Evidence map›Paper›PMID 42220878›Full record

ArticleIJID regions2026

Seroprevalence and risk factors of cytomegalovirus infection in pregnant women in Lebanon: A retrospective study conducted at Hôtel-Dieu de France.

Maria Catherine Rita Hachem, Hoda Zakaria, Diala Chebib, Elio Mekhael, Albert Riachy, Yara Kassis, Georges Abi Tayeh

Abstract read
In one paragraph

Article in IJID regions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Maria Catherine Rita HachemFaculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
Hoda ZakariaFaculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
Diala ChebibFaculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
Elio MekhaelFaculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
Albert RiachyFaculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
Yara KassisFaculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
Georges Abi TayehFaculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Cytomegalovirus (CMV) infection is a major global public health concern, particularly, during pregnancy, due to its high seroprevalence and the risk of vertical transmission, leading to congenital infection and serious fetal complications. In Lebanon, data on CMV seroprevalence among pregnant women remain limited. This study aims to determine the seroprevalence of CMV among pregnant women in Lebanon and to explore associations with factors such as age, region of residence, and obstetric history. Methods: This retrospective observational study was conducted at Hôtel-Dieu de France Hospital in Beirut, Lebanon, between 2022 and 2024. Among 2100 pregnant women followed up during this period, 448 who underwent targeted serological screening for CMV immunity were included. Serological testing (immunoglobulin [Ig] G and IgM) was performed at the hospital laboratory using an enzyme-linked immunosorbent assay technique. Demographic and obstetric data, including age, region of residence, and obstetric history, were analyzed in relation to their serological status. Statistical significance was set at Results: CMV IgG seroprevalence was 71.2%, indicating a high rate of previous CMV immunity, whereas IgM prevalence was low (0.9%). No significant associations were found between CMV seropositivity and age, region of residence, or obstetric characteristics ( Conclusion: This study, the first of its kind in Lebanon, reveals an intermediate-to-high CMV seroprevalence among pregnant women, consistent with other Mediterranean populations. The absence of significant association between seropositivity and certain demographic and obstetric variables may reflect socio-economic and geographic homogeneity within the studied cohort.

Indexed as

CMVCongenital CMV (cCMV)PregnancySeropositivitySeroprevalence

Identifiers

PMID42220878
PMCPMC13217587

What Socratic holds

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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 Socratic graph.