Jai K Das, Sohail Lakhani, Abdu R Rahman, Faareha Siddiqui, Zahra Ali Padhani, Zainab Rashid, Omar Mahmud, Syeda Kanza Naqvi, Hamna Amir Naseem, Hamzah Jehanzeb, Suresh Kumar, Mohammad Asim Beg
{"title":"妊娠期疟疾:妊娠期疟疾:发病率和相关并发症的 Meta 分析。","authors":"Jai K Das, Sohail Lakhani, Abdu R Rahman, Faareha Siddiqui, Zahra Ali Padhani, Zainab Rashid, Omar Mahmud, Syeda Kanza Naqvi, Hamna Amir Naseem, Hamzah Jehanzeb, Suresh Kumar, Mohammad Asim Beg","doi":"10.1017/S0950268824000177","DOIUrl":null,"url":null,"abstract":"<p><p>This review aims to assess the prevalence of malaria in pregnancy during antenatal visits and delivery, species-specific burden together with regional variation in the burden of disease. It also aims to estimate the proportions of adverse pregnancy outcomes in malaria-positive women. Based on the PRISMA guidelines, a thorough and systematic search was conducted in July 2023 across two electronic databases (including PubMed and CENTRAL). Forest plots were constructed for each outcome of interest highlighting the effect measure, confidence interval, sample size, and its associated weightage. All the statistical meta-analysis were conducted using R-Studio version 2022.07. Sensitivity analyses, publication bias assessment, and meta-regression analyses were also performed to ensure robustness of the review. According to the pooled estimates of 253 studies, the overall prevalence of malaria was 18.95% (95% CI: 16.95-21.11), during antenatal visits was 20.09% (95% CI: 17.43-23.06), and at delivery was 17.32% (95% CI: 14.47-20.61). The highest proportion of malarial infection was observed in Africa approximating 21.50% (95% CI: 18.52-24.81) during ANC and 20.41% (95% CI: 17.04-24.24) at the time of delivery. Our analysis also revealed that the odds of having anaemia were 2.40 times (95% CI: 1.87-3.06), having low birthweight were 1.99 times (95% CI: 1.60-2.48), having preterm birth were 1.65 times (95% CI: 1.29-2.10), and having stillbirths were 1.40 times (95% CI: 1.15-1.71) in pregnant women with malaria.</p>","PeriodicalId":11721,"journal":{"name":"Epidemiology and Infection","volume":" ","pages":"e39"},"PeriodicalIF":2.5000,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10945947/pdf/","citationCount":"0","resultStr":"{\"title\":\"Malaria in pregnancy: Meta-analyses of prevalence and associated complications.\",\"authors\":\"Jai K Das, Sohail Lakhani, Abdu R Rahman, Faareha Siddiqui, Zahra Ali Padhani, Zainab Rashid, Omar Mahmud, Syeda Kanza Naqvi, Hamna Amir Naseem, Hamzah Jehanzeb, Suresh Kumar, Mohammad Asim Beg\",\"doi\":\"10.1017/S0950268824000177\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This review aims to assess the prevalence of malaria in pregnancy during antenatal visits and delivery, species-specific burden together with regional variation in the burden of disease. It also aims to estimate the proportions of adverse pregnancy outcomes in malaria-positive women. Based on the PRISMA guidelines, a thorough and systematic search was conducted in July 2023 across two electronic databases (including PubMed and CENTRAL). Forest plots were constructed for each outcome of interest highlighting the effect measure, confidence interval, sample size, and its associated weightage. All the statistical meta-analysis were conducted using R-Studio version 2022.07. Sensitivity analyses, publication bias assessment, and meta-regression analyses were also performed to ensure robustness of the review. According to the pooled estimates of 253 studies, the overall prevalence of malaria was 18.95% (95% CI: 16.95-21.11), during antenatal visits was 20.09% (95% CI: 17.43-23.06), and at delivery was 17.32% (95% CI: 14.47-20.61). 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Malaria in pregnancy: Meta-analyses of prevalence and associated complications.
This review aims to assess the prevalence of malaria in pregnancy during antenatal visits and delivery, species-specific burden together with regional variation in the burden of disease. It also aims to estimate the proportions of adverse pregnancy outcomes in malaria-positive women. Based on the PRISMA guidelines, a thorough and systematic search was conducted in July 2023 across two electronic databases (including PubMed and CENTRAL). Forest plots were constructed for each outcome of interest highlighting the effect measure, confidence interval, sample size, and its associated weightage. All the statistical meta-analysis were conducted using R-Studio version 2022.07. Sensitivity analyses, publication bias assessment, and meta-regression analyses were also performed to ensure robustness of the review. According to the pooled estimates of 253 studies, the overall prevalence of malaria was 18.95% (95% CI: 16.95-21.11), during antenatal visits was 20.09% (95% CI: 17.43-23.06), and at delivery was 17.32% (95% CI: 14.47-20.61). The highest proportion of malarial infection was observed in Africa approximating 21.50% (95% CI: 18.52-24.81) during ANC and 20.41% (95% CI: 17.04-24.24) at the time of delivery. Our analysis also revealed that the odds of having anaemia were 2.40 times (95% CI: 1.87-3.06), having low birthweight were 1.99 times (95% CI: 1.60-2.48), having preterm birth were 1.65 times (95% CI: 1.29-2.10), and having stillbirths were 1.40 times (95% CI: 1.15-1.71) in pregnant women with malaria.
期刊介绍:
Epidemiology & Infection publishes original reports and reviews on all aspects of infection in humans and animals. Particular emphasis is given to the epidemiology, prevention and control of infectious diseases. The scope covers the zoonoses, outbreaks, food hygiene, vaccine studies, statistics and the clinical, social and public-health aspects of infectious disease, as well as some tropical infections. It has become the key international periodical in which to find the latest reports on recently discovered infections and new technology. For those concerned with policy and planning for the control of infections, the papers on mathematical modelling of epidemics caused by historical, current and emergent infections are of particular value.