Evidence map›Paper›PMID 31186539›Full record

ReviewNature reviews. Cardiology2019

RNA-based diagnostic and therapeutic strategies for cardiovascular disease.

Dongchao Lu, Thomas Thum

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
182citing papers in PubMed, 1 pooled it
–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

182 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. RNA methylation in vascular disease: a systematic review.Journal of cardiothoracic surgery · 2022
    Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Gene therapy for cardiac arrhythmias.Nature reviews. Cardiology · 2026
    Review
  12. Article
  13. Review
  14. Review
  15. RNA Therapeutics in Heart Failure.Journal of cardiovascular translational research · 2025
    Review
  16. RNA chemistry and therapeutics.Nature reviews. Drug discovery · 2025
    Review
  17. Review
  18. Article
  19. Review
  20. Review

122 more citing papers are in PubMed but not listed here.

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

2 authors.

Dongchao LuInstitute of Molecular and Translational Therapeutic Strategies, Hannover Medical School, Hannover, Germany.
Thomas ThumInstitute of Molecular and Translational Therapeutic Strategies, Hannover Medical School, Hannover, Germany. thum.thomas@mh-hannover.de.ORCID http://orcid.org/0000-0003-4360-1511

Funding

European Research Council
6 · The paper itself

Abstract

Cardiovascular diseases are the leading cause of death globally and are associated with increasing financial expenditure. With the availability of next-generation sequencing technologies since the early 2000s, non-coding RNAs such as microRNAs, long non-coding RNAs and circular RNAs have been assessed as potential therapeutic targets for numerous diseases, including cardiovascular diseases. In this Review, we summarize current approaches employed to screen for novel coding and non-coding RNA candidates with diagnostic and therapeutic potential in cardiovascular disease, including next-generation sequencing, functional high-throughput RNA screening and single-cell sequencing technologies. Furthermore, we highlight viral-based delivery tools that have been widely used to evaluate the therapeutic utility of both coding and non-coding RNAs in the context of cardiovascular disease. Finally, we discuss the potential of using oligonucleotide-based molecular products such as modified RNA, small interfering RNA and RNA mimics/inhibitors for the treatment of cardiovascular diseases. Given that many non-coding RNAs have not yet been functionally annotated, the number of potential RNA diagnostic and therapeutic targets for cardiovascular diseases will continue to expand for years to come.

Indexed as

AnimalsBiomarkersCardiovascular DiseasesGenetic TherapyGene Transfer TechniquesHigh-Throughput Screening AssaysHumansMicroRNAsOligonucleotide Array Sequence AnalysisRNA, CircularRNA, Long NoncodingRNA-SeqBiomarkersMicroRNAsRNA, CircularRNA, Long Noncoding

Identifiers

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.