Evidence map›Paper›PMID 32923862›Full record

ReviewJCO precision oncology2019

Precision Oncology and the Universal Health Coverage System in Japan.

Hiromichi Ebi, Hideaki Bando

Abstract readReview
In one paragraph

Review in JCO precision oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
–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

64 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  18. Observational
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4 more citing papers are in PubMed but not listed here.

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.

Hiromichi EbiDivision of Molecular Therapeutics, Aichi Cancer Center Research Institute, Nagoya, Japan.
Hideaki BandoDepartment of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although precision oncology is transforming clinical management of patients with cancer, many hospitals face challenges to effectively implement precision oncology. In addition, the cost and time exerted for genomic profiling needs to be balanced with expectations of benefit for each patient. This article summarizes the effort to implement precision oncology in Japan. The most promising development is that tests to profile the genomes of select cancers are now fully covered by the national health insurance system. In May 2019, two gene panels were approved with reimbursement: FoundationOne CDx Cancer Genomic Profile and OncoGuide NCC Oncopanel System, the latter of which was developed in Japan. To make better use of scarce resources, the reimbursement is restricted to patients with solid tumors that have progressed on standard chemotherapy, rare tumors, or tumors of unknown primary. To centralize Japanese precision oncology, the government designated approximately 170 hospitals and stratified them to three layers on the basis of their roles. In addition, Japan's National Cancer Center launched a Center for Cancer Genomics and Advanced Therapeutics (C-CAT) that collects genomic information and clinical characteristics of patients who received genomic profiling tests. C-CAT is expected to be the central data repository, to match patients with clinical trials, and to assist translational research. The centralized system under the national health insurance system could be a double-edged sword. Although tight regulation may make it hard to keep up with the rapid development of precision oncology, a federated ecosystem for sharing clinical and genomic data will be a precious asset and allow for shared access to data. Access to unapproved drugs and administrative support from C-CAT will be keys for Japanese precision oncology to meet its full potential.

Identifiers

PMID32923862
PMCPMC7446489

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.