Evidence map›Paper›PMID 41577841›Full record

ReviewDiscover oncology2026

Comprehensive review of publicly accessible databases for gastrointestinal cancer and future challenges in database construction.

Han Zhang, Shicai Liu

Abstract readReview
In one paragraph

Review in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Han ZhangSchool of Basic Medical Sciences, Wannan Medical College, Wuhu, 241002, China.
Shicai LiuSchool of Medical Information, Wannan Medical College, No. 22 Wenchang West Road, Wuhu, 241002, China. liushicainj@163.com.

Funding

Talent Scientific Research Start-up Foundation of Wannan Medical College WYRCQD2023045
6 · The paper itself

Abstract

Cancer database is a systematic collection and analysis of various human cancer information at the genomic and molecular levels, which can be used to understand the mechanisms of cancer occurrence and development, and facilitate the diagnosis and treatment of cancer. Gastrointestinal (GI) cancer is one of the leading causes of incidence and mortality worldwide. The progress and development of high-throughput sequencing technology have led to the emergence of a large amount of cancer-related omics data, such as genomics, transcriptomics, and proteomics, laying a data foundation for the diagnosis and treatment of cancer. These omics data are stored in various databases. Public resources promote the progress of scientific research. High-throughput sequencing technology and the era of big data have created a need for collaboration and data sharing in order to effectively utilize this new knowledge. This article provided comprehensive information on 54 publicly accessible databases containing GI cancer-related information, including 44 general databases and 10 specific databases designed for GI cancer. Moreover, we discussed the challenges faced in the construction of GI cancer database and future research directions. We hope that such an introduction can raise awareness and promote the full and effective utilization of these data resources, thereby improving the management of patients with GI cancer.

Indexed as

CollaborationDatabaseGastrointestinal cancerHigh-throughput sequencingSharing

Identifiers

PMID41577841
PMCPMC12909638

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.