Evidence map›Paper›PMID 38613332›Full record

ArticleCancer science2024

Time trend analysis of rare cancer incidence 2011-2018: Nationwide population-based cancer registries in Japan.

Hiromi Sugiyama, Manami Konda, Kumiko Saika, Tomohiro Matsuda

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2024. 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
2.7field-weighted citation impact, top 10% of its field
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, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

4 authors at 2 institutions in 1 country.

Hiromi SugiyamaDepartment of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan.ORCID https://orcid.org/0000-0003-2536-0865
Manami KondaDepartment of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan.
Kumiko SaikaDivision of International Health Policy Research, Institution for Cancer Control, National Cancer Center, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4164-4430
Tomohiro MatsudaDivision of International Health Policy Research, Institution for Cancer Control, National Cancer Center, Tokyo, Japan.ORCID https://orcid.org/0000-0002-7311-1233
National Cancer Centre Japan · JPRadiation Effects Research Foundation · JP

Funding

Ministry of Health, Labour and Welfare
6 · The paper itself

Abstract

Rare cancers collectively account for a significant proportion of the overall cancer burden in Japan. We aimed to describe and examine the incidence of each rare cancer and the temporal changes using the internationally agreed rare cancer classification. Cancer cases registered in regional population-based cancer registries from 2011 to 2015 and the National Cancer Registry (NCR) from 2016 to 2018 were classified into 18 families, 68 Tier-1 cancer groupings, and 216 single cancer entities based on the RARECAREnet list. Crude incidence rates and age-standardized incidence rates (ASR) were calculated for Tier-1 and Tier-2 cancers. The annual percent change and the 95% and 99% confidence limits for annual ASR for each of the 68 Tier-1 cancers were estimated using the log-linear regression of the weighted least squares method. The differences in ASRs between 2011 and 2018 were evaluated as an absolute change. A total of 5,640,879 cases were classified into Tier-1 and Tier-2 cancers. The ASRs of 18 out of 52 Tier-1 cancers in the rare cancer families increased, whereas the ASR for epithelial tumors of gallbladder decreased. The ASRs of 6 out of the 16 Tier-1 cancers in the common cancer families increased, whereas those of epithelial tumors of stomach and liver decreased. There was no significant change in the incidence of the other 40 Tier-1 cancers. The incidence of several cancers increased due to the dissemination of diagnostic concepts, improved diagnostic techniques, changes in coding practice, and the initiation of the NCR.

Indexed as

NeoplasmsRegistriesAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansIncidenceInfantInfant, NewbornJapanMaleMiddle AgedincidenceNational Cancer Registrypopulation‐based cancer registryrare cancertime trend

Identifiers

PMID38613332
PMCPMC11247610
OpenAlexW4394785918

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.