Evidence map›Paper›PMID 42033063›Full record

ArticleThoracic cancer2026

Efficacy of Osimertinib in Patients With Postoperative Recurrent Non-Small-Cell Lung Cancer Harboring Sensitizing EGFR Mutations.

Yuko Iida, Hirotsugu Kenmotsu, Keita Mori, Meiko Morita, Motoki Sekikawa, Michitoshi Yabe, Kosei Doshita, Keita Miura, Hiroaki Kodama, Noboru Morikawa and 10 more

Abstract read
In one paragraph

Article in Thoracic cancer, 2026. 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

20 authors.

Yuko IidaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.ORCID https://orcid.org/0000-0002-1807-7781
Hirotsugu KenmotsuDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Keita MoriDepartment of Biostatistics, Clinical Research Support Center, Shizuoka Cancer Center, Shizuoka, Japan.
Meiko MoritaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.ORCID https://orcid.org/0009-0000-9248-4265
Motoki SekikawaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Michitoshi YabeDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Kosei DoshitaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Keita MiuraDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Hiroaki KodamaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Noboru MorikawaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Nobuaki MamesayaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Haruki KobayashiDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Ryo KoDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Kazushige WakudaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.ORCID https://orcid.org/0000-0002-6369-2388
Akira OnoDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Tateaki NaitoDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.ORCID https://orcid.org/0000-0003-4047-2929
Haruyasu MurakamiDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.ORCID https://orcid.org/0000-0003-2416-546X
Yasuhisa OhdeDivision of Thoracic Surgery, Shizuoka Cancer Center, Shizuoka, Japan.
Yasuhiro GonDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, Tokyo, Japan.
Toshiaki TakahashiDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe efficacy of osimertinib in patients with postoperative recurrent non-small-cell lung cancer (NSCLC) compared to those with Stage IV NSCLC harboring epidermal growth factor receptor (EGFR) mutations remains unclear.

methodsThis study evaluated the efficacy of osimertinib in patients with postoperative recurrent EGFR-mutated NSCLC. We retrospectively evaluated patients with NSCLC harboring EGFR mutations (exon 19 deletion or L858R mutation) who received osimertinib between September 2018 and July 2022 at a single institution. The efficacy of osimertinib was compared between patients with postoperative recurrent NSCLC (postoperative group) and those with Stage IV NSCLC (Stage IV group).

resultsAmong a total of 172 patients treated with osimertinib, 52 were classified into the postoperative group and 120 into the Stage IV group. The response rate (58.1% vs. 61.8%, p = 0.836) and progression-free survival (hazard ratio [HR]: 0.854, 95% confidence interval [CI]: 0.558-1.306, p = 0.465) were not significantly different between the postoperative and Stage IV groups. Overall survival (OS) was significantly longer in the postoperative group than in the Stage IV group (median: 39.2 months and 28.5 months, respectively; HR: 0.521, 95% CI: 0.293-0.927, p = 0.024). In the multivariable analysis of OS, postoperative recurrent disease and performance status were independent favorable prognostic factors.

conclusionsPostoperative recurrent disease was an independent favorable prognostic factor in patients with NSCLC harboring EGFR mutations treated with osimertinib.

Indexed as

AcrylamidesAniline CompoundsCarcinoma, Non-Small-Cell LungLung NeoplasmsNeoplasm Recurrence, LocalAgedErbB ReceptorsFemaleHumansIndolesMaleMiddle AgedMutationPrognosisPyrimidinesRetrospective StudiesAcrylamidesAniline CompoundsEGFR protein, humanErbB ReceptorsIndolesosimertinibPyrimidinesEGFRmutationnon–small‐cell lung cancerosimertinibpostoperative recurrent

Identifiers

PMID42033063
PMCPMC13109651

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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.