Evidence map›Paper›PMID 34820155›Full record

ArticlePeerJ2021

Immediate pools of malaria infections at diagnosis combined with targeted deep sequencing accurately quantifies frequency of drug resistance mutations.

Ozkan Aydemir, Benedicta Mensah, Patrick W Marsh, Benjamin Abuaku, James Leslie Myers-Hansen, Jeffrey A Bailey, Anita Ghansah

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Application of a new highly multiplexed amplicon sequencing tool to evaluatemedRxiv : the preprint server for health sciences · 2024
    Article
  4. Article
  5. 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

7 authors at 3 institutions in 2 countries.

Ozkan Aydemir *Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Brown University, Providence, RI, United States of America.
Benedicta Mensah *Department of Parasitology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Accra, Ghana.
Patrick W MarshDepartment of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Brown University, Providence, RI, United States of America.
Benjamin AbuakuDepartment of Epidemiology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Accra, Ghana.
James Leslie Myers-HansenDepartment of Parasitology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Accra, Ghana.
Jeffrey A BaileyDepartment of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Brown University, Providence, RI, United States of America.
Anita GhansahDepartment of Parasitology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Accra, Ghana.
Brown University · USUniversity of Ghana · GHNoguchi Memorial Institute for Medical Research · GH

Funding

Tracking the flow of malaria parasites and drug resistance within the DRC and across its bordersR01AI139520 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BAILEY, JEFFREY A. · 2018 to 2023
$3.6M
Human copy number polymorphism and severe malariaR01AI099473 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BAILEY, JEFFREY A. · 2012 to 2015
$2.3M
Impact of Distinct Eco-epidemiology on Malaria Drug Resistance in GhanaR01AI099527 · NIAID · NOGUCHI MEMORIAL INSTITUTE / MEDICAL RES · PI GHANSAH, ANITA · 2013 to 2017
$639k
NIAID NIH HHS R01 AI099473NIAID NIH HHS R01 AI099527NIAID NIH HHS R01 AI139520
6 · The paper itself

Abstract

Antimalarial resistance surveillance in sub-Saharan Africa is often constrained by logistical and financial challenges limiting its breadth and frequency. At two sites in Ghana, we have piloted a streamlined sample pooling process created immediately by sequential addition of positive malaria cases at the time of diagnostic testing. This streamlined process involving a single tube minimized clinical and laboratory work and provided accurate frequencies of all known drug resistance mutations after high-throughput targeted sequencing using molecular inversion probes. Our study validates this method as a cost-efficient, accurate and highly-scalable approach for drug resistance mutation monitoring that can potentially be applied to other infectious diseases such as tuberculosis.

Indexed as

Drug resistanceMalariaMolecular inversion probesMolecular surveillancePlasmodium falciparum

Identifiers

PMID34820155
PMCPMC8588852
OpenAlexW3212800690

What OpenQuestion holds

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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.