Evidence map›Paper›PMID 33089222›Full record

ReviewThe Lancet. Microbe2020

Molecular surveillance of antimalarial partner drug resistance in sub-Saharan Africa: a spatial-temporal evidence mapping study.

Hanna Y Ehrlich, Justin Jones, Sunil Parikh

Open access · goldAbstract readReview
In one paragraph

Review in The Lancet. Microbe, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
4.0field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. The Global Landscape ofPathogens (Basel, Switzerland) · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Plasmodium falciparum isolates: ex vivo drug response.The Journal of antimicrobial chemotherapy · 2025
    Article
  6. Review
  7. A virus associated with the zoonotic pathogenbioRxiv : the preprint server for biology · 2024
    Article
  8. Genome Analysis ofChina CDC weekly · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Sampling for malaria molecular surveillance.Trends in parasitology · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Breaking the cycle of malaria treatment failure.Frontiers in epidemiology · 2022
    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

3 authors at 1 institution in 1 country.

Hanna Y EhrlichDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Justin JonesDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Sunil ParikhDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
TRANSMIT: Tracking Antimalarial Resistance in Mosquito PopulationsR21AI135477 · NIAID · YALE UNIVERSITY · PI PARIKH, SUNIL · 2018 to 2019
$450k
Optimizing spatial sampling strategies for the molecular surveillance of drug resistant malariaF31AI150168 · NIAID · YALE UNIVERSITY · PI EHRLICH, HANNA · 2020 to 2022
$87k
NCATS NIH HHS UL1 TR001863NIAID NIH HHS F31 AI150168NIAID NIH HHS R21 AI135477
6 · The paper itself

Abstract

backgroundMolecular markers for antimalarial drug resistance can be used to rapidly monitor the emergence and spatial distribution of resistance to artemisinin-based combination therapies (ACTs). Little has been done to analyse molecular surveillance efforts or to assess surveillance coverage. This study aimed to develop an evidence map to characterise the spatial-temporal distribution and sampling methodologies of drug resistance surveillance in sub-Saharan Africa, specifically focusing on markers associated with ACT partner drugs.

methodsBy use of a systematic search, we identified studies that reported data on the following mutations associated with ACT partner drug resistance:

findingsOur search yielded 254 studies encompassing 492 year-specific and location-specific surveys from 35 malaria-endemic countries, the most complete set of molecular partner drug surveillance data to date. We observed a median time lag of 3·1 years (95% CI 1·0-7·7) from final sample acquisition to publication. 22 (49%) of the 44 countries in the study region conducted, on average, one or fewer studies every 3 years. The locations of surveillance sites were positively associated with urbanicity (p<0·0001), and the abundance of country-level data was associated with reported donor funding in 2004-18 (p=0·0011) and local government funding in 2004-09 (p=0·014). Nearly all molecular markers displayed significant regional trends over time and global spatial autocorrelation in space. For selected countries with more widespread coverage of surveillance data, some markers also displayed spatial heterogeneity.

interpretationIn most sub-Saharan countries, molecular data on antimalarial resistance might not be representative of the temporal and geographic heterogeneity of partner drug resistance, and likely do not represent the true spatially dependent distribution of partner drug resistance. Our results highlight several inefficiencies that can be improved upon to develop more accurate data landscapes, including the expansion of sentinel surveillance systems, syndemic usage of research samples, and increased participation in reporting published and unpublished data to centralised platforms.

Indexed as

AntimalarialsFolic Acid AntagonistsMalariaBiomarkersDNA Copy Number VariationsDrug ResistanceHumansAntimalarialsBiomarkersFolic Acid Antagonists

Identifiers

PMID33089222
PMCPMC7575134
OpenAlexW3083266144

What OpenQuestion holds

Textmetadata
LicenceTDM
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.