Evidence map›Paper›PMID 36455173›Full record

ArticleJCO global oncology2022

Use of Anticancer Therapies and Economic Burden Near the End of Life in Japan: Results From Claims Database.

Yusuke Kajimoto, Kazunori Honda, Kazuki Nozawa, Mineko Mukai, Lida Teng, Ataru Igarashi

Abstract read
In one paragraph

Article in JCO global oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Yusuke KajimotoDepartment of Health Economics and Outcomes Research, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-3681-5757
Kazunori HondaDepartment of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya, Japan.ORCID 0000-0001-5090-9771
Kazuki NozawaDepartment of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya, Japan.ORCID 0000-0002-0277-8196
Mineko MukaiNursing Department, Aichi Cancer Center Hospital, Nagoya, Japan.
Lida TengDepartment of Health Economics and Outcomes Research, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-5879-9060
Ataru IgarashiDepartment of Health Economics and Outcomes Research, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn patients with cancer, aggressive treatment near the end of life (EOL) may decrease quality of life and increase medical costs. In this study, we examined the use of anticancer therapies near the EOL in Japan.

methodsWe used a commercial database of health insurance claims in Japan, to examine patient data on cancer and death until August 2020. We assessed the proportion of patients using anticancer therapies within 14 days of death, associated factors, and medical costs from the payer's perspective.

resultsThe database documented 5,759 patients with cancer who died between December 2013 and August 2020. Among them, 4.8% of patients and 3.9% of age-adjusted patients received anticancer therapy within 14 days of death. Patients age < 60 years were associated with a high probability of receiving anticancer therapy near the EOL. The estimated annual anticancer therapy and related costs were Japanese yen 1,296 million (US dollars 12.6 million).

conclusionWe found the percentage of patients receiving anticancer therapies within 14 days of death in Japan, its associated factors, and economic burden. Our findings can serve as a benchmark for optimizing EOL care.

Indexed as

Financial StressQuality of LifeDatabases, FactualDeathHumansInfant, NewbornJapanMiddle Aged

Identifiers

PMID36455173
PMCPMC10166540

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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.