Evidence map›Paper›PMID 30950239›Full record

ArticleThoracic cancer2019

Comparison of a combination of chemotherapy and immune checkpoint inhibitors and immune checkpoint inhibitors alone for the treatment of advanced and metastatic non-small cell lung cancer.

Chih-Hsi Scott Kuo, Chin-Chou Wang, Yu-Chen Huang, Stelios Pavlidis, Chien-Ying Liu, How-Wen Ko, Fu-Tsai Chung, Tin-Yu Lin, Chih-Liang Wang, Yi-Ke Guo and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Thoracic cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 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

11 authors at 2 institutions in 2 countries.

Chih-Hsi Scott KuoDepartment of Thoracic Medicine, Division of Lung Cancer and Interventional Bronchoscopy, Chang Gung Memorial Hospital, Taipei, Taiwan.ORCID 0000-0003-3309-937X
Chin-Chou WangDivision of Pulmonary & Critical Care Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Yu-Chen HuangDepartment of Thoracic Medicine, Division of Airway Diseases, Chang Gung Memorial Hospital, Taipei, Taiwan.
Stelios PavlidisDepartment of Computing, Data Science Institute, Imperial College London, London, UK.
Chien-Ying LiuDepartment of Thoracic Medicine, Division of Lung Cancer and Interventional Bronchoscopy, Chang Gung Memorial Hospital, Taipei, Taiwan.
How-Wen KoDepartment of Thoracic Medicine, Division of Lung Cancer and Interventional Bronchoscopy, Chang Gung Memorial Hospital, Taipei, Taiwan.
Fu-Tsai ChungDepartment of Thoracic Medicine, Division of Lung Cancer and Interventional Bronchoscopy, Chang Gung Memorial Hospital, Taipei, Taiwan.
Tin-Yu LinDepartment of Thoracic Medicine, Division of Lung Cancer and Interventional Bronchoscopy, Chang Gung Memorial Hospital, Taipei, Taiwan.
Chih-Liang WangDepartment of Thoracic Medicine, Division of Lung Cancer and Interventional Bronchoscopy, Chang Gung Memorial Hospital, Taipei, Taiwan.
Yi-Ke GuoDepartment of Computing, Data Science Institute, Imperial College London, London, UK.
Cheng-Ta YangDepartment of Thoracic Medicine, Division of Lung Cancer and Interventional Bronchoscopy, Chang Gung Memorial Hospital, Taipei, Taiwan.
Chang Gung Memorial Hospital · TWNIHR Imperial Biomedical Research Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSingle agent immune checkpoint inhibitors (ICIs) improve survival outcomes compared to chemotherapy for advanced non-small cell lung cancer (NSCLC), but treatment efficacy widely varies. The combination of ICIs with chemotherapy has shown promising efficacy over chemotherapy alone; however, whether this strategy is superior to single agent ICIs for the treatment of advanced NSCLC remains unknown.

methodsThe records of 109 patients with advanced NSCLC who were administered at least one cycle of ICIs were retrospectively reviewed. Patients were grouped based on the presence or absence of a chemotherapy treatment combination. Efficacy and survival outcomes were analyzed.

resultSixty-nine (58.0%) patients received single agent ICIs (ICI group) and 50 (42.0%) received ICIs and chemotherapy (ICC group). The median (3.2 vs. 3.0 months; P = 0.025) and one-year (34.5 vs. 9.6%; P = 0.026) progression-free survival (PFS) rates were significantly better in the ICC than in the ICI group. The superior efficacy of ICC remained in the propensity score matched pairs (median PFS 3.2 vs. 2.6 months, P = 0.032; 1-year PFS 35.2 vs. 7.6%; P = 0.035). Eastern Cooperative Oncology Group performance status 0-1 (HR 0.37, 95% CI 0.22-0.62; P < 0.001) and the ICC group (HR 0.56, 95% CI 0.34-0.94; P = 0.028) were predictive of PFS. Subgroup-to-chemotherapy interaction revealed improved risk reduction for adenocarcinoma and EGFR mutation.

conclusionCombing chemotherapy with ICIs improved treatment efficacy over ICIs alone. The additional efficacy of chemotherapy may differ between histological subtypes and EGFR mutation status.

Indexed as

AgedAntineoplastic Agents, ImmunologicalAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCarcinoma, Non-Small-Cell LungFemaleHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedMolecular Targeted TherapyMutationNeoplasm MetastasisNeoplasm StagingPrognosisAntineoplastic Agents, ImmunologicalBiomarkers, TumorChemotherapyimmune checkpoint inhibitorNSCLC

Identifiers

PMID30950239
PMCPMC6501017
OpenAlexW2930985014

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.