Evidence map›Paper›PMID 29141707›Full record

ArticleThe American journal of tropical medicine and hygiene2017

Importance and Contribution of Community, Social, and Healthcare Risk Factors for Hepatitis C Infection in Pakistan.

Adam Trickey, Margaret T May, Charlotte Davies, Huma Qureshi, Saeed Hamid, Hassan Mahmood, Quaid Saeed, Matthew Hickman, Nancy Glass, Francisco Averhoff and 1 more

Open access · greenAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Screening Strategies for Hepatitis C Virus.Hepatology communications · 2019
    Article
  15. Review
  16. How far are we from viral hepatitis elimination service coverage targets?Journal of the International AIDS Society · 2018
    Review
  17. Article
  18. Article
  19. 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

11 authors at 6 institutions in 3 countries.

Adam TrickeyBristol Medical School, University of Bristol, Bristol, United Kingdom.
Margaret T MayNational Institute of Health Research (NIHR) Health Protection Research Unit (HPRU) in Evaluation of Interventions, Bristol, United Kingdom.
Charlotte DaviesBristol Medical School, University of Bristol, Bristol, United Kingdom.
Huma QureshiPakistan Medical Research Council (PMRC), Islamabad, Pakistan.
Saeed HamidDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Hassan MahmoodPakistan Medical Research Council (PMRC), Islamabad, Pakistan.
Quaid SaeedNational AIDS Control Programme, Islamabad, Pakistan.
Matthew HickmanNational Institute of Health Research (NIHR) Health Protection Research Unit (HPRU) in Evaluation of Interventions, Bristol, United Kingdom.
Nancy GlassCenters for Disease Control and Prevention, Atlanta, Georgia.
Francisco AverhoffCenters for Disease Control and Prevention, Atlanta, Georgia.
Peter VickermanNational Institute of Health Research (NIHR) Health Protection Research Unit (HPRU) in Evaluation of Interventions, Bristol, United Kingdom.
University of Bristol · GBCenters for Disease Control and Prevention · USPakistan Health Research Council · PKAbdus Salam Centre for Physics · PKAga Khan University · PKNational Institute for Health Research · GB

Funding

Department of Health RP-DG-0610-10055
6 · The paper itself

Abstract

Pakistan has a high prevalence of hepatitis C virus (HCV) infection, estimated at 4.9% (2,290/46,843) in the 2007 national HCV seroprevalence survey. We used data from this survey to assess the importance of risk factor associations with HCV prevalence in Pakistan. Exposures were grouped as community (going to the barbers, sharing smoking equipment, having an ear/nose piercing, tattoo, or acupuncture), healthcare (ever having hemodialysis, blood transfusion, or ≥ 5 injections in the last year), demographic (marital status and age), and socio-economic (illiterate or laborer). We used mutually adjusted multivariable regression analysis, stratified by sex, to determine associations with HCV infection, their population attributable fraction, and how risk of infection accumulates with multiple exposures. Strength of associations was assessed using adjusted odds ratios (aOR). Community [aOR females 1.5 (95% confidence interval [CI]: 1.2, 1.8); males 1.2 (1.1, 1.4)] and healthcare [females 1.4 (1.2, 1.6); males 1.2 (1.1, 1.4)] exposures, low socio-economic status [females 1.6 (1.3, 1.80); males 1.3 (1.2, 1.5)], and marriage [females 1.5 (1.2, 1.9); males 1.4 (1.1, 1.8)] were associated with increased HCV infection. Among married women, the number of children was associated with an increase in HCV infection; linear trend aOR per child 1.06 (1.01, 1.11). Fewer infections could be attributed to healthcare exposures (females 13%; males 6%) than to community exposures (females 25%; males 9%). Prevalence increased from 3% to 10% when cumulative exposures increased from 1 to ≥ 4 [aOR per additional exposure for females 1.5 (1.4, 1.6); males 1.2 (1.2, 1.3)]. A combination of community, healthcare, and other factors appear to drive the Pakistan HCV epidemic, highlighting the need for a comprehensive array of prevention strategies.

Indexed as

Health BehaviorSocioeconomic FactorsAdolescentAdultBlood TransfusionChildChild, PreschoolFemaleHepacivirusHepatitis CHumansInfantLogistic ModelsMaleMiddle AgedPakistan

Identifiers

PMID29141707
PMCPMC5805029
OpenAlexW2756978850

What OpenQuestion holds

Textmetadata
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.