Evidence map›Paper›PMID 39493756›Full record

ArticleFrontiers in immunology2024

Idbview: a database and interactive platform for respiratory-associated disease.

Bingming Peng, Tingting Luo, Xingmeng Fu, Yingzhen Zhou, Zhou Fu, Ting Wang

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. 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
–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

1 citing paper in PubMed.

  1. 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.

Bingming PengDepartment of Respiratory, Children's Hospital of Chongqing Medical University, Chongqing, China.
Tingting LuoDepartment of Respiratory, Children's Hospital of Chongqing Medical University, Chongqing, China.
Xingmeng FuDepartment of Respiratory, Children's Hospital of Chongqing Medical University, Chongqing, China.
Yingzhen ZhouDepartment of Respiratory, Children's Hospital of Chongqing Medical University, Chongqing, China.
Zhou FuDepartment of Respiratory, Children's Hospital of Chongqing Medical University, Chongqing, China.
Ting WangDepartment of Respiratory, Children's Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public databases have become invaluable resources for disease research, particularly in the realm of identifying and validating biomarkers, thus playing a significant role in enhancing our understanding of respiratory diseases. To facilitate this understanding, the development of user-friendly analytical tools and advanced systematic models that leverage the growing omics data and clinical information datasets is essential. Despite the importance of such resources, the research progress related to respiratory diseases is hindered by the absence of a centralized platform housing easily accessible datasets and accompanying visualization tools. In an effort to streamline and standardize information sharing across diverse respiratory research initiatives, we introduce Idbview, a specialized digital database focusing on respiratory conditions, offering interactive visualization functionalities powered by both Vue and R Shiny applications. Idbview brings together clinical data and various omics datasets, serving as a centralized repository, while also providing users with a suite of interactive tools to analyze and visualize data from multiple perspectives. As a comprehensive resource hub, Idbview aims to support the research community in conducting further studies in both clinical and bioinformatics domains, with the website accessible at https://idbview.com.

Indexed as

Computational BiologyDatabases, FactualHumansRespiratory Tract DiseasesSoftwareUser-Computer InterfacedatabaseIdbviewmachine learning (ML)respiratoryweb application

Identifiers

PMID39493756
PMCPMC11528422

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.