Evidence map›Paper›PMID 26537125›Full record

ArticleMalaria journal2015

Multiple comparisons analysis of serological data from an area of low Plasmodium falciparum transmission.

Eric Rogier, Ryan Wiegand, Delynn Moss, Jeff Priest, Evelina Angov, Sheetij Dutta, Ito Journel, Samuel E Jean, Kimberly Mace, Michelle Chang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 7% of its field
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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  5. Integrated serosurveillance of multiple communicable diseases in the hinterland of Guyana.Revista panamericana de salud publica = Pan American journal of public health · 2026
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  14. Dynamics of IgG antibody response againstFrontiers in immunology · 2023
    Article
  15. Lessons learned from the implementation of integrated serosurveillance of communicable diseases in the Americas.Revista panamericana de salud publica = Pan American journal of public health · 2023
    Article
  16. Article
  17. Sensitivity and specificity for malaria classification of febrile persons by rapid diagnostic test, microscopy, parasite DNA, histidine-rich protein 2, and IgG: Dakar, Senegal 2015.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  18. Article
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  20. Spatial, environmental, and individual associations withFrontiers in cellular and infection microbiology · 2022
    Article
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

13 authors at 4 institutions in 2 countries.

Eric RogierMalaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Center for Global Health, Atlanta, GA, USA. erogier@cdc.gov.
Ryan WiegandMalaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Center for Global Health, Atlanta, GA, USA. fwk2@cdc.gov.
Delynn MossMalaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Center for Global Health, Atlanta, GA, USA. dmm3@cdc.gov.
Jeff PriestMalaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Center for Global Health, Atlanta, GA, USA. jip8@cdc.gov.
Evelina AngovMalaria Vaccine Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA. angov@us.army.mil.
Sheetij DuttaMalaria Vaccine Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA. sheetij.dutta@na.amedd.army.mil.
Ito JournelLaboratoire National de Santé Publique (LNSP)/Ministère de la Santé Publique et de la Population (MSPP), Port-au-Prince, Haiti. journeltechn@gmail.com.
Samuel E JeanPopulation Services International/Organisation Haïtienne de Marketing Social pour la Santé, Port-au-Prince, Haiti. sejean@ohmasshaiti.org.
Kimberly MaceMalaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Center for Global Health, Atlanta, GA, USA. igd3@cdc.gov.
Michelle ChangMalaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Center for Global Health, Atlanta, GA, USA. aup6@cdc.gov.
Jean Frantz LemoineProgramme National de Contrôle de la Malaria/MSPP, Port-au-Prince, Haiti. tileum@hotmail.com.
Venkatachalam UdhayakumarMalaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Center for Global Health, Atlanta, GA, USA. vxu0@cdc.gov.
John W BarnwellMalaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Center for Global Health, Atlanta, GA, USA. wzb3@cdc.gov.
Center for Global Health · USDivision of Parasitic Diseases and Malaria · USWalter Reed Army Institute of Research · USUniversité Notre Dame d'Haïti · HT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs a nation reduces the burden of falciparum malaria, identifying areas of transmission becomes increasingly difficult. Over the past decade, the field of utilizing malaria serological assays to measure exposure has grown rapidly, and a variety of serological methods for data acquisition and analysis of human IgG against falciparum antigens are available. Here, different immunoassays and statistical methods are utilized to analyse samples from a low transmission setting and directly compare the estimates generated.

methodsA subset of samples (n = 580) from a 2012 Haitian nationwide malaria survey was employed as sample population of low falciparum endemicity. In addition to the Haitian samples, samples from 247 US residents were used as a reference population of 'true seronegatives'. Data acquisition was performed through standard ELISA and bead-based multiplex assays assaying for IgG antibodies to the Plasmodium falciparum antigens MSP-1p19, MSP-1p42(D), MSP-1p42(F), and AMA-1. Appropriate parametric distributions and seropositivity cutoff values were determined by statistical measures.

resultsData from both assays showed a strong positive skew, and the lognormal distribution was found to be an appropriate statistical fit to the Haitian and American populations. The American samples served as a good serological true negative population for the multiplex assay, but not for ELISA-based data. Mixture model approaches to determine seronegative and seropositive populations from the Haitian data showed a high degree of distribution overlap-likely due to the historical low falciparum transmission in this nation. Different fittings to the reversible catalytic model resulted depending upon the immunoassay utilized and seropositivity cutoff method employed. Data were also analysed through fitting to penalized B-splines, presenting another possible analytical tool for the analysis of malaria serological data.

conclusionsStandardization of serological techniques and analyses may prove difficult as some tools can prove to be more useful depending on the area and parasite in question, making clear interpretation a vital pursuit. The presented analysis in the low-endemic nation of Haiti found malaria-naive US residents to be an appropriate seronegative reference population for the multiplex assay, and this assay providing consistent estimates between MSP-1 and AMA-1 antigens of percent seropositives for this low-endemic population.

Indexed as

Antibodies, ProtozoanAntigens, ProtozoanCross-Sectional StudiesHaitiHumansImmunoassayImmunoglobulin GMalaria, FalciparumPlasmodium falciparumAntibodies, ProtozoanAntigens, ProtozoanImmunoglobulin G

Identifiers

PMID26537125
PMCPMC4634594
OpenAlexW2106049604

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.