Evidence map›Paper›PMID 29270615›Full record

SynthesisJAMA oncology2018

Clinical and Molecular Characteristics Associated With Survival Among Patients Treated With Checkpoint Inhibitors for Advanced Non-Small Cell Lung Carcinoma: A Systematic Review and Meta-analysis.

Chee Khoon Lee, Johnathan Man, Sally Lord, Wendy Cooper, Matthew Links, Val Gebski, Roy S Herbst, Richard J Gralla, Tony Mok, James Chih-Hsin Yang

Registry-linked trialOpen access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JAMA oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04137718 (Multicenter Observational Study for Clinicopathological Characteristics and Clinical Efficacy of Chinese Non-Small Cell Lung Cancer), which is not on this map. Cited by 377 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
377citing papers in PubMed, 11 pooled it
21.1field-weighted citation impact, top 1% 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.

NCT04137718 unknown statusnot on this mapstarted 2019, after this paper: background citation

Multicenter Observational Study for Clinicopathological Characteristics and Clinical Efficacy of Chinese Non-Small Cell Lung Cancer (NSCLC) Patients With Rare Driver Gene Mutation

TypeobservationalSponsorShanghai Pulmonary Hospital, Shanghai, ChinaRan2019 to 2024Enrolled50,000ConditionsChinese, Non-Small Cell Lung CancerArmsnonIntervention
3 · Its place in the literature

Who cites it

377 citing papers in PubMed, 11 syntheses or guidelines pooled it, 624 citations in OpenAlex.

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  12. Phase III KEYNOTE-789 Study of Pemetrexed and Platinum With or Without Pembrolizumab for Tyrosine Kinase Inhibitor‒Resistant,Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
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317 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 7 institutions in 4 countries.

Chee Khoon LeeNational Health and Medical Research Council Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia.
Johnathan ManCancer Care Centre, St George Hospital, Sydney, New South Wales, Australia.
Sally LordNational Health and Medical Research Council Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia.
Wendy CooperDepartment of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Matthew LinksCancer Care Centre, St George Hospital, Sydney, New South Wales, Australia.
Val GebskiNational Health and Medical Research Council Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia.
Roy S HerbstYale Cancer Center, Yale School of Medicine, New Haven, Connecticut.
Richard J GrallaDepartment of Medicine (Oncology), Albert Einstein College of Medicine, New York, New York.
Tony MokHong Kong Cancer Institute, Department of Clinical Oncology, Chinese University of Hong Kong, Shatin, China.
James Chih-Hsin YangGraduate Institute of Oncology, National Taiwan University, Taipei City, Taiwan.
University of Sydney · AUSt George Hospital · AUAlbert Einstein College of Medicine · USChinese University of Hong Kong · CNNational Health and Medical Research Council · AUNational Taiwan University Hospital · TWSmilow Cancer Hospital · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

importanceCheckpoint inhibitors have replaced docetaxel as the new standard second-line therapy in advanced non-small cell lung carcinoma (NSCLC), but little is known about the potential predictive value of clinical and molecular characteristics.

objectiveTo estimate the relative efficacy of checkpoint inhibitor vs docetaxel overall and in subgroups defined by clinicopathological characteristics. DATA SOURCES: This systematic review and meta-analysis searched MEDLINE, Embase, PubMed, and the Cochrane Central Register of Controlled Trials for randomized clinical trials published in the English language between January 1, 1996, and January 30, 2017. STUDY SELECTION: Randomized clinical trials that compared a checkpoint inhibitor (nivolumab, pembrolizumab, or atezolizumab) with docetaxel. For each trial included in this study, the trial name, year of publication or conference presentation, patients' clinicopathological characteristics, type of chemotherapy, and type of checkpoint inhibitor were extracted. Data collection for this study took place from February 1 to March 31, 2017. DATA EXTRACTION AND SYNTHESIS: Two reviewers performed study selection, data abstraction, and risk of bias assessment. Hazard ratios (HR) and 95% CIs for the overall population and subgroups were extracted. Pooled treatment estimates were calculated using the inverse-variance-weighted method.

resultsIn total, 5 trials involving 3025 patients with advanced NSCLC were included in this meta-analysis. These patients were randomized to receive a checkpoint inhibitor (nivolumab, 427 [14.1%]; pembrolizumab, 691 [22.8%]; or atezolizumab, 569 [18.8%]) or docetaxel (1338 [44.2%]). Checkpoint inhibitors were associated with prolonged overall survival, compared with docetaxel (HR, 0.69; 95% CI, 0.63-0.75; P < .001). They prolonged overall survival in the EGFR wild-type subgroup (HR, 0.67; 95% CI, 0.60-0.75; P < .001), but not in the EGFR mutant subgroup (HR, 1.11; 95% CI, 0.80-1.53; P = .54; interaction, P = .005), and they prolonged overall survival in the KRAS mutant subgroup (HR, 0.65; 95% CI, 0.44-0.97; P = .03) but not in the KRAS wild-type subgroup (HR, 0.86; 95% CI, 0.67-1.11; P = .24; interaction, P = .24). The relative treatment benefits were similar according to smoking status (never smokers [HR, 0.79] vs ever smokers [HR, 0.69]; interaction, P = .40), performance status (0 [HR, 0.69] vs 1 [HR, 0.68]; interaction, P = .85), age (<65 years [HR, 0.71] vs ≥65 years [HR, 0.69]; interaction, P = .74), histology (squamous [HR, 0.67] vs nonsquamous [HR, 0.70]; interaction, P = .71), or sex (male [HR, 0.69] vs female [HR, 0.70]; interaction, P = .82). CONCLUSION AND RELEVANCE: Checkpoint inhibitors, compared with docetaxel, are associated with significantly prolong overall survival in second-line therapy in NSCLC. The finding of no overall survival benefit for patients with EGFR mutant tumors suggests that checkpoint inhibitors should be considered only after other effective therapies have been exhausted. The findings of this meta-analysis could also assist in the design and interpretation of future trials and in economic analyses.

Indexed as

Cell Cycle CheckpointsAdultAgedAged, 80 and overAntineoplastic Agents, ImmunologicalCarcinoma, Non-Small-Cell LungDisease ProgressionFemaleHumansLung NeoplasmsMaleMiddle AgedProtein Kinase InhibitorsRandomized Controlled Trials as TopicSurvival AnalysisAntineoplastic Agents, ImmunologicalProtein Kinase Inhibitors

Identifiers

PMID29270615
PMCPMC5838598
OpenAlexW2777461561

What OpenQuestion holds

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Registered trials

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.