Evidence map›Paper›PMID 27770770›Full record

ArticleBMC public health2016

Sociodemographic factors associated with IgG and IgM seroprevalence for human cytomegalovirus infection in adult populations of Pakistan: a seroprevalence survey.

Saira Ibrahim, Anwar A Siddiqui, Amna R Siddiqui, Waquaruddin Ahmed, Paul A H Moss, El-Nasir M A Lalani

Abstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
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  6. Article
  7. [Effect of breastfeeding on immune function in infants with human cytomegalovirus infection].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Article
  8. Human herpesvirus diversity is altered in HLA class I binding peptides.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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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

6 authors.

Saira IbrahimDepartment of Biological and Biomedical Sciences, Aga Khan University, PO Box 3500, Stadium Road, Karachi, 74800, Pakistan.
Anwar A SiddiquiDepartment of Biological and Biomedical Sciences, Aga Khan University, PO Box 3500, Stadium Road, Karachi, 74800, Pakistan.
Amna R SiddiquiDepartment of Community Health Sciences, Aga Khan University, PO Box 3500, Stadium Road, Karachi, 74800, Pakistan.
Waquaruddin AhmedPakistan Medical Research Council, Research Centre, Jinnah Postgraduate Medical Centre, Rafique Shaheed Road, Karachi, Pakistan.
Paul A H MossInstitute of Immunology and Immunotherapy, University of Birmingham, Vincent Drive, Edgbaston, Birmingham, B15 2TT, UK.
El-Nasir M A LalaniDepartment of Pathology and Laboratory Medicine, Aga Khan University, PO Box 3500, Stadium Road, Karachi, 74800, Pakistan. elnasir.lalani@aku.edu.

Funding

Medical Research Council G0901755
6 · The paper itself

Abstract

backgroundThe seroprevalence of human cytomegalovirus (HCMV) infection ranges from 30 to 90 % in developed countries. Reliable estimates of HCMV seroprevalence are not available for Pakistan. This study determined the seroprevalence and sociodemographic factors associated with HCMV infection in adult populations of Karachi, Pakistan.

methodsA seroprevalence survey was conducted on 1000 adults, including residents of two semi-urban communities, and visitors to a government and a private hospital. Questionnaire-based interviews were conducted. Sera were analysed for HCMV-specific IgG and IgM. Chi-square or Fisher's exact test was used for comparing sociodemographic variables against seropositivity of HCMV-IgG or IgM. Multiple logistic regression modeling was performed for IgG seroprevalence and adjusted odds ratios were computed.

resultsThe seroprevalence of HCMV-IgG and IgM was 93.2 and 4.3 % respectively. 95.3 % of individuals who were IgM seropositive were also seropositive for IgG. Around 6 % (15/250) of women of childbearing age remained uninfected and were therefore susceptible to primary infection. HCMV-IgG seroprevalence was associated with being female (p = 0.001), increasing age (p = 0.002) and crowding index (p = 0.003) and also with lower levels of both education (p < 0.001) and income (p = 0.008). Seroprevalence also differed significantly by marital status (p = 0.008) and sampling location (p < 0.001). A logistic regression model for HCMV-IgG seroprevalence showed associations with being female (OR = 1.89; 95 % CI: 1.10-3.25), increasing age (OR = 3.95; 95 % CI: 1.79-8.71) and decreasing income (OR = 0.72; 95 % CI: 0.54-0.96). A strong association was observed between increased seroprevalence of HCMV-IgM and decreasing household size (p = 0.008).

conclusionsSeroprevalence of HCMV is very high in Pakistan, although 6 % of women of childbearing age remain at risk of primary infection. The IgM seropositivity observed in some individuals living in small household size (1-3 individuals) with persistent HCMV infection could have resulted from a recurrent HCMV infection. Future longitudinal research in pregnant women and neonates is required to study the trends in HCMV seroprevalence over time in Pakistan for the development of a potential HCMV prevention and vaccination programme.

Indexed as

AdultAge FactorsAntibodies, ViralCytomegalovirusCytomegalovirus InfectionsEducational StatusFamily CharacteristicsFemaleHumansImmunoglobulin GImmunoglobulin MIncomeLogistic ModelsMaleMarital StatusMiddle AgedAntibodies, ViralImmunoglobulin GImmunoglobulin MHuman cytomegalovirusIgGIgMPakistanSeroprevalenceSociodemographic factors

Identifiers

PMID27770770
PMCPMC5075404

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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.