Evidence map›Paper›PMID 39136443›Full record

ArticleAnimal biotechnology2024

Molecular identification of haemoparasites in animals using blood lysate PCR: a quick and inexpensive alternative to purified whole genomic DNA.

Binod Kumar, Nilima N Brahmbhatt, Bhupendrakumar Thakre, Biswa Ranjan Maharana, Vijay L Parmar, Manoj Kumar

Abstract read
In one paragraph

Article in Animal biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Binod KumarDepartment of Veterinary Parasitology, College of Veterinary Science and Animal Husbandry, Kamdhenu University, Junagadh, India.
Nilima N BrahmbhattDepartment of Veterinary Parasitology, College of Veterinary Science and Animal Husbandry, Kamdhenu University, Junagadh, India.
Bhupendrakumar ThakreDepartment of Veterinary Parasitology, College of Veterinary Science and Animal Husbandry, Kamdhenu University, Junagadh, India.
Biswa Ranjan MaharanaReferral Veterinary Diagnostic and Extension Centre, LUVAS, Karnal, India.
Vijay L ParmarDepartment of Veterinary Medicine, College of Veterinary Science and Animal Husbandry, Kamdhenu University, Junagadh, India.
Manoj KumarCentral Animal House, Indira Gandhi Institute of Medical Sciences, Patna, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Haemoparasitic diseases constitute a significant constraint to economic livestock farming. Diagnostic techniques that are inexpensive, rapid, reliable, and precise are crucial for the management of diseases. In this context, PCR assays are very valuable yet expensive since the samples must be processed before being included in the PCR reaction. Accordingly, the goal of the current study was to lower the PCR costs without jeopardizing the assay's sensitivity and specificity. For that purpose, the alkaline solution was optimized for low cost and quick DNA extraction (blood lysate), and PCR reagents were modified for optimum reaction. In comparison to purified whole blood genomic DNA, the currently developed and optimized blood lysate method was found to be 95.5% less expensive, as well as being equally sensitive and specific for the molecular detection (PCR) of haemoparasites like

Indexed as

BuffaloesPolymerase Chain ReactionAnimalsBabesiaCattleCattle DiseasesDNADNA, ProtozoanDog DiseasesDogsHorsesSensitivity and SpecificityTheileriaTrypanosomaDNADNA, ProtozoanbetaineBlood lysate PCRcost analysishaemoparasitesmolecular diagnosis

Identifiers

PMID39136443
PMCPMC12674356

What OpenQuestion holds

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LicenceCC BY
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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.