Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. The Nirmiti application: An innovative tool for extending CanReg5 analyses to cancer mortality and paediatric cancer

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2025

The Nirmiti application: An innovative tool for extending CanReg5 analyses to cancer mortality and paediatric cancer

0 Datasets

0 Files

en
2025
Vol 157 (1)
Vol. 157
DOI: 10.1002/ijc.35420

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Freddie Ian Bray
Freddie Ian Bray

Centre international de Recherche sur le Cancer

Verified
Pratik Sawant
Sushama Saoba
Prithviraj Kadam
+9 more

Abstract

Abstract The International Agency for Research on Cancer (IARC) Regional Hub in Mumbai provides technical support to population‐based cancer registries (PBCRs) in South and South‐East Asian (SSEA) countries. For data management and incidence rate table generation, the Hub recommends CanReg5, an open‐source registry software developed by IARC, to all PBCRs seeking support from it. However, CanReg5 is limited in generating mortality and paediatric cancer incidence tables. Several SSEA cancer registries requested the Hub to develop practical solutions to facilitate the generation of cancer rates statistics. The IARC Regional Hub, in Mumbai, subsequently developed Nirmiti , an innovative web application which is capable of generating incidence, mortality, and paediatric cancer rates based on provided input data. The application accepts registry data in a specific format and generates required tables according to the selected options; users can input data from CanReg5 or other software into Nirmiti for processing. Nirmiti generates childhood cancer rates for age‐groups 0–14 and 0–19, based on the 12 main groups and 47 subgroups of the International Incidence of Childhood Cancer, Volume 3, and is freely available to cancer registries upon request. The application has been successfully utilized by PBCRs in India, Sri Lanka, and Bhutan.

How to cite this publication

Pratik Sawant, Sushama Saoba, Prithviraj Kadam, Deepak Gupta, Adarsh Kumar Ponnada, Divya Khanna, Suraj Perera, Ugyen Tshomo, Morten Ervik, Leslie S. Mery, Freddie Ian Bray, Atul Budukh (2025). The Nirmiti application: An innovative tool for extending CanReg5 analyses to cancer mortality and paediatric cancer. , 157(1), DOI: https://doi.org/10.1002/ijc.35420.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2025

Authors

12

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/ijc.35420

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access