Evidence map›Paper›PMID 30498667›Full record

Article3 Biotech2018

Functional annotation of differentially expressed fetal cardiac microRNA targets: implication for microRNA-based cardiovascular therapeutics.

Sharad Saxena, Anubhuti Gupta, Vaibhav Shukla, Vibha Rani

Open access · bronzeAbstract read
In one paragraph

Article in 3 Biotech, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. 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

4 authors at 2 institutions in 1 country.

Sharad Saxena1Transcriptome Laboratory, Centre for Emerging Diseases, Department of Biotechnology, Jaypee Institute of Information Technology, A-10, Sector-62, Noida, Uttar Pradesh 210309 India.
Anubhuti Gupta1Transcriptome Laboratory, Centre for Emerging Diseases, Department of Biotechnology, Jaypee Institute of Information Technology, A-10, Sector-62, Noida, Uttar Pradesh 210309 India.
Vaibhav Shukla2School of Life Sciences, Manipal University, Manipal, Karnataka 576104 India.
Vibha Rani1Transcriptome Laboratory, Centre for Emerging Diseases, Department of Biotechnology, Jaypee Institute of Information Technology, A-10, Sector-62, Noida, Uttar Pradesh 210309 India.
Jaypee Institute of Information Technology · INManipal Academy of Higher Education · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression pattern of a failing heart depicts remarkable similarity with developing fetal heart. Elucidating genetic as well as epigenetic mechanisms regulating the gene expression during cardiac development will improve our understanding of cardiovascular diseases. In the present study, we aimed to validate and characterize differentially expressed known microRNAs (miRNA) obtained from next generation sequencing data of two fetal cardiac developmental stages (days 4th and 14th) from chicken (

Indexed as

BioinformaticsChicken heart developmentFetal cardiac miRNAGene re-programming

Identifiers

PMID30498667
PMCPMC6249175
OpenAlexW2901845169

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.