Evidence map›Paper›PMID 30522524›Full record

Trial reportInfectious diseases of poverty2018

Parasite reduction ratio one day after initiation of artemisinin-based combination therapies and its relationship with parasite clearance time in acutely malarious children.

Kazeem Akano, Godwin Ntadom, Chimere Agomo, Christian T Happi, Onikepe A Folarin, Grace O Gbotosho, Olugbenga Mokuolu, Finomo Finomo, Joy C Ebenebe, Nma Jiya and 10 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Infectious diseases of poverty, 2018. 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
0.7field-weighted citation impact, top 24% 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, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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

20 authors at 8 institutions in 2 countries.

Kazeem AkanoDepartment of Pharmacology and Therapeutics, University of Ibadan, Ibadan, Nigeria.
Godwin NtadomDepartment of Pharmacology and Therapeutics, University of Ibadan, Ibadan, Nigeria.
Chimere AgomoAntimalarial Therapeutic Efficacy Monitoring Group, National Malaria Elimination Programme, The Federal Ministry of Health, Abuja, Nigeria.
Christian T HappiAntimalarial Therapeutic Efficacy Monitoring Group, National Malaria Elimination Programme, The Federal Ministry of Health, Abuja, Nigeria.
Onikepe A FolarinDepartment of Biological Sciences and African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer University, Ede, Nigeria.
Grace O GbotoshoDepartment of Pharmacology and Therapeutics, University of Ibadan, Ibadan, Nigeria.
Olugbenga MokuoluAntimalarial Therapeutic Efficacy Monitoring Group, National Malaria Elimination Programme, The Federal Ministry of Health, Abuja, Nigeria.
Finomo FinomoAntimalarial Therapeutic Efficacy Monitoring Group, National Malaria Elimination Programme, The Federal Ministry of Health, Abuja, Nigeria.
Joy C EbenebeAntimalarial Therapeutic Efficacy Monitoring Group, National Malaria Elimination Programme, The Federal Ministry of Health, Abuja, Nigeria.
Nma JiyaAntimalarial Therapeutic Efficacy Monitoring Group, National Malaria Elimination Programme, The Federal Ministry of Health, Abuja, Nigeria.
Jose AmbeAntimalarial Therapeutic Efficacy Monitoring Group, National Malaria Elimination Programme, The Federal Ministry of Health, Abuja, Nigeria.
Robinson WammandaAntimalarial Therapeutic Efficacy Monitoring Group, National Malaria Elimination Programme, The Federal Ministry of Health, Abuja, Nigeria.
George EmechebeAntimalarial Therapeutic Efficacy Monitoring Group, National Malaria Elimination Programme, The Federal Ministry of Health, Abuja, Nigeria.
Oluwabunmi K BasorunDepartment of Pharmacology and Therapeutics, University of Ibadan, Ibadan, Nigeria.
Olubunmi A WeweDepartment of Pharmacology and Therapeutics, University of Ibadan, Ibadan, Nigeria.
Sikiru AmooDepartment of Pharmacology and Therapeutics, University of Ibadan, Ibadan, Nigeria.
Nnenna EzeigweAntimalarial Therapeutic Efficacy Monitoring Group, National Malaria Elimination Programme, The Federal Ministry of Health, Abuja, Nigeria.
Stephen OgucheAntimalarial Therapeutic Efficacy Monitoring Group, National Malaria Elimination Programme, The Federal Ministry of Health, Abuja, Nigeria.
Bayo FatunmbiAntimalarial Therapeutic Efficacy Monitoring Group, National Malaria Elimination Programme, The Federal Ministry of Health, Abuja, Nigeria.
Akintunde SowunmiDepartment of Pharmacology and Therapeutics, University of Ibadan, Ibadan, Nigeria. akinsowunmi@hotmail.com.
Federal Ministry of Health · NGUniversity of Ibadan · NGFederal Medical Centre · NGRedeemer's University · NGUniversity of Ilorin · NGUniversity of Jos · NGUniversity of Maiduguri · NGWorld Health Organization - Uganda · UG

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundIn acute falciparum malaria, asexual parasite reduction ratio two days post-treatment initiation (PRRD2) ≥ 10 000 per cycle has been used as a measure of the rapid clearance of parasitaemia and efficacy of artemisinin derivatives. However, there is little evaluation of alternative measures; for example, parasite reduction ratio one day after treatment initiation (PRRD1) and its relationship with parasite clearance time (PCT) or PRRD2. This study evaluated the use of PRRD1 as a measure of responsiveness to antimalarial drugs.

methodsIn acutely malarious children treated with artesunate-amodiaquine (AA), artemether-lumefantrine (AL) or dihydroartemisinin-piperaquine (DHP), the relationships between PRRD1 or PRRD2 and PCT, and between PRRD1 and PRRD2 were evaluated using linear regression. Agreement between estimates of PCT using PRRD1 and PRRD2 linear regression equations was evaluated using the Bland-Altman analysis. Predictors of PRRD1 > 5000 per half cycle and PRRD2 ≥ 10 000 per cycle were evaluated using stepwise multiple logistic regression models. Using the linear regression equation of the relationship between PRRD1 and PCT previously generated in half of the DHP-treated children during the early study phase, PCT estimates were compared in a prospective blinded manner with PCTs determined by microscopy during the later study phase in the remaining half.

resultsIn 919 malarious children, PRRD1 was significantly higher in DHP- and AA-treated compared with AL-treated children (P <  0.0001). PRRD1 or PRRD2 values correlated significantly negatively with PCT values (P <  0.0001 for each) and significantly positively with each other (P <  0.0001). PCT estimates from linear regression equations for PRRD1 and PRRD2 showed insignificant bias on the Bland-Altman plot (P = 0.7) indicating the estimates can be used interchangeably. At presentation, age > 15 months, parasitaemia > 10 000/μl and DHP treatment independently predicted PRRD1 > 5000 per half cycle, while age > 30 months, haematocrit ≥31%, body temperature > 37.4 °C, parasitaemia > 100 000/μl, PRRD1 value > 1000 and no gametocytaemia independently predicted PRRD2 ≥ 10 000 per cycle. Using the linear regression equation generated during the early phase in 166 DHP-treated children, PCT estimates and PCTs determined by microscopy in the 155 children in the later phase were similar in the same patients.

conclusionsPRRD1 and estimates of PCT using PRRD1 linear regression equation of PRRD1 and PCT can be used in therapeutic efficacy studies.

trial registrationPan African Clinical Trial Registration PACTR201709002064150, 1 March 2017, http://www.pactr.org.

Indexed as

Acute DiseaseAntimalarialsArtemisininsChild, PreschoolDrug CombinationsFemaleHumansInfantLinear ModelsMalaria, FalciparumMaleNigeriaParasitemiaAntimalarialsArtemisininsDrug CombinationsArtemisinin-based combination therapiesChildrenFalciparum malariaNigeriaParasite clearance

Identifiers

PMID30522524
PMCPMC6284283
OpenAlexW2902655022

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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.