Evidence map›Paper›PMID 35265869›Full record

SynthesisThe Lancet. Microbe2022

Mapping genetic markers of artemisinin resistance in

Frank M Kagoro, Karen I Barnes, Kevin Marsh, Nattwut Ekapirat, Chris Erwin G Mercado, Ipsita Sinha, Georgina Humphreys, Mehul Dhorda, Philippe J Guerin, Richard J Maude

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in The Lancet. Microbe, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Mapping Plasmodium falciparum mutations in Africa: A critical review of emerging drug resistance and implications for malaria control.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025
    Review
  8. Global assessment of partial artemisinin resistance: multicenter trial across Kenya, Peru, and Thailand in patients with uncomplicated Plasmodium falciparum malaria.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
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

10 authors at 7 institutions in 4 countries.

Frank M KagoroMahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Karen I BarnesWorldWide Antimalarial Resistance Network, Oxford, UK.
Kevin MarshCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Nattwut EkapiratMahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Chris Erwin G MercadoMahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Ipsita SinhaMahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Georgina HumphreysWorldWide Antimalarial Resistance Network, Oxford, UK.
Mehul DhordaMahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Philippe J GuerinWorldWide Antimalarial Resistance Network, Oxford, UK.
Richard J MaudeMahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Mahidol Oxford Tropical Medicine Research Unit · THMahidol University · THUniversity of Oxford · GBHarvard University · USInfectious Diseases Data Observatory · GBUniversity of Cape Town · ZAWorldwide Veterinary Service · GB

Funding

Wellcome TrustWellcome Trust 090770Wellcome Trust 202101Wellcome Trust 206194
6 · The paper itself

Abstract

Background: The increase in artemisinin resistance threatens malaria elimination in Asia by the target date of 2030 and could derail control efforts in other endemic regions. This study aimed to develop up-to-date spatial distribution visualisations of the Methods: In this systematic review and spatiotemporal analysis we used the WorldWide Antimalarial Resistance Network (WWARN) surveyor molecular markers of artemisinin resistance database. We updated the database by searching PubMed and SCOPUS for studies published between Jan 1, 1990, and March 31, 2021. Articles were included if they contained data on Findings: Data were collated from 72 studies comprising Interpretation: From 2002 to 2018, there has been a steady increase in geographical locations and the proportion of infected people with validated artemisinin resistance markers. More consistent data collection, over more extended periods in the same areas with the rapid sharing of data are needed to map the spread and evolution of resistance to better inform policy decisions. Data in the literature are reported in a heterogeneous way leading to difficulties in pooling and interpretation. We propose here a tool with a set of minimum criteria for reporting future studies. Funding: This research was funded in part by the Wellcome Trust.

Indexed as

AntimalarialsArtemisininsMalaria, FalciparumAsiaDrug ResistanceGenetic MarkersHumansPlasmodium falciparumSpatio-Temporal AnalysisAntimalarialsArtemisininsGenetic Markers

Identifiers

PMID35265869
PMCPMC8891024
OpenAlexW4210278223

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.