Evidence map›Paper›PMID 41430549›Full record

ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2025

Quality of Japanese Cancer Websites by Type of Information Provider.

Rin Yakushiji, Shinya Ito

Abstract read
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In one paragraph

Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2025. 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.

Rin YakushijiSchool of Nursing, Kitasato University, 1-15-1, Kitasato, Minami-ku, Sagamihara-city, 252-0373, Kanagawa, Japan.
Shinya ItoSchool of Nursing, Kitasato University, 1-15-1, Kitasato, Minami-ku, Sagamihara-city, 252-0373, Kanagawa, Japan. shinyai@nrs.kitasato-u.ac.jp.ORCID http://orcid.org/0000-0001-8544-4871

Funding

Japan Society for the Promotion of Science JP24K06389
6 · The paper itself

Abstract

Online cancer information is a key health resource in Japan, particularly for older adults. However, the quality may vary depending on the source. This study aimed to evaluate Japanese-language cancer webpages across different sources in terms of understandability, actionability, readability, and credibility. We analyzed 100 webpages about five major cancers (breast, colorectal, lung, prostate, and gastric) retrieved via Google. Pages, classified as academic (n = 14), medical (n = 51), or corporate (n = 35), and assessed using PEMAT-P, jReadability, and JAMA Benchmark Criteria. Overall, 79 pages (79.0%) scored ≥ 70 in understandability, while only 5 pages (5.0%) reached this threshold in actionability. Corporate pages showed the highest proportion scoring ≥ 70 in understandability (n = 34, 97.1%), followed by academic (n = 14, 100.0%) and medical (n = 31, 60.8%) sources (p < 0.001). Readability was uniformly low, with 98 pages (98.0%) rated as somewhat to very difficult. Corporate sources also displayed significantly higher credibility scores than other sources (p < 0.001). Corporate websites demonstrated clearer structure and higher transparency of source attribution, potentially reflecting organizational standards. However, actionable content remained limited across all sources. These findings highlight a misalignment between user search needs and information design, underscoring the importance of structuring content not only for clarity and reliability, but also for supporting users in taking informed health actions. This has implications for digital cancer education targeting aging populations.

Indexed as

ActionabilityCancer websiteHealth literacyJapanPEMATReadability

Identifiers

What OpenQuestion holds

Textmetadata
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.