Evidence map›Paper›PMID 27249965›Full record

ArticleParasitology research2016

Improving detection of avian malaria from host blood: a step towards a standardised protocol for diagnostics.

Chris N Niebuhr, Isabel Blasco-Costa

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Parasitology research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 7 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

2 authors at 2 institutions in 2 countries.

Chris N NiebuhrDepartment of Zoology, University of Otago, PO Box 56, Dunedin, 9054, New Zealand. chris.niebuhr@postgrad.otago.ac.nz.
Isabel Blasco-CostaNatural History Museum of Geneva, PO Box 6434, 1211, Geneva 6, Switzerland.
Natural History Museum of Geneva · CHUniversity of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Avian malaria, caused by Plasmodium spp., has been linked to the mortality and population-level declines in native birds in some regions. While molecular diagnostic methods have greatly improved our ability to detect infections of both human and bird malaria, failing to identify false negatives remains an important handicap, particularly for avian malaria due to host DNA presence in the bird blood cells. In an attempt to improve the accuracy of diagnostics by PCR, we evaluated the performance of a commercial silica-membrane-based DNA extraction kit by modifying the protocol with four unpooled elution volume alternatives. Our results suggest that the best template is the DNA extract obtained from the second eluate of a first 50 μL elution step. In one case, the only band visible was from this second eluate and, thus, may not have been identified as positive for Plasmodium spp. if a different elution protocol had been followed. Our results are likely explained by the concept of size exclusion chromatography by which particles of different sizes will elute at different rates. Overall, first elution templates may consist of a lower ratio of parasite to host DNA, while second eluates may contain a higher parasite to host DNA ratio. A low ratio of parasite to host DNA is a concern in detecting chronic infections, in which birds typically carry low levels of parasitemia, making accurate diagnostics imperative when identifying reservoirs of disease that could lead to spillback events.

Indexed as

AnimalsBirdsDNA, ProtozoanFalse Negative ReactionsMalaria, AvianParasitemiaPlasmodiumPolymerase Chain ReactionDNA, ProtozoanAvian malariaElutionExtractionPCRPlasmodiumQiagen

Identifiers

PMID27249965
OpenAlexW2417555454

What OpenQuestion holds

Textmetadata
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.