Evidence map›Paper›PMID 24282707›Full record

ReviewCardiovascular diagnosis and therapy2012

Impact of Next-Generation Sequencing (NGS) technology on cardiovascular disease research.

Fengping Xu, Qin Wang, Fangfang Zhang, Yinling Zhu, Qingquan Gu, Liping Wu, Lin Yang, Xu Yang

Abstract readReview
In one paragraph

Review in Cardiovascular diagnosis and therapy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  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

8 authors.

Fengping XuBGI-Shenzhen, Shenzhen, China.
Qin Wang
Fangfang Zhang
Yinling Zhu
Qingquan Gu
Liping Wu
Lin Yang
Xu Yang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, hundreds of gene loci associated with multiple cardiovascular pathologies and traits have been identified through high-throughput Next-Generation Sequencing (NGS) technology. Due to the increasing efficiency and decreasing cost of NGS, rapid progresses anticipated in the field of CVD research. This review summarizes the main strategies of CV research with NGS at the level of genomics, transcriptomics, epigenetics, and proteomics.

Indexed as

Cardiovascular diseaseepigeneticsgenomicsNext-Generation Sequencingproteomics

Identifiers

PMID24282707
PMCPMC3839151

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.