Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 665

The DOI matches its Crossref record.

International Journal of Cancer

Open access
·2006·International Journal of Cancer

Abstract

What's new? The GLOBOCAN database, compiled by the International Agency for Research on Cancer (IARC), is updated regularly, providing timely estimates on national cancer incidence and mortality. Here, the authors, associated with the IARC, describe the data sources and methods used to compute global cancer incidence and mortality estimates for 38 specific cancers detailed in GLOBOCAN 2018. The authors further describe novel uncertainty intervals, newly derived from a method incorporating covariates that contribute to uncertainty in cancer estimation. Uncertainty intervals are presented alongside overall estimates, which indicate that 18.1 million new cancer cases and 9.6 million cancer deaths occurred globally in 2018.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/(issn)1097-0215

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 665

Metadata

Venue
International Journal of Cancer
Publisher
Wiley
Published
2006-03-07
ISSN
  • 0020-7136 (ISSN-L)
  • 1097-0215
OpenAlex
W4207058970
Cited by
665
References
0
Type
paratext
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: International Journal of Cancer. https://app.cochat.ai/papers/10.1002/(issn)1097-0215
The paper
International Journal of Cancer. (2006). International Journal of Cancer. https://doi.org/10.1002/(issn)1097-0215

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.