Evidence map›Paper›PMID 34267778›Full record

ArticleFrontiers in genetics2021

Identifying miRNA-mRNA Integration Set Associated With Survival Time.

Yongkang Kim, Sungyoung Lee, Jin-Young Jang, Seungyeoun Lee, Taesung Park

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

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 62% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Yongkang KimDepartment of Statistics, Seoul National University, Seoul, South Korea.
Sungyoung LeeCenter for Precision Medicine, Seoul National University Hospital, Seoul, South Korea.
Jin-Young JangDepartment of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, South Korea.
Seungyeoun LeeDepartment of Mathematics and Statistics, Sejong University, Seoul, South Korea.
Taesung ParkDepartment of Statistics, Seoul National University, Seoul, South Korea.
Seoul National University · KRSejong University · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the "personalized medicine" era, one of the most difficult problems is identification of combined markers from different omics platforms. Many methods have been developed to identify candidate markers for each type of omics data, but few methods facilitate the identification of multiple markers on multi-omics platforms. microRNAs (miRNAs) is well known to affect only indirectly phenotypes by regulating mRNA expression and/or protein translation. To take into account this knowledge into practice, we suggest a miRNA-mRNA integration model for survival time analysis, called

Indexed as

miRNA-mRNA integrationpancreatic ductal adenocarcinomapersonalized medicinestatistical methodThe Cancer Genome Atlas

Identifiers

PMID34267778
PMCPMC8276759
OpenAlexW3174086060

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.