ArticleCancer science2026
Realizing Equitable Precision Oncology via Remote Participation: Japan's First Fully Decentralized Trial (WJOG15221M).
Article in Cancer science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
WJOG15221M is Japan's first fully remote, investigator-initiated oncology trial, successfully enrolling 28 patients-36% remotely-by integrating trial access into the national CGP program and leveraging existing healthcare infrastructure without new digital tools. Targeting rare ALK fusion-positive tumors, the trial demonstrated that decentralized models can improve equity, efficiency, and continuity of care, offering a scalable path for future precision oncology trials.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.