Evidence map›Paper›PMID 34378299›Full record

Trial reportGeriatrics & gerontology international2021

Efficacy of erlotinib and its effects on the quality of life of older patients with epidermal growth factor receptor-mutant non-small cell lung cancer: A prospective, multicenter, dose-modification study.

Yukari Tsubata, Takeshi Masuda, Kosuke Hamai, Masaya Taniwaki, Akari Tanino, Takamasa Hotta, Megumi Hamaguchi, Shunichi Hamaguchi, Masahiro Yamasaki, Nobuhisa Ishikawa and 3 more

Abstract readClinical Trial, Phase IIMulticenter Study
In one paragraph

Trial report in Geriatrics & gerontology international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

13 authors.

Yukari TsubataDepartment of Internal Medicine, Division of Medical Oncology & Respiratory Medicine, Shimane University Faculty of Medicine, Izumo, Japan.ORCID https://orcid.org/0000-0002-4260-2849
Takeshi MasudaDepartment of Respiratory Internal Medicine, Hiroshima University Hospital, Hiroshima, Japan.
Kosuke HamaiDepartment of Respiratory Medicine, Hiroshima Prefectural Hospital, Hiroshima, Japan.
Masaya TaniwakiDepartment of Respiratory Medicine, Hiroshima Red Cross Hospital and Atomic-bomb Survivors Hospital, Hiroshima, Japan.
Akari TaninoDepartment of Internal Medicine, Division of Medical Oncology & Respiratory Medicine, Shimane University Faculty of Medicine, Izumo, Japan.
Takamasa HottaDepartment of Internal Medicine, Division of Medical Oncology & Respiratory Medicine, Shimane University Faculty of Medicine, Izumo, Japan.
Megumi HamaguchiDepartment of Internal Medicine, Division of Medical Oncology & Respiratory Medicine, Shimane University Faculty of Medicine, Izumo, Japan.
Shunichi HamaguchiDepartment of Internal Medicine, Division of Medical Oncology & Respiratory Medicine, Shimane University Faculty of Medicine, Izumo, Japan.
Masahiro YamasakiDepartment of Respiratory Medicine, Hiroshima Red Cross Hospital and Atomic-bomb Survivors Hospital, Hiroshima, Japan.
Nobuhisa IshikawaRespiratory Medicine, SUTANI Clinic, Izumo, Japan.
Kazunori FujitakaDepartment of Respiratory Internal Medicine, Hiroshima University Hospital, Hiroshima, Japan.
Akihisa SutaniRespiratory Medicine, SUTANI Clinic, Izumo, Japan.
Takeshi IsobeDepartment of Internal Medicine, Division of Medical Oncology & Respiratory Medicine, Shimane University Faculty of Medicine, Izumo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimGefitinib and erlotinib are efficacious and safe for older patients with epidermal growth factor receptor-mutant non-small cell lung cancer. However, prolonged use of epidermal growth factor receptor-tyrosine kinase inhibitors in older patients is difficult, owing to potential adverse events. Hence, dose reduction or treatment discontinuation is often required. We investigated the efficacy of low-dose first-line erlotinib and its effects on the quality of life of older patients with lung cancer.

methodsA prospective, multicenter, phase II clinical trial was carried out in patients aged ≥75 years with epidermal growth factor receptor-mutant non-small cell lung cancer. Initially, 100 mg/day erlotinib was administered orally; if well tolerated, it was increased to 150 mg/day. The primary end-point was progression-free survival, and secondary end-points were the response rate, overall survival and change in quality of life ("Care Notebook" questionnaire).

resultsThe median progression-free survival was 17.8 months, response rate was 63.6% and median overall survival was 27.8 months. The change in the quality of life after 6 weeks was assessed in 72.7% of the patients. Fatigue, pain, anxiety and deterioration in daily activities were found in at least 40% of the patients. Despite the therapeutic effect of 100 mg/day erlotinib, many patients required dose reduction, and in some, the quality of life could not be maintained.

conclusionsMany older patients with epidermal growth factor receptor-mutant non-small cell lung cancer might require treatment dose reduction. Further studies are required to develop individualized treatments for older patients with lung cancer. Geriatr Gerontol Int 2021; 21: 881-886.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAgedAntineoplastic Combined Chemotherapy ProtocolsErbB ReceptorsErlotinib HydrochlorideHumansMutationProspective StudiesQuality of LifeErbB ReceptorsErlotinib Hydrochlorideepidermal growth factor receptor tyrosine kinase inhibitornon-small cell lung cancerolder patientsquality of life

Identifiers

PMID34378299
PMCPMC8518893

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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.