Evidence map›Paper›PMID 35430561›Full record

ArticleJMIR cancer2022

The Cancer Research Database (CRDB): Integrated Platform to Gain Statistical Insight Into the Correlation Between Cancer and COVID-19.

Shahid Ullah, Farhan Ullah, Wajeeha Rahman, Dimitrios A Karras, Anees Ullah, Gulzar Ahmad, Muhammad Ijaz, Tianshun Gao

Abstract read
In one paragraph

Article in JMIR cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  4. Review
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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

8 authors.

Shahid Ullah *S-Khan Lab Mardan, Khyber Pakhtunkhwa, Pakistan.ORCID https://orcid.org/0000-0001-6694-5590
Farhan UllahS-Khan Lab Mardan, Khyber Pakhtunkhwa, Pakistan.ORCID https://orcid.org/0000-0001-8929-9229
Wajeeha RahmanS-Khan Lab Mardan, Khyber Pakhtunkhwa, Pakistan.ORCID https://orcid.org/0000-0001-6638-7760
Dimitrios A KarrasDepartment General, Faculty of Science, National and Kapodistrian University of Athens, Athens, Greece.ORCID https://orcid.org/0000-0002-2759-8482
Anees UllahKyrgyz State Medical University, Bishkek, Kyrgyzstan.ORCID https://orcid.org/0000-0002-3184-2791
Gulzar AhmadS-Khan Lab Mardan, Khyber Pakhtunkhwa, Pakistan.ORCID https://orcid.org/0000-0001-6832-1685
Muhammad IjazS-Khan Lab Mardan, Khyber Pakhtunkhwa, Pakistan.ORCID https://orcid.org/0000-0002-2272-6430
Tianshun Gao *Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.ORCID https://orcid.org/0000-0002-0466-9081

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe advancement of cancer research has been facilitated through freely available cancer literature, databases, and tools. The age of genomics and big data has given rise to the need for cooperation and data sharing in order to make efficient use of this new information in the COVID-19 pandemic. Although there are many databases for cancer research, their access is not easy owing to different ways of processing and managing the data. There is an absence of a unified platform to manage all of them in a transparent and more comprehensible way.

objectiveIn this study, an improved integrated cancer research database and platform is provided to facilitate a deeper statistical insight into the correlation between cancer and the COVID-19 pandemic, unifying the collection of almost all previous published cancer databases and defining a model web database for cancer research, and scoring databases on the basis of the variety types of cancer, sample size, completeness of omics results, and user interface.

methodsDatabases examined and integrated include the Data Portal database, Genomic database, Proteomic database, Expression database, Gene database, and Mutation database; and it is expected that this launch will sort, save, advance the understanding and encourage the use of these resources in the cancer research environment.

resultsTo make it easy to search valuable information, 85 cancer databases are provided in the form of a table, and a database of databases named the Cancer Research Database (CRDB) has been built and presented herein. Furthermore, the CRDB has been herein equipped with unique navigation tools in order to be explored by three methods; that is, any single database can be browsed by typing the name in the given search bar, while all categories can be browsed by clicking on the name of the category or image expression icon, thus serving as a facility that could provide all the category databases on a single click.

conclusionsThe computational platform (PHP, HTML, CSS, and MySQL) used to build CRDB for the cancer scientific community can be freely investigated and browsed on the internet and is planned to be updated in a timely manner. In addition, based on the proposed platform, the status and diagnoses statistics of cancer during the COVID-19 pandemic have been thoroughly investigated herein using CRDB, thus providing an easy-to-manage, understandable framework that mines knowledge for future researchers.

Indexed as

cancer and COVID-19cancer databasecancer researchcancer statisticsCOVID-19CRDBgenomicshealth databasePHPresearch platform

Identifiers

PMID35430561
PMCPMC9191331

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LicenceCC BY
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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.