Evidence map›Paper›PMID 33906238›Full record

SynthesisClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

Evaluating the Diagnostic Test Accuracy of Molecular Xenomonitoring Methods for Characterizing Community Burden of Lymphatic Filariasis.

Joseph Pryce, Lisa J Reimer

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
1.0field-weighted citation impact, top 20% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  8. Lymphatic filariasis transmission 10 years after stopping mass drug administration in the Gomoa west district of Ghana.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025
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  16. What Can Modeling Tell Us About Sustainable End Points for Neglected Tropical Diseases?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
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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

2 authors at 1 institution in 1 country.

Joseph PryceDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Lisa J ReimerDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Liverpool School of Tropical Medicine · GB

Funding

Medical Research Council N013514
6 · The paper itself

Abstract

backgroundMolecular xenomonitoring (MX), the detection of pathogen DNA in mosquitoes, is a recommended approach to support lymphatic filariasis (LF) elimination efforts. Potential roles of MX include detecting presence of LF in communities and quantifying progress towards elimination of the disease. However, the relationship between MX results and human prevalence is poorly understood.

methodsWe conducted a systematic review and meta-analysis from all previously conducted studies that reported the prevalence of filarial DNA in wild-caught mosquitoes (MX rate) and the corresponding prevalence of microfilaria (mf) in humans. We calculated a pooled estimate of MX sensitivity for detecting positive communities at a range of mf prevalence values and mosquito sample sizes. We conducted a linear regression to evaluate the relationship between mf prevalence and MX rate.

resultsWe identified 24 studies comprising 144 study communities. MX had an overall sensitivity of 98.3% (95% confidence interval, 41.5-99.9%) and identified 28 positive communities that were negative in the mf survey. Low sensitivity in some studies was attributed to small mosquito sample sizes (<1000) and very low mf prevalence (<0.25%). Human mf prevalence and mass drug administration status accounted for approximately half of the variation in MX rate (R2 = 0.49, P < .001). Data from longitudinal studies showed that, within a given study area, there is a strong linear relationship between MX rate and mf prevalence (R2 = 0.78, P < .001).

conclusionsMX shows clear potential as tool for detecting communities where LF is present and as a predictor of human mf prevalence.

Indexed as

CulicidaeElephantiasis, FilarialAnimalsDiagnostic Tests, RoutineHumansMass Drug AdministrationMicrofilariaePrevalenceWuchereria bancroftilymphatic filariasismosquitoxenomonitoring

Identifiers

PMID33906238
PMCPMC8201559
OpenAlexW3158149209

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.