Evidence map›Paper›PMID 38146546›Full record

ArticlePragmatic and observational research2023

Prediction Model with Validation for Polioseronegativity in Malnourished Children from Poliomyelitis Transmission High-Risk Area of the Democratic Republic of the Congo (DRC).

Guillaume Ngoie Mwamba, Michel Kabamba, Nicole A Hoff, Patrick K Mukadi, Kamy Kaminye Musene, Sue K Gerber, Megan Halbrook, Cyrus Sinai, Trevon Fuller, Arie Voorman and 8 more

Open access · diamondAbstract read
In one paragraph

Article in Pragmatic and observational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

18 authors at 8 institutions in 2 countries.

Guillaume Ngoie MwambaDepartment of Public Health, University of Kamina, Kamina, Haut-Lomami, Democratic Republic of the Congo.
Michel KabambaDepartment of Public Health, University of Kamina, Kamina, Haut-Lomami, Democratic Republic of the Congo.ORCID 0000-0003-3843-654X
Nicole A HoffDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Patrick K MukadiNational Institute of Biomedical Research (INRB), Ministry of Health, Kinshasa, Democratic Republic of the Congo.
Kamy Kaminye MuseneHealth Research and Training Program, UCLA-DRC, Kinshasa, Democratic Republic of the Congo.
Sue K GerberPolio eradication program, The Bill and Melinda Gates Foundation, Seattle, WA, 98109, USA.
Megan HalbrookDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Cyrus SinaiDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Trevon FullerDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Arie VoormanPolio eradication program, The Bill and Melinda Gates Foundation, Seattle, WA, 98109, USA.
Paul Makan MawawFaculty of Medicine, University of Lubumbashi, Lubumbashi, Haut-Katanga, 1825, Democratic Republic of the Congo.
Oscar Luboya NumbiFaculty of Medicine, University of Lubumbashi, Lubumbashi, Haut-Katanga, 1825, Democratic Republic of the Congo.
Emile Okitolonda WemakoyDepartment of Epidemiology and Biostatistics, School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Patricia N MechaelDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Jean Jacques Muyembe TamfumNational Institute of Biomedical Research (INRB), Ministry of Health, Kinshasa, Democratic Republic of the Congo.
Mala Ali Mapatano *Department of Nutrition, School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Anne W Rimoin *Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Paul-Samson Lusamba Dikassa *Department of Epidemiology and Biostatistics, School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
UCLA Health · USUniversity of Kinshasa · CDGates Foundation · USMinistry of Public Health · CDNational Institute of Biomedical Research · CDUniversity of Lubumbashi · CDJohns Hopkins University · USUniversité Catholique du Congo · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Malnutrition is identified as a risk factor for insufficient polio seroconversion in the context of a vaccine-derived poliovirus (VDPV) outbreak-prone region. In the Democratic Republic of Congo (DRC), underweight decreased from 31% (in 2001) to 26% (in 2018). Since 2004, VDPV serotype 2 outbreaks (cVDPV2) have been documented and were geographically limited around the Haut-Lomami and Tanganyika Provinces. Methods: To develop and validate a predictive model for poliomyelitis vaccine response in malnourished infants, a cross-sectional household study was carried out in the Haut-Lomami and Tanganyika provinces. Healthy children aged 6 to 59 months (n=968) were enrolled from eight health zones (HZ) out of 27, in March 2018. We performed a bivariate and multivariate logistics analysis. Final models were selected using a stepwise Wald method, and variables were selected based on the criterion p < 0.05. The association between nutritional variables, explaining polio seronegativity for the three serotypes, was assessed using the receiver operating characteristic curve (ROC curve). Results: Factors significantly associated with seronegativity to the three polio serotypes were underweight, non-administration of vitamin A, and the age group of 12 to 59 months. The sensitivity was 10.5%, and its specificity was 96.4% while the positive predictive values (PPV) and negative (PNV) were 62.7% and 65.3%, respectively. We found a convergence of the curves of the initial sample and two split samples. Based on the comparison of the overlapping confidence intervals of the ROC curve, we concluded that our prediction model is valid. Conclusion: This study proposed the first tool which variables are easy to collect by any health worker in charge of vaccination or in charge of nutrition. It will bring on top, the collaboration between the Immunization and the Nutritional programs in DRC integration policy, and its replicability in other low- and middle-income countries with endemic poliovirus.

Indexed as

child healthchild nutritionDRCmalnutritionpoliomyelitis-neutralizing antibodiespolio serotypeprediction modelseronegativityserotypesunderweightvalidation

Identifiers

PMID38146546
PMCPMC10749540
OpenAlexW4390031639

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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.