Evidence map›Paper›PMID 31013749›Full record

ArticleTropical medicine and infectious disease2019

Development of a Low-Density DNA Microarray for Detecting Tick-Borne Bacterial and Piroplasmid Pathogens in African Cattle.

Babette Abanda, Archile Paguem, Mbunkah Daniel Achukwi, Alfons Renz, Albert Eisenbarth

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Review
  2. Fast Spot Locating for Low-Density DNA Microarray.Sensors (Basel, Switzerland) · 2025
    Article
  3. Review
  4. Article
  5. Review
  6. Article
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

5 authors.

Babette AbandaInstitute of Evolution and Ecology, Department of Comparative Zoology, University of Tübingen, Auf der Morgenstelle 28, D-72076 Tübingen, Germany. guimbangabanda@yahoo.fr.
Archile PaguemInstitute of Evolution and Ecology, Department of Comparative Zoology, University of Tübingen, Auf der Morgenstelle 28, D-72076 Tübingen, Germany. achillepaguem@yahoo.fr.
Mbunkah Daniel AchukwiTrypanosomosis Onchocerciasis Zoonoses Association for Research & Development, Research Laboratory, Bambili-Tubah, P.O. Box 59 Bamenda, Cameroon. mbunkahachukwi@gmail.com.
Alfons RenzInstitute of Evolution and Ecology, Department of Comparative Zoology, University of Tübingen, Auf der Morgenstelle 28, D-72076 Tübingen, Germany. alfons.renz@uni-tuebingen.de.ORCID 0000-0002-7846-488X
Albert EisenbarthInstitute of Evolution and Ecology, Department of Comparative Zoology, University of Tübingen, Auf der Morgenstelle 28, D-72076 Tübingen, Germany. albert.eisenbarth@fli.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Africa, pathogens transmitted by ticks are of major concern in livestock production and human health. Despite noticeable improvements particularly of molecular screening methods, their widespread availability and the detection of multiple infections remain challenging. Hence, we developed a universally accessible and robust tool for the detection of bacterial pathogens and piroplasmid parasites of cattle. A low-cost and low-density chip DNA microarray kit (LCD-Array) was designed and tested towards its specificity and sensitivity for five genera causing tick-borne diseases. The blood samples used for this study were collected from cattle in Northern Cameroon. Altogether, 12 species of the genera

Indexed as

AnaplasmaEhrlichialow-cost and low-density-arrayReverse Line BlotRickettsiaTheileriatick-borne pathogen

Identifiers

PMID31013749
PMCPMC6630218

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Registered trials

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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.