Evidence map›Paper›PMID 30518411›Full record

ArticleSystematic reviews2018

Diagnostic accuracy of molecular methods for detecting markers of antimalarial drug resistance in clinical samples of Plasmodium falciparum: protocol for an update to a systematic review and meta-analysis.

Rebekah Burrow, Thomas R Fanshawe, Georgina S Humphreys

Open access · goldAbstract read
In one paragraph

Article in Systematic reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Rebekah BurrowDepartment for Continuing Education, University of Oxford, Oxford, UK. rebekah.burrow@ndm.ox.ac.uk.ORCID 0000-0002-4757-9465
Thomas R FanshaweNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Georgina S HumphreysGreen Templeton College, University of Oxford, Oxford, UK.
University of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEach year, infection with Plasmodium causes millions of clinical cases of malaria and hundreds of thousands of deaths. Resistance to different antimalarial medications continues to develop and spread, threatening effective prophylaxis and treatment. Surveillance of resistance is required to inform health policy and preserve effective antimalarial drugs; molecular methods can be used to surveil likely parasite resistances. However, there is no consensus on the most accurate molecular methods, and large variation exists in practice. The objective of this update to this systematic review is to improve and update identification of the sensitivity and specificity of each molecular method for detecting selected antimalarial drug resistance markers.

methodsWe will include diagnostic accuracy studies that compare at least two of any molecular methods to examine blood samples from patients diagnosed with, or suspected of having malaria, to detect at least one selected marker of antimalarial drug resistance. We will search PubMed, EMBASE, BIOSIS, and Web of Science from 2000 to present. Two reviewers will independently screen all results, extract data, consider applicability, and evaluate the methodological quality of included studies using QUADAS-2. We will carry out a meta-analysis and use statistical methods to compare results from homogenous studies. We will use narrative to synthesise and compare results of heterogeneous studies. DISCUSSION: This review will help to identify sub-optimal molecular methods for antimalarial marker detection which may be discontinued and identify more sensitive and specific methods which may be adopted. More sensitive and specific detection of drug resistance can be used to improve the breadth and accuracy of surveillance. This would enable the identification of previously undiscovered areas of antimalarial resistances and susceptibilities, improve the precision of estimates of the prevalence of resistances, and improve our ability to detect smaller changes in these patterns. Higher-quality evidence generated by more accurate and detailed surveillance can be used to inform guidelines on the use of antimalarial drugs, leading to better outcomes for more patients. SYSTEMATIC REVIEW REGISTRATION: This systematic review protocol was registered with PROSPERO on 22 November 2017 (registration number CRD42017082101 ).

Indexed as

AntimalarialsDrug ResistancePlasmodium falciparumPolymerase Chain ReactionBiomarkersHumansMalaria, FalciparumMeta-Analysis as TopicMutationPrevalenceSystematic Reviews as TopicAntimalarialsBiomarkersAntimalarialDiagnostic accuracyMalariaMolecularProtocolResistanceSystematic review

Identifiers

PMID30518411
PMCPMC6280367
OpenAlexW2903465068

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.