Evidence map›Paper›PMID 32849894›Full record

ArticleIranian journal of veterinary research2020

Detection of non-tuberculous mycobacterial species using PCR-RFLP analysis in trans-tracheal washes in cattle and buffaloes with respiratory distress.

P Slathia, D Narang, M Chandra, A Sharma, A Narang

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in Iranian journal of veterinary research, 2020. 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, top 88% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

P SlathiaPh.D. Student in Veterinary Microbiology, Department of Veterinary Microbiology, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana-141004, Punjab, India.
D NarangDepartment of Veterinary Microbiology, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana-141004, Punjab, India.
M ChandraDepartment of Veterinary Microbiology, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana-141004, Punjab, India.
A SharmaDepartment of Veterinary Medicine, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana-141004, Punjab, India.
A NarangDepartment of Veterinary Medicine, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana-141004, Punjab, India.
Guru Angad Dev Veterinary and Animal Sciences University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBovine tuberculosis (bTB) is a chronic disease of cattle with high economic importance in livestock farming caused by

aimsThe aim of the study was to detect NTM species from cattle and buffaloes with respiratory distress using biochemical test and polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis (PRA).

methodsA total of 50 trans-tracheal washes were collected from cattle (n=41) and buffaloes (n=9) with respiratory distress. The samples were inoculated on Middlebrook

resultsOut of 50 trans-tracheal washes only one isolate of

conclusionThe study emphasizes the importance of NTM in animals. Polymerase chain reaction-restriction fragment length polymorphism analysis is a more reliable and rapid method for identification of NTM than conventional methods.

Indexed as

hsp65IdentificationNon-tuberculous mycobacteriaPolymerase chain reactionRestriction fragment length polymorphism

Identifiers

PMID32849894
PMCPMC7430363
OpenAlexW3044753750

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.