Evidence map›Paper›PMID 34079831›Full record

ArticleFrontiers in veterinary science2021

Urinary Cell-Free miR-99a-5p as a Potential Biomarker for Estrus Detection in Buffalo.

Aparna Hebbar, Rajeev Chandel, Payal Rani, Suneel Kumar Onteru, Dheer Singh

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

Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 9 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Aparna HebbarAnimal Biochemistry Division, Molecular Endocrinology, Functional Genomics and Systems Biology Laboratory, Indian Council of Agricultural Research -National Dairy Research Institute, Karnal, India.
Rajeev ChandelAnimal Biochemistry Division, Molecular Endocrinology, Functional Genomics and Systems Biology Laboratory, Indian Council of Agricultural Research -National Dairy Research Institute, Karnal, India.
Payal RaniAnimal Biochemistry Division, Molecular Endocrinology, Functional Genomics and Systems Biology Laboratory, Indian Council of Agricultural Research -National Dairy Research Institute, Karnal, India.
Suneel Kumar OnteruAnimal Biochemistry Division, Molecular Endocrinology, Functional Genomics and Systems Biology Laboratory, Indian Council of Agricultural Research -National Dairy Research Institute, Karnal, India.
Dheer SinghAnimal Biochemistry Division, Molecular Endocrinology, Functional Genomics and Systems Biology Laboratory, Indian Council of Agricultural Research -National Dairy Research Institute, Karnal, India.
National Dairy Research Institute · INIndian Council of Agricultural Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate estrus detection method is the need of the hour to improve reproductive efficiency of buffaloes in dairy industry, as the currently available estrus detection methods/tools lack high sensitivity and specificity. Recently, circulating miRNAs have been shown as non-invasive biomarkers by various studies. Hence, in order to evaluate their potential as estrus biomarkers, the objective of this study was to identify and compare the levels of 10 hormone-responsive miRNAs in the urine collected at proestrus (PE), estrus (E), and diestrus (DE) phases of buffaloes (

Indexed as

bta-miR-99a-5pbuffalocell free miRNAestrusqRT-PCRurine

Identifiers

PMID34079831
PMCPMC8165190
OpenAlexW3163006707

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.