Evidence map›Paper›PMID 35800534›Full record

ArticleJournal of family medicine and primary care2022

Epidemiological correlates of hepatitis C infection- A case control analysis from a tertiary care hospital.

Pranjl Sharma, Mahesh Satija, Anurag Chaudhary, Surinderpal Singh, Sarit Sharma, Sangeeta Girdhar, Vikram Kumar Gupta, Priya Bansal

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Pranjl SharmaDepartment of Community Medicine, Dayanand Medical College and Hospital (DMCH), Ludhiana, Punjab, India.
Mahesh SatijaDepartment of Community Medicine, Dayanand Medical College and Hospital (DMCH), Ludhiana, Punjab, India.
Anurag ChaudharyDepartment of Community Medicine, Dayanand Medical College and Hospital (DMCH), Ludhiana, Punjab, India.
Surinderpal SinghDepartment of Community Medicine, Dayanand Medical College and Hospital (DMCH), Ludhiana, Punjab, India.
Sarit SharmaDepartment of Community Medicine, Dayanand Medical College and Hospital (DMCH), Ludhiana, Punjab, India.
Sangeeta GirdharDepartment of Community Medicine, Dayanand Medical College and Hospital (DMCH), Ludhiana, Punjab, India.
Vikram Kumar GuptaDepartment of Community Medicine, Dayanand Medical College and Hospital (DMCH), Ludhiana, Punjab, India.
Priya BansalDepartment of Community Medicine, Dayanand Medical College and Hospital (DMCH), Ludhiana, Punjab, India.
Dayanand Medical College & Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatitis C virus (HCV) infection is considered one of the growing public health problems. Identification of HCV-associated risk factors is pivotal for developing appropriate prevention strategies. Objectives: To determine the epidemiological variables of HCV infection in a tertiary care hospital. Methods: This hospital-based case-control study was conducted in a tertiary care hospital in Punjab on 320 subjects, including 160 cases and controls each. Cases and controls were matched by age (±5 years), gender, and residence. A patient ≥18 years of age fulfilling the biomarker criteria with or without clinical criteria diagnosed in the last 1 month was considered as a case. The information on socio-demographic characteristics and previous exposures to selected risk factors was collected through detailed interviews of the subjects. Analysis was performed using SPSS 20 statistical software. Odds ratio (OR) with 95% confidence interval (CI) was calculated to measure the strength of association between cases and controls for each risk factor. Results: Odds of having HCV infection was significantly higher among those with a history of blood transfusion (OR: 2.30, 95%CI: 1.14-4.63), dental procedure (OR: 4.82, 95%CI: 2.38-9.77) and intravenous injection/infusion from quacks (OR: 3.26, 95%CI: 1.47-7.19), injectable drug use (OR: 26.69, 95%CI: 3.55-200.24), non-injectable drug use (OR: 2.37, 95%CI: 1.44-3.90), tattooing (OR: 7.91, 95%CI: 2.31-27.08), and piercing from street hawkers (OR: 2.25, 95%CI: 1.18-4.29). Multivariate analysis identified history of blood transfusion, dental procedure, intravenous injection/infusion from quacks, injecting drug use, and piercing as independent risk factors for HCV infection. Conclusion: The study identified multiple risk factors for acquiring HCV infection and suggest appropriate interventions targeting high-risk populations.

Indexed as

Blood transfusioncasescontrolsdental proceduresHepatitis C infectioninjecting drug userisk factors

Identifiers

PMID35800534
PMCPMC9254751
OpenAlexW4284973374

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.