Evidence mapPaperPMID 35154284Full record

ArticleFrontiers in genetics2022

MIMRDA: A Method Incorporating the miRNA and mRNA Expression Profiles for Predicting miRNA-Disease Associations to Identify Key miRNAs (microRNAs).

Xianbin Li, Hannan Ai, Bizhou Li, Chaohui Zhang, Fanmei Meng, Yuncan Ai

Abstract read
In one paragraph

Article in Frontiers in genetics, 2022. 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. miRNAs in Heart Development and Disease.International journal of molecular sciences · 2024
    Review
  2. 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

6 authors.

Xianbin LiState Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
Hannan AiState Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
Bizhou LiState Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
Chaohui ZhangState Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
Fanmei MengState Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
Yuncan AiState Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying cancer-related miRNAs (or microRNAs) that precisely target mRNAs is important for diagnosis and treatment of cancer. Creating novel methods to identify candidate miRNAs becomes an imminent Frontier of researches in the field. One major obstacle lies in the integration of the state-of-the-art databases. Here, we introduce a novel method, MIMRDA, which incorporates the

Indexed as

drug resistancedrug sensitivitymicroRNA (or miRNA)MIMRDA prediction methodmiRNA-disease associationsurvival analysis

Identifiers

PMID35154284
PMCPMC8829120

What Socratic 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 Socratic graph.