Evidence map›Paper›PMID 42726375›Full record

ArticleAdvances in therapy2026

Evolution of Real-World Treatment Patterns over Time in Patients with HER2-Negative Advanced Gastric Cancer: A Retrospective Database Cohort Study from Japan.

Shuichi Hironaka, Yuya Kimijima, Yusuke Shinno, Eiji Nishiyama, Yorifumi Kikko, Yuko Matsuda, Tsunehisa Yamamoto, Bruno Casaes Teixeira, Takaki Yoshikawa

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Article in Advances in therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Shuichi HironakaDepartment of Medical Oncology, School of Medicine, Kyorin University, 6-20-2 Shinkawa Mitaka-shi, Tokyo, 181-8611, Japan. shuichi-hironaka@ks.kyorin-u.ac.jp.ORCID http://orcid.org/0000-0001-9714-231X
Yuya KimijimaBristol Myers Squibb, Tokyo, Japan.ORCID http://orcid.org/0009-0004-4331-6598
Yusuke ShinnoOno Pharmaceutical Co., Ltd., Osaka, Japan.
Eiji NishiyamaOno Pharmaceutical Co., Ltd., Osaka, Japan.
Yorifumi KikkoBristol Myers Squibb, Tokyo, Japan.ORCID http://orcid.org/0000-0002-3693-9517
Yuko MatsudaOno Pharmaceutical Co., Ltd., Osaka, Japan.
Tsunehisa YamamotoBristol Myers Squibb, Tokyo, Japan.ORCID http://orcid.org/0000-0002-5241-9482
Bruno Casaes TeixeiraBristol Myers Squibb, Uxbridge, UK.ORCID http://orcid.org/0000-0003-2366-0960
Takaki YoshikawaDepartment of Gastric Surgery, National Cancer Center Hospital, Tokyo, Japan.ORCID http://orcid.org/0000-0003-1936-9484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe treatment paradigm for patients with human epidermal growth factor receptor 2 (HER2)-negative advanced gastric cancer (aGC) has shifted after the introduction of new regimens.

methodsThis retrospective analysis of hospital-based administrative claims data included adults (aged ≥ 20 years) who received guideline-recommended first-line treatment for HER2-negative aGC from January 1, 2012 to December 31, 2023. The primary objective was to examine the evolution of real-world treatment patterns in these patients across six eras, each spanning two calendar-year intervals from 2012 to 2023 (era 1, 2012-2013; era 2, 2014-2015; era 3, 2016-2017; era 4, 2018-2019; era 5, 2020-2021; era 6, 2022-2023).

resultsAmong 16,573 patients (72.1% male, 27.9% female; median age 70 years), tegafur-gimeracil-oteracil (S-1) plus cisplatin (SP) was the most common first-line regimen in 2012-2013 (94.0%). S-1 plus oxaliplatin (SOX) use increased from 22.4% in 2014-2015 to 66.3% in 2020-2021. Capecitabine plus oxaliplatin (CapeOX) and folinic acid-fluorouracil plus oxaliplatin (FOLFOX) use also increased in 2020-2021 (to 6.0% and 10.5%, respectively), whereas SP decreased (to 14.8%). In 2022-2023, first-line nivolumab plus chemotherapy (SOX, FOLFOX, or CapeOX) became the most common regimens (48.1%, 11.0%, and 2.6%, respectively), while SOX and SP decreased (to 26.2% and 2.0%, respectively). The proportion of patients aged ≥ 75 years increased over time. Median overall duration of therapy (DoT) also increased from 2012-2013 (8.5 months) to 2022-2023 (12.5 months). DoT did not change in the second- and third-line setting. In 2022-2023, median first-line DoT was longer with nivolumab plus chemotherapy versus chemotherapy alone (6.3 vs 5.0 months).

conclusionUse of newly introduced first-line regimens for HER2-negative aGC in Japanese clinical practice has increased over time, with an increase in the overall DoT.

Indexed as

Administrative claims dataJapanNivolumabStomach neoplasmsTreatment patterns

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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.