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Peer reviewedOpen accessRubellaToxoplasmosisSyphilis

Seroprevalence of toxoplasmosis, rubella, cytomegalovirus, herpes simplex, and syphilis infections among pregnant women and infants in Malaysia: a systematic review and meta-analysis

PeerJ·

Abdirahman Hussein Elmi, Ahmad Adebayo Irekeola, Hafeez Abiola Afolabi, Khalid Hajissa, Yusuf Wada, Chan Yean Yean, Zeehaida Mohamed

DOI
10.7717/peerj.21632
PMID
PMCID
OpenAlex
W7203660052
Study type
Systematic review
Publisher
PeerJ
Article type
journal-article
Integrity
current

Why this research matters now

The elevated detection rates indicate that routine maternal testing may help identify vulnerable pregnancies and potentially reduce pathogen transfer to offspring.

01

Structured evidence summary

Research question

The investigation sought to quantify pooled antibody detection rates for five specific maternal and neonatal pathogens across Malaysia.

Study design

Researchers conducted a systematic review and meta-analysis synthesizing data from nineteen previously published reports.

Population and setting

The analysis focused exclusively on expectant mothers and newborns documented in Malaysian literature.

Main findings

Aggregated data revealed a combined positivity rate of 32.5 percent, with infants exhibiting slightly higher markers than mothers. Cytomegalovirus showed the strongest antibody presence, while syphilis markers were the least common.

Public-health relevance

The elevated detection rates indicate that routine maternal testing may help identify vulnerable pregnancies and potentially reduce pathogen transfer to offspring.

Important limitations

The synthesis encountered substantial statistical heterogeneity across the included datasets, and the analysis relied solely on a limited collection of published summaries rather than primary clinical records.

GIDS interpretation

This work offers a consolidated epidemiological snapshot of specific congenital infection markers within a defined regional context, applying standard meta-analytic methods to aggregate historical literature.

02

Related GIDS surveillance

Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.

03

Evidence relationships

This article has 9 auditable classifier relationships to diseases, places, topics, and study design.

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