR. 98 samples were positive for genotype, where genotype 3 was seen in 90 patients, genotype 1, in 3 patients and genotype 4, in 5 patients.

conclusionKnowledge of genotype is crucial for management of HCV infection and prediction of prognosis. Patients infected with HCV genotype 1 and 4 will have to receive IFN and ribavirin for a period of 48 weeks and show a poor sustained viral response. On the contrary, patients infected with HCV genotype 2 and 3 are reported to have better response to therapy.

Indexed as

Anti HCVHCV genotypeHCV-RNAhepatitis C virus

Identifiers

PMID33409196
PMCPMC7773124
OpenAlexW3097001377

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.