Evidence map›Paper›PMID 28848860›Full record

ArticleChronic obstructive pulmonary diseases (Miami, Fla.)2015

MicroRNAs as Therapeutic Targets in Lung Disease: Prospects and Challenges.

Tadashi Sato, Hario Baskoro, Stephen I Rennard, Kuniaki Seyama, Kazuhisa Takahashi

Open access · diamondAbstract read
In one paragraph

Article in Chronic obstructive pulmonary diseases (Miami, Fla.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
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  8. The role of miRNAs in alveolar epithelial cells in emphysema.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2021
    Review
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  16. Chronic obstructive pulmonary disease: MicroRNAs and exosomes as new diagnostic and therapeutic biomarkers.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2018
    Review
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 3 countries.

Tadashi SatoDepartment of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Hario BaskoroDepartment of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Stephen I RennardPulmonary, Critical Care, Sleep and Allergy Medicine, Department of Internal Medicine, University of Nebraska Medical Center, Omaha.
Kuniaki SeyamaDepartment of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Kazuhisa TakahashiDepartment of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Juntendo University · JPUniversity of Nebraska Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs that regulate multiple target genes providing fine-tuned coordinated expression. Growing evidence suggests that miRNAs play important roles in lung development and the pathogenesis of lung disease and that they have great potential as novel therapeutic targets for the treatment of diseases such as lung cancer, asthma, pulmonary fibrosis, and chronic obstructive pulmonary disease (COPD). We have previously shown that miR-146a is a promising therapeutic target for controlling abnormal inflammatory response in COPD through a series of

Indexed as

chronic obstructive pulmonary diseaseextracellular vesicleslong non-coding RNAlung diseasesmicroRNAmiRNA-based therapeutics

Identifiers

PMID28848860
PMCPMC5559119
OpenAlexW3020823592

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.