Evidence map›Paper›PMID 32542461›Full record

ArticleInvestigational new drugs2020

Safety and efficacy of afatinib for the treatment of non-small-cell lung cancer following osimertinib-induced interstitial lung disease: A retrospective study.

Shingo Nasu, Hidekazu Suzuki, Takayuki Shiroyama, Ayako Tanaka, Yumiko Samejima, Tomohiro Kanai, Yoshimi Noda, Naoko Morishita, Norio Okamoto, Tomonori Hirashima

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Article in Investigational new drugs, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Shingo NasuDepartment of Thoracic Oncology, Osaka Prefectural Hospital Organization, Osaka Habikino Medical Center, 3-7-1 Habikino, Habikino City, Osaka, 583- 8588, Japan. hugurahoma@yahoo.co.jp.ORCID http://orcid.org/0000-0003-1965-850X
Hidekazu SuzukiDepartment of Thoracic Oncology, Osaka Prefectural Hospital Organization, Osaka Habikino Medical Center, 3-7-1 Habikino, Habikino City, Osaka, 583- 8588, Japan.
Takayuki ShiroyamaDepartment of Thoracic Oncology, Osaka Prefectural Hospital Organization, Osaka Habikino Medical Center, 3-7-1 Habikino, Habikino City, Osaka, 583- 8588, Japan.
Ayako TanakaDepartment of Thoracic Oncology, Osaka Prefectural Hospital Organization, Osaka Habikino Medical Center, 3-7-1 Habikino, Habikino City, Osaka, 583- 8588, Japan.
Yumiko SamejimaDepartment of Thoracic Oncology, Osaka Prefectural Hospital Organization, Osaka Habikino Medical Center, 3-7-1 Habikino, Habikino City, Osaka, 583- 8588, Japan.
Tomohiro KanaiDepartment of Thoracic Oncology, Osaka Prefectural Hospital Organization, Osaka Habikino Medical Center, 3-7-1 Habikino, Habikino City, Osaka, 583- 8588, Japan.
Yoshimi NodaDepartment of Thoracic Oncology, Osaka Prefectural Hospital Organization, Osaka Habikino Medical Center, 3-7-1 Habikino, Habikino City, Osaka, 583- 8588, Japan.
Naoko MorishitaDepartment of Thoracic Oncology, Osaka Prefectural Hospital Organization, Osaka Habikino Medical Center, 3-7-1 Habikino, Habikino City, Osaka, 583- 8588, Japan.
Norio OkamotoDepartment of Thoracic Oncology, Osaka Prefectural Hospital Organization, Osaka Habikino Medical Center, 3-7-1 Habikino, Habikino City, Osaka, 583- 8588, Japan.
Tomonori HirashimaDepartment of Thoracic Oncology, Osaka Prefectural Hospital Organization, Osaka Habikino Medical Center, 3-7-1 Habikino, Habikino City, Osaka, 583- 8588, Japan.
Osaka Prefectural Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Osimertinib is one of the first-line treatments for advanced non-small-cell lung cancer (NSCLC) harboring epidermal growth factor receptor (EGFR) mutations. However, the occurrence rate of osimertinib-induced interstitial lung disease (ILD) is particularly high in Japanese patients and little information on subsequent cancer treatment options after recovery from osimertinib-induced ILD is currently available. Thus, this study aims to determine the safety and efficacy of afatinib for the treatment of NSCLC following osimertinib-induced ILD. Methods We retrospectively investigated the clinical courses of all NSCLC patients with EGFR mutations at our facility between August 2018 and September 2019, who received osimertinib as first-line treatment and were subsequently treated with afatinib after developing osimertinib-induced ILD. Results Forty-two patients received osimertinib treatment at our facility during the study period, and four patients received afatinib after developing osimertinib-induced ILD. All events of ILD improved either spontaneously or with steroid therapy before the initiation of afatinib. For the four patients who were retrospectively reviewed, the overall response rate to afatinib therapy was 75%, and the disease control rate was 100%. During the study period, no ILD recurrence was observed in any of the four patients. Conclusions According to our study findings, afatinib treatment after osimertinib-induced ILD is considered safe and effective and it can be used as one of the treatment options for NSCLC following osimertinib-induced ILD.

Indexed as

AcrylamidesAdultAfatinibAgedAged, 80 and overAniline CompoundsAntineoplastic AgentsCarcinoma, Non-Small-Cell LungFemaleHumansIndolesLung Diseases, InterstitialLung NeoplasmsMaleProtein Kinase InhibitorsPyrimidinesAcrylamidesAfatinibAniline CompoundsAntineoplastic AgentsIndolesosimertinibProtein Kinase InhibitorsPyrimidinesAfatinibDrug-induced interstitial lung diseaseEpidermal growth factor receptor mutationOsimertinib

Identifiers

PMID32542461
OpenAlexW3035002194

What OpenQuestion holds

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Registered trials

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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.