| Literature DB >> 28270152 |
Pedro M Folegatti1, André M Siqueira2, Wuelton M Monteiro3,4, Marcus Vinícius G Lacerda3,5, Chris J Drakeley6, Érika M Braga7,8.
Abstract
BACKGROUND: Considerable success in reducing malaria incidence and mortality has been achieved in Brazil, leading to discussions over the possibility of moving towards elimination. However, more than reporting and counting clinical cases, elimination will require the use of efficient tools and strategies for measuring transmission dynamics and detecting the infectious reservoir as the primary indicators of interest for surveillance and evaluation. Because acquisition and maintenance of anti-malarial antibodies depend on parasite exposure, seroprevalence rates could be used as a reliable tool for assessing malaria endemicity and an adjunct measure for monitoring transmission in a rapid and cost-effective manner.Entities:
Keywords: Antibodies; Brazil; Plasmodium falciparum; Plasmodium vivax; Sero-epidemiology; Systematic review
Mesh:
Substances:
Year: 2017 PMID: 28270152 PMCID: PMC5341168 DOI: 10.1186/s12936-017-1762-7
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Critical appraisal tool used at this review
| Critical appraisal tool |
|---|
| 1. Was the research question or objective in this paper clearly stated? (1 point) |
| 2. The study clearly describes exposures and outcomes (1 point) |
| 3. The study clearly describes basic characteristics of participants (1 point) |
| 4. The results were adjusted for possible confounding variables through stratification or multivariate analysis (1 point) |
| 5. Statistical test |
| 6. The study informs the loss to follow-up characteristics: numbers and reasons (1 point—cohort studies only) |
| 7. Participants were followed for the same time or the study was adjusted for different follow-up times (1 point—cohort studies only) |
| 8. The measures used for the main outcomes were accurate: description of the technique for the diagnosis of malaria and antibody measurement (1 point) |
| 9. The demographic characteristics were comparable or adjusted: age and geographic area (1 point) |
| 10. The participants of different groups were recruited in the same period of time (1 point) |
| 11. Representativeness of the sample: |
| 12. Sample size: |
| 13. Ascertainment of the exposure (risk factor) |
Cross-sectional studies score a maximum of 12 points. Cohort studies score a maximum of 14 points
Fig. 1Flow chart with a summary of the articles included in this systematic review. Titles and abstracts were screened from 220 papers. Of these, 171 non-relevant articles were excluded because reported data on imported cases in non-endemic areas included febrile patients attending healthcare facilities, serologically tested convalescent individuals, reported non-human experimental data, were case-reports or presented any other exclusion criteria identifiable in their abstracts. A further six papers were found to be ineligible after reading the 49 full-text articles assessed for eligibility criteria (lacked relevant information on the variables of interest: ascertainment of malaria diagnosis, description of the serological method used, target population and representativeness of general population). Of the 49 potentially eligible papers, 20 were considered to be of poor quality (scored <70% when the critical appraisal tool was applied) and were therefore excluded
Summary of seroprevalence studies included in the systematic review by year of publication
| Identification (references) | Year of publication | State | Study design | Sample sizea | Target antigenbc | Overall seroprevalence (%) | 95% CI |
|---|---|---|---|---|---|---|---|
| Rodrigues da Silva et al. [ | 2016 | Rondônia | Cross-sectional | 545 | PvMSP9-RIRII | 58 | 53.86–62.14 |
| PvMSP9-E795/A808 | 32.5 | 28.57–36.43 | |||||
| Sanchez-Arcila et al. [ | 2015 | Rondônia | Cross-sectional | 279 | PvMSP119 | 66 | 60.44–71.56 |
| PvAMA-1( | 63 | 57.33–68.67 | |||||
| Cunha et al. [ | 2014 | Pará | Cross-sectional | 1330 | PfMSP119 | 25.6 | 23.25–27.95 |
| PfAMA-1 | 12.7 | 10.91–14.49 | |||||
| PvMSP119 | 36.3 | 33.72–38.88 | |||||
| PvAMA-1 | 32.5 | 29.98–35.02 | |||||
| Ferreira et al. [ | 2014 | Rondônia | Cross-sectional | 253 | PvRMC-RBP1 | 47.1 | 40.95–53.25 |
| PvRBP1-23-751 | 60 | 53.96–66.04 | |||||
| Versiani et al. [ | 2013 | Amazonas | Cohort | 308 | PvMSP1 (N-terminus) | 35.4 | 30.06–40.74 |
| Lima Junior et al. [ | 2012 | Rondônia | Cross-sectional | 276 | PvMSP119 | 86.7 | 82.69–90.71 |
| PvMSP3-alpha | 77 | 72.04–81.96 | |||||
| PvMSP9 | 76 | 70.96–81.04 | |||||
| Kano et al. [ | 2012 | Amazonas | Cross-sectional | 432 | PvDBP | 49.5 | 44.79–54.21 |
| PvMSP119 | 86.7 | 83.5–89.9 | |||||
| Lima Junior et al. [ | 2011 | Rondônia | Cross-sectional | 282 | PvMSP3-alpha | 78 | 73.17–82.83 |
| Souza-Silva et al. [ | 2010 | Acre | Cohort | 366 | PvDBP | 18.6 | 14.61–22.59 |
| Lima Junior et al. [ | 2008 | Rondônia | Cross-sectional | 306 | PvMSP9 | 74 | 69.1–78.91 |
| Ladeia-Andrade et al. [ | 2007 | Amazonas | Cross-sectional | 812 | PvMSP119 | 66.3d | 62.93–69.43 |
| PfMSP119 ( | 53.5d | 49.96–56.95 | |||||
| Bastos et al. [ | 2007 | Acre | Cohort | 376 | PvMSP119 | 54.3 | 46.29–59.34 |
| Suarez-Mutis et al. [ | 2007 | Amazonas | Cross-sectional | 98 | PvMSP119 | 46.9 | 37.02–56.78 |
| Scopel et al. [ | 2007 | Acre | Cohort | 356 | PfMSP-2 S20 | 28.1 | 23.43–32.77 |
| PfMSP-2 FC27 | 22.2 | 17.88–26.52 | |||||
| PfMSP-2 AM89 | 7.3 | 4.6–10 | |||||
| PfMSP-2 3D7 | 6.2 | 3.69–8.71 | |||||
| PfMSP-2 FUP/CP | 6.2 | 3.69–8.71 | |||||
| Nogueira et al. [ | 2006 | Rondônia | Cohort | 429 | N-terminus–PvMSP1 | 35d | 30.6–39.59 |
| PvMSP119 | 41.5d | 36.93–46.21 | |||||
| Tran et al. [ | 2005 | Rondônia | Cross-sectional | 294 | PvDBP | 67 | 61.63–72,37 |
| PvRBP-1 | 66 | 60.59–71.47 | |||||
| Marcano et al. [ | 2004 | Roraima | Cross-sectional | 101 | Pf blood stages (IFAT) | 72.1 | 63.35–80.85 |
| Alexandre et al. [ | 1997 | Amazonas | Cross-sectional | 241 | PfR44 | 26.5e | 20.93–32.07 |
| PfAg-T | 57.7e | 51.43–63.91 | |||||
| Arruda et al. [ | 1996 | Pará | Cross-sectional | 430 | PfCS | 44f | 39.33–48.71 |
| Pf blood stage (IFAT) | 68f | 63.54–72.36 | |||||
| PvCS | 60.1e | 55.42–64.68 | |||||
| Pv blood stage (IFAT) | 73.2e | 68.98–77.36 | |||||
| Ferreira et al. [ | 1994 | Rondônia | Cohort | 50 | Pf Exoantigens | 30g | 17.3–42.7 |
| Pf Somatic Antigens | 40g | 26.42–53.58 | |||||
| Oliveira-Ferreira et al. [ | 1992 | Rondônia | Cross-sectional | 1617 | PfCS (Immunoradiometric) | 5.9 | 4.75–7.05 |
| Pf Blood stage (IFAT) | 49.2 | 46.76–51.64 | |||||
| Kremsner et al. [ | 1992 | Acre | Cross-sectional | 645 | PvCS | 17.3f | 14.33–20.17 |
| PvCS (VK247) | 4.8f | 3.11–6.39 | |||||
| Jeffery et al. [ | 1975 | Mato Grosso | Cross-sectional | 4270 | Pf and Pv blood stage (IFAT) | 10.5h | 9.58–11.42 |
aSample size refers to number of participants for whom serology was determined
bIf other serological methods were used instead ELISA, it is shown in parenthesis
cIf other expression systems were used to produce recombinant antigens instead E.coli in fusion with histydine tag (His6) or Glutationa S-transferase (GST), it is shown in parenthesis
dCombined cross-sectional surveys
eAverage seroprevalence in all age groups
fAverage seroprevalence for all cross-sectional surveys
gResults shown for the last survey conducted
hAverage prevalence for both antigens (P. falciparum and P. vivax blood stages) across four surveys