Evidence map›Paper›PMID 28531230›Full record

ArticlePloS one2017

Identifying artemisinin resistance from parasite clearance half-life data with a simple Shiny web application.

Sai Thein Than Tun, Yoel Lubell, Arjen M Dondorp, Tom Fieldman, Kyaw Myo Tun, Olivier Celhay, Xin Hui Chan, Sompob Saralamba, Lisa J White

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 3 institutions in 3 countries.

Sai Thein Than TunMahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.ORCID http://orcid.org/0000-0001-9733-8304
Yoel LubellMahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.
Arjen M DondorpMahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.
Tom FieldmanSchool of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Kyaw Myo TunDefence Services Medical Academy, Yangon, Myanmar.
Olivier CelhayMahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.
Xin Hui ChanMahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.
Sompob SaralambaMahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.
Lisa J WhiteMahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.
Mahidol University · THMyanmar Oxford Clinical Research Unit · MMUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of artemisinin-resistant Plasmodium falciparum malaria is a major threat to malaria elimination. New tools for supporting the surveillance of artemisinin resistance are critical for current and future malaria control and elimination strategies. We have developed an open-access, user-friendly, web-based tool to analyse parasite clearance half-life data of P. falciparum infected patients after treatment with artemisinin derivatives, so that resistance to artemisinin can be identified. The tool can be accessed at bit.ly/id_artemisinin_resistance.

Indexed as

Drug ResistanceAnimalsAntimalarialsArtemisininsDatabases, FactualHalf-LifeHumansMalaria, FalciparumOpen Access PublishingPlasmodium falciparumWeb BrowserAntimalarialsArtemisinins

Identifiers

PMID28531230
PMCPMC5439677
OpenAlexW2619110248

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.