Evidence map›Paper›PMID 38538037›Full record

ArticleBMJ open2024

Child Health and Infection with Low Density (CHILD) malaria: a protocol for a randomised controlled trial to assess the long-term health and socioeconomic impacts of testing and treating low-density malaria infection among children in Tanzania.

Sylvia Jebiwott, Nicolaus Gutapaka, Deborah Sumari, Georg Loss, Thabit Athuman, Jane Paula Nyandele, Hannah Cummins, Mwajuma Chemba, Jade Benjamin-Chung, Pamela Gangar and 7 more

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05567016 (Child Health and Infection With Low Density), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% 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.

NCT05567016 nacompletednot on this map

Child Health and Infection With Low Density (CHILD) Malaria, a Randomized Controlled Trial to Assess the Long-term Health and Socioeconomic Impact of Interventions Targeting Low-density Malaria Infection (LMI) Among Children in Tanzania

TypeinterventionalSponsorUniversity of California, San FranciscoRan2023 to 2025Enrolled600ConditionsMalaria,Falciparum, MalariaArmsActive case detection using molecular testing (ACDm), Passive case detection using molecular testing (PCDm), Control (standard of care)
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

17 authors at 4 institutions in 4 countries.

Sylvia JebiwottMalaria Elimination Initiative, Institute of Global Health Sciences, University of California, San Francisco, San Francisco, California, USA sylvia.jebiwott@ucsf.edu.ORCID 0009-0001-0079-5208
Nicolaus GutapakaIfakara Health Institute, Bagamoyo, Tanzania, United Republic of.
Deborah SumariIfakara Health Institute, Bagamoyo, Tanzania, United Republic of.
Georg LossSwiss Tropical and Public Health Institute, Basel, Switzerland.
Thabit AthumanIfakara Health Institute, Bagamoyo, Tanzania, United Republic of.
Jane Paula NyandeleIfakara Health Institute, Bagamoyo, Tanzania, United Republic of.
Hannah CumminsMalaria Elimination Initiative, Institute of Global Health Sciences, University of California, San Francisco, San Francisco, California, USA.
Mwajuma ChembaIfakara Health Institute, Bagamoyo, Tanzania, United Republic of.
Jade Benjamin-ChungEpidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0003-3631-3132
Pamela GangarMalaria Elimination Initiative, Institute of Global Health Sciences, University of California, San Francisco, San Francisco, California, USA.
Xue WuMalaria Elimination Initiative, Institute of Global Health Sciences, University of California, San Francisco, San Francisco, California, USA.
Jennifer SmithMalaria Elimination Initiative, Institute of Global Health Sciences, University of California, San Francisco, San Francisco, California, USA.
Ingrid ChenMalaria Elimination Initiative, Institute of Global Health Sciences, University of California, San Francisco, San Francisco, California, USA.
Grant DorseyDepartment of Medicine, University of California, San Francisco, San Francisco, California, USA.
Günther FinkSwiss Tropical and Public Health Institute, Basel, Switzerland.
Ally OlotuIfakara Health Institute, Bagamoyo, Tanzania, United Republic of.
Michelle HsiangMalaria Elimination Initiative, Institute of Global Health Sciences, University of California, San Francisco, San Francisco, California, USA.
University of California, San Francisco · USIfakara Health Institute · TZSwiss Tropical and Public Health Institute · CHCentre de recherche en Epidémiologie et Santé des Populations · FR

Funding

Long-term health and socioeconomic impact of interventions targeting low-density malaria infection (LMI) among children in TanzaniavU01AI155315 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Michelle Sang Hsiang · 2022 to 2026
$5.4M
Genetic and social network analysis to target interventions for malaria eliminationK01AI153555 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SMITH, JENNIFER LINNEA · 2020 to 2024
$725k
NIAID NIH HHS K01 AI153555NIAID NIH HHS U01 AI155315
6 · The paper itself

Abstract

introductionAs malaria declines, low-density malaria infections (LMIs) represent an increasing proportion of infections and may have negative impacts on child health and cognition, necessitating development of targeted and effective solutions. This trial assesses the health, cognitive and socioeconomic impact of two strategies for detecting and treating LMI in a low transmission setting. METHODS AND ANALYSIS: The study is a 3-arm open-label individually randomised controlled trial enrolling 600 children aged 6 months to 10 years in Bagamoyo district, Tanzania. Children are randomised to one of three arms: active case detection with molecular (ACDm) testing by high volume quantitative PCR (qPCR), passive case detection also with molecular testing (PCDm) and a control of standard PCD using rapid diagnostics tests (RDTs). Over the 2-year trial, ACDm participants receive malaria testing using RDT and qPCR three times annually, and malaria testing by RDT only when presenting with fever. PCDm and PCD participants receive malaria testing by RDT and qPCR or RDT only, respectively, when presenting with fever. RDT or qPCR positive participants with uncomplicated malaria are treated with artemether lumefantrine. The primary outcome is cumulative incidence of all-cause sick visits. Secondary outcomes include fever episodes, clinical failure after fever episodes, adverse events, malaria, non-malarial infection, antibiotic use, anaemia, growth faltering, cognition and attention, school outcomes, immune responses, and socioeconomic effects. Outcomes are assessed through monthly clinical assessments and testing, and baseline and endline neurodevelopmental testing. The trial is expected to provide key evidence and inform policy on health, cognitive and socioeconomic impact of interventions targeting LMI in children. ETHICS AND DISSEMINATION: Study is approved by Tanzania NatHREC and institutional review boards at University of California San Francisco and Ifakara Health Institute. Findings will be reported on ClinicalTrials.gov, in peer-reviewed journals and through stakeholder meetings. TRIAL REGISTRATION NUMBER: NCT05567016.

Indexed as

AntimalarialsMalariaArtemetherArtemether, Lumefantrine Drug CombinationChildChild HealthChild, PreschoolHumansInfantRandomized Controlled Trials as TopicSocioeconomic FactorsTanzaniaAntimalarialsArtemetherArtemether, Lumefantrine Drug CombinationClinical TrialEpidemiologyIMMUNOLOGYMalariaMolecular diagnosticsRandomized Controlled Trial

Identifiers

PMID38538037
PMCPMC10982758
OpenAlexW4393237674

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.