Evidence map›Paper›PMID 34017721›Full record

ArticleJournal of family medicine and primary care2021

Predictive factors for acquiring HCV infection in the population residing in high endemic, resource-limited settings.

Samreen Khan, Sabeen Shah, Hiba Ashraf

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

3 authors.

Samreen KhanResident Family Physician, The Indus Hospital, Karachi, Pakistan.
Sabeen ShahHepatitis C Control Program Manager, Global Health Directorate, Indus Health Network, Karachi, Pakistan.
Hiba AshrafFamily Medicine Department, The Indus Hospital, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn a country like Pakistan, a high prevalence of HCV persists due to a lack of awareness among the masses and the absence of adequate medical facilities in less privileged areas. Therefore, this study aimed to develop a risk-based screening tool based on the identification of predictive factors for HCV in the adult population in Karachi, Pakistan, which can later be validated for implementation. METHODOLOGY: A case-control study design was adopted and data was collected through an interview-based questionnaire from among 284 patients visiting the Family Medicine Department at The Indus Hospital, Karachi on whom the anti-HCV antibody test was conducted. Received data was then entered and analyzed using Statistical Package for the Social Sciences (SPSS) version 21.0.

resultAnalysis indicated that in the entire cohort, marital status, employment status, history of being operated on in the past, family history of HCV infection, and body piercing were the factors significantly associated with positive HCV antibody. Results thus achieved show that the anti-HCV-positive rate was higher in ever married, employed, having had surgery, and family history of HCV infection (aOR: 2.42, 3.5, 2.04 and 2.5,

conclusionsIt is concluded that future research may be conducted enrolling the heterogeneous population to further probe the HCV burden and incidence in our society to initiate educational purposes. This goal can be achieved through commercial advertisements and free public lectures for disease prevention and better health awareness among the masses and the curers.

Indexed as

Anti-HCVa risk factorHCV

Identifiers

PMID34017721
PMCPMC8132774

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.