Evidence map›Paper›PMID 32082621›Full record

ArticleCardiology research and practice2019

FibroAtlas: A Database for the Exploration of Fibrotic Diseases and Their Genes.

Jinying Liu, Dezhi Sun, Jiale Liu, Hao Xu, Yuan Liu, Yang Li, Lihong Diao, Xun Wang, Dan Wang, Lei Tian and 6 more

Abstract read
In one paragraph

Article in Cardiology research and practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

16 authors.

Jinying LiuCollege of Traditional Chinese Medicine, Chengde Medical University, Chengde, Hebei Province, China.ORCID https://orcid.org/0000-0001-5350-0373
Dezhi SunState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.ORCID https://orcid.org/0000-0002-0069-452X
Jiale LiuState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.ORCID https://orcid.org/0000-0001-7841-7728
Hao XuState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
Yuan LiuState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
Yang LiState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
Lihong DiaoState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
Xun WangState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.ORCID https://orcid.org/0000-0003-4559-5450
Dan WangState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
Lei TianSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Huimin ZhangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.ORCID https://orcid.org/0000-0002-5359-1399
Zhongyang LiuState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
Weiquan RenSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Fuchu HeState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
Dong LiState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.ORCID https://orcid.org/0000-0002-8680-0468
Shuzhen GuoSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.ORCID https://orcid.org/0000-0002-8980-9812

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFibrosis is a highly dynamic process caused by prolonged injury, deregulation of the normal processes of wound healing, and extensive deposition of extracellular matrix (ECM) proteins. During fibrosis process, multiple genes interact with environmental factors. Over recent decades, tons of fibrosis-related genes have been identified to shed light on the particular clinical manifestations of this complex process. However, the genetics information about fibrosis is dispersed in lots of extensive literature.

methodsWe extracted data from literature abstracts in PubMed by text mining, and manually curated the literature and identified the evidence sentences.

resultsWe presented FibroAtlas, which included 1,439 well-annotated fibrosis-associated genes. FibroAtlas 1.0 is the first attempt to build a nonredundant and comprehensive catalog of fibrosis-related genes with supporting evidence derived from curated published literature and allows us to have an overview of human fibrosis-related genes.

Identifiers

PMID32082621
PMCPMC7012261

What OpenQuestion holds

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Registered trials

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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.