Evidence map›Paper›PMID 36300307›Full record

Observational studyJapanese journal of clinical oncology2023

Observational study to predict the efficacy and optimal duration of nivolumab treatment in patients with previously treated advanced or recurrent non-small cell lung cancer.

Yasushi Goto, Kiyotaka Yoh, Terufumi Kato, Yukio Hosomi, Kazuhiro Usui, Tomoya Fukui, Katsuya Hirano, Hiroshi Tanaka, Masataka Taguri, Hideo Kunitoh

Abstract readObservational Study
In one paragraph

Observational study in Japanese journal of clinical oncology, 2023. 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

10 authors.

Yasushi GotoDepartment of Thoracic Oncology, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.ORCID 0000-0002-7437-5054
Kiyotaka YohDepartment of Thoracic Oncology, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
Terufumi KatoDepartment of Thoracic Oncology, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan.
Yukio HosomiDepartment of Thoracic Oncology & Respiratory Medicine, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Bunkyo-ku, Tokyo, Japan.ORCID 0000-0002-3849-5905
Kazuhiro UsuiDivision of Respirology, NTT Medical Center Tokyo, Shinagawa-ku, Tokyo, Japan.
Tomoya FukuiDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Katsuya HiranoDepartment of Respiratory Medicine, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Hyogo, Japan.
Hiroshi TanakaDepartment of Internal Medicine, Niigata Cancer Center Hospital, Niigata, Niigata, Japan.
Masataka TaguriDepartment of Data Science, Yokohama City University Graduate School of Data Science, Yokohama, Kanagawa, Japan.
Hideo KunitohDepartment of Medical Oncology, Japanese Red Cross Medical Center, Shibuya-ku, Tokyo, Japan.

Funding

Ono Pharmaceutical Co, Ltd
6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors, including nivolumab, are essential agents for treating non-small cell lung cancer. However, predictive markers are currently lacking, especially using factors based on patient-reported outcomes.

methodsWe conducted a prospective observational study of 244 patients with advanced or recurrent non-small cell lung cancer treated with second- or later-line nivolumab from August 2016 to December 2017. Patient-reported outcomes, including quality of life, were evaluated by the EQ-5D-5L before and during nivolumab treatment. To predict the efficacy of nivolumab during the early treatment phase, we also analyzed the patients' clinical characteristics, responses and immune-related adverse events at 9 weeks of therapy. The primary endpoint was the disease control rate at 25 weeks after the initiation of nivolumab.

resultsThe objective response and disease control rates at 25 weeks were 18.5 and 41.2%, respectively. The emergence of immune-related adverse events at 9 weeks did not significantly affect the disease control rate at 6 months. The response at 9 weeks and patient-reported quality of life were potentially predictive of disease control at week 25. Disease control on week 9 and patients-reported outcomes were potential predictive factors for the overall survival.

conclusionsThis study found no new baseline factors predicting the outcome of nivolumab treatment in patients with non-small cell lung cancer, but response to nivolumab was a robust predictor of overall efficacy. In addition, patient-perceived quality of life could predict the durable efficacy of immune checkpoint inhibitors.

Indexed as

Antineoplastic Agents, ImmunologicalCarcinoma, Non-Small-Cell LungLung NeoplasmsHumansImmune Checkpoint InhibitorsNeoplasm Recurrence, LocalNivolumabQuality of LifeAntineoplastic Agents, ImmunologicalImmune Checkpoint InhibitorsNivolumabimmune checkpoint inhibitorsnivolumabnon-small cell lung cancerpatient-reported outcomesquality of life

Identifiers

PMID36300307
PMCPMC9885731

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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.