Evidence map›Paper›PMID 29364287›Full record

ReviewNature2018

The biology and management of non-small cell lung cancer.

Roy S Herbst, Daniel Morgensztern, Chris Boshoff

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07126626 (Multi-center Prospective Validation of the SPOT-MAS Lung Test Using Circulating Tumor DNA for the Detection of Lung Cancer), which is not on this map. Cited by 2,950 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2,950citing papers in PubMed, 2 pooled it
283.3field-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.

NCT07126626 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Multi-center Prospective Validation of the SPOT-MAS Lung Test Using Circulating Tumor DNA for the Detection of Lung Cancer

TypeobservationalSponsorGene SolutionsRan2025 to 2027Enrolled1,184ConditionsLung Diseases, Lung Cancer Screening
3 · Its place in the literature

Who cites it

2,950 citing papers in PubMed, 2 syntheses or guidelines pooled it, 4,829 citations in OpenAlex.

  1. Association between the systemic inflammation response index and prognosis in lung cancer: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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2,890 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Roy S HerbstYale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.
Daniel MorgenszternWashington University School of Medicine, St Louis, Missouri, USA.
Chris BoshoffYale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.
Yale Cancer Center · USWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Important advancements in the treatment of non-small cell lung cancer (NSCLC) have been achieved over the past two decades, increasing our understanding of the disease biology and mechanisms of tumour progression, and advancing early detection and multimodal care. The use of small molecule tyrosine kinase inhibitors and immunotherapy has led to unprecedented survival benefits in selected patients. However, the overall cure and survival rates for NSCLC remain low, particularly in metastatic disease. Therefore, continued research into new drugs and combination therapies is required to expand the clinical benefit to a broader patient population and to improve outcomes in NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungClinical Trials as TopicHumansImmunotherapyLung NeoplasmsMolecular Targeted TherapyPrecision MedicineSurvival RateTumor Microenvironment

Identifiers

PMID29364287
OpenAlexW2784371446

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.