Evidence map›Paper›PMID 31313805›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2020

Algorithm in the Diagnosis of Febrile Illness Using Pathogen-specific Rapid Diagnostic Tests.

Sunil Pokharel, Lisa J White, Ricardo Aguas, Olivier Celhay, Karell G Pellé, Sabine Dittrich

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05085158 (Pathogen Detection in HIV-infected Children and Adolescents With Non-malarial Febrile Illnesses Using Metagenomic Next-generation Sequencing Approach in Uganda), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% 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.

NCT05085158 unknown statusnot on this mapstarted 2023, after this paper: background citation

Pathogen Detection in HIV-infected Children and Adolescents With Non-malarial Febrile Illnesses Using Metagenomic Next-generation Sequencing Approach in Uganda

TypeobservationalSponsorMakerere UniversityRan2023 to 2024Enrolled138ConditionsHIV Infection
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 23 citations in OpenAlex.

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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

6 authors at 3 institutions in 3 countries.

Sunil PokharelCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, United Kingdom.
Lisa J WhiteCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, United Kingdom.
Ricardo AguasCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, United Kingdom.
Olivier CelhayMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Karell G PelléFoundation for Innovative New Diagnostics, Geneva, Switzerland.
Sabine DittrichCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, United Kingdom.
Mahidol University · THFoundation for Innovative New Diagnostics · CHUniversity of Oxford · GB

Funding

Wellcome TrustWellcome Trust 101148/Z/13/Z
6 · The paper itself

Abstract

backgroundIn the absence of proper guidelines and algorithms, available rapid diagnostic tests (RDTs) for common acute undifferentiated febrile illnesses are often used inappropriately.

methodsUsing prevalence data of 5 common febrile illnesses from India and Cambodia, and performance characteristics (sensitivity and specificity) of relevant pathogen-specific RDTs, we used a mathematical model to predict the probability of correct identification of each disease when diagnostic testing occurs either simultaneously or sequentially in various algorithms. We developed a web-based application of the model so as to visualize and compare output diagnostic algorithms when different disease prevalence and test performance characteristics are introduced.

resultsDiagnostic algorithms with appropriate sequential testing predicted correct identification of etiology in 74% and 89% of patients in India and Cambodia, respectively, compared with 46% and 49% with simultaneous testing. The optimally performing sequential diagnostic algorithms differed in India and Cambodia due to varying disease prevalence.

conclusionsSimultaneous testing is not appropriate for the diagnosis of acute undifferentiated febrile illnesses with presently available tests, which should deter the unsupervised use of multiplex diagnostic tests. The implementation of adaptive algorithms can predict better diagnosis and add value to the available RDTs. The web application of the model can serve as a tool to identify the optimal diagnostic algorithm in different epidemiological settings, while taking into account the local epidemiological variables and accuracy of available tests.

Indexed as

AlgorithmsDiagnostic Tests, RoutineCambodiaHumansIndiaSensitivity and Specificityacute undifferentiated febrile illnessalgorithmdiagnosisrapid diagnostic test

Identifiers

PMID31313805
PMCPMC7245147
OpenAlexW2958005486

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.