Evidence map›Paper›PMID 31908862›Full record

ArticleBMJ global health2019

How delayed and non-adherent treatment contribute to onward transmission of malaria: a modelling study.

Joseph D Challenger, Bronner P Gonçalves, John Bradley, Katia Bruxvoort, Alfred B Tiono, Chris Drakeley, Teun Bousema, Azra C Ghani, Lucy C Okell

Abstract read
In one paragraph

Article in BMJ global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Observational
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  17. Article
  18. Financing malaria.PLOS global public health · 2022
    Review
  19. Article
  20. COVID-19 and malaria: A symptom screening challenge for malaria endemic countries.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
    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

9 authors.

Joseph D ChallengerMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.ORCID 0000-0001-6029-1733
Bronner P GonçalvesDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-3329-6050
John BradleyMRC Tropical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-9449-4608
Katia BruxvoortDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA.ORCID https://orcid.org/0000-0001-8277-2431
Alfred B TionoPublic Health Department, Centre National de Recherche et de Formation sur le Paludisme (CNRFP), Ouagadougou, Burkina Faso.ORCID https://orcid.org/0000-0002-5104-3946
Chris DrakeleyDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0003-4863-075X
Teun BousemaDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0003-2666-094X
Azra C GhaniMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-0007-4910
Lucy C OkellMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.ORCID 0000-0001-7202-6873

Funding

Medical Research Council MR/R010161/1Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

introductionArtemether-lumefantrine (AL) is the most widely-recommended treatment for uncomplicated

methodsWe extend a within-host model of

resultsUsing survey data from seven African countries to determine the time taken to acquire antimalarials following fever increased our estimates of mean total infectivity of a malaria episode by up to 1.5-fold, compared with patients treated after 24 hours. Realistic adherence behaviour, based on data from a monitored cohort in Tanzania, increased the contribution to transmission by 2.2 to 2.4-fold, compared with a perfectly-adherent cohort. This was driven largely by increased rates of treatment failure leading to chronic infection, rather than prolonged gametocytaemia in patients who have slower, but still successful, clearance of parasites after imperfect adherence to treatment. Our model estimated that the mean infectivity of untreated infections was 29-51 times higher than that of treated infections (assuming perfect drug adherence), underlining the importance of improving treatment coverage.

conclusionUsing mathematical modelling, we quantify how delayed treatment and non-adherent treatment can increase transmission compared with prompt effective treatment. We also highlight that transmission from the large proportion of infections which never receive treatment is substantially higher than those treated.

Indexed as

malariamathematical modellingpharmacologytreatment

Identifiers

PMID31908862
PMCPMC6936434

What OpenQuestion holds

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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.