Evidence map›Paper›PMID 32443464›Full record

ArticleJournal of clinical medicine2020

Chagas Disease: Detection of

Simone Kann, Meik Kunz, Jessica Hansen, Jürgen Sievertsen, Jose J Crespo, Aristides Loperena, Sandra Arriens, Thomas Dandekar

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

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  5. Frontiers in microbiology · 2024
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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

8 authors at 3 institutions in 1 country.

Simone KannBernhard-Nocht-Institute for Tropical Medicine (BNITM), Department Research and Development, 20359 Hamburg, Germany.
Meik KunzFriedrich-Alexander University of Erlangen-Nürnberg, Chair of Medical Informatics, 91054 Erlangen, Germany.
Jessica HansenBernhard-Nocht-Institute for Tropical Medicine (BNITM), Department Research and Development, 20359 Hamburg, Germany.
Jürgen SievertsenBernhard-Nocht-Institute for Tropical Medicine (BNITM), Department Research and Development, 20359 Hamburg, Germany.
Jose J CrespoOrganization Wiwa Yugumaiun Bunkuanarrua Tayrona (OWYBT), Department Health Advocacy, 200001 Valledupar, Colombia.
Aristides LoperenaOrganization Wiwa Yugumaiun Bunkuanarrua Tayrona (OWYBT), Department Health Advocacy, 200001 Valledupar, Colombia.
Sandra ArriensBernhard-Nocht-Institute for Tropical Medicine (BNITM), Department Research and Development, 20359 Hamburg, Germany.
Thomas DandekarJulius-Maximilians University, Department of Bioinformatics, Biocenter, Functional Genomics and Systems Biology Group, 97070 Wuerzburg, Germany.
Bernhard Nocht Institute for Tropical Medicine · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DEMedical Mission Institute · DE

Funding

Bundesministerium für Bildung und Forschung BWF/H/52228/2012/13.10.10-1/34,6
6 · The paper itself

Abstract

backgroundChagas disease (CD) is a major burden in Latin America, expanding also to non-endemic countries. A gold standard to detect the CD causing pathogen MATERIAL AND

methodsWe analyzed 352 serum samples from Indigenous people living in high endemic CD areas of Colombia using three leading RT-PCRs (k-DNA-, TCZ-, 18S rRNA-PCR), the newly developed one (NDO-PCR), a Rapid Test/enzyme-linked immuno sorbent assay (ELISA), and immunofluorescence. Eighty-seven PCR-products were verified by sequence analysis after plasmid vector preparation.

resultsThe NDO-PCR showed the highest sensitivity (92.3%), specificity (100%), and accuracy (94.3%) for

conclusionsThe NDO-PCR demonstrated the highest specificity, sensitivity, and accuracy compared to leading PCRs. Together with serologic tests, it can be considered as a reliable tool for CD detection and can improve CD management significantly.

Indexed as

Chagas diagnosisChagas diseaseChagas monitoringChagas real time PCRTrypanosoma cruzi

Identifiers

PMID32443464
PMCPMC7291166
OpenAlexW3025997439

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.