Evidence map›Paper›PMID 29448944›Full record

ArticleBMC medicine2018

Second-line treatment for advanced NSCLC without actionable mutations: is immunotherapy the 'panacea' for all patients?

Alessandro Morabito

Open access · goldAbstract readComment
In one paragraph

Article in BMC medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
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  3. IMpower210: A phase III study of second-line atezolizumabChinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2024
    Article
  4. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Alessandro MorabitoThe Medical Oncology Unit, Thoracic-Pulmonary Department, Istituto Nazionale Tumori, "Fondazione G. Pascale" - IRCCS, Via Mariano Semola, 80131, Naples, Italy. a.morabito@istitutotumori.na.it.
Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The therapeutic approach for the second-line treatment of patients with advanced non-small cell lung cancer (NSCLC) without actionable mutations has been revolutionized by the recent approval of new effective drugs with various mechanisms of action, including nintedanib, ramucirumab, nivolumab, pembrolizumab, atezolizumab, and afatinib. The recent network meta-analysis of Créquit et al. (BMC Medicine, 15:193, 2017) compared the effectiveness and tolerability of the second-line treatments for advanced NSCLC with wild-type or unknown status for EGFR. The authors found that immunotherapy might be more efficacious than the currently recommended treatments. However, their meta-analysis does not take into account the role of predictive biomarkers - this is indeed a crucial point in the decision-making process considering that only a fraction of advanced NSCLC patients might derive a long-term benefit from second-line immunotherapy. The identification of molecular biomarkers that can predict a response to immune checkpoints, angiogenesis, and EGFR inhibitors remains an important goal of clinical research in order to maximize the benefit of these agents and to aid clinicians in the decision-making process.Please see related article: https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-017-0954-x.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsHumansImmunotherapyMutationNetwork Meta-Analysis as TopicAfatinibAtezolizumabDocetaxelErlotinibNintedanibNivolumabNSCLCPembrolizumabPemetrexedRamucirumabSecond-line therapy

Identifiers

PMID29448944
PMCPMC5815183
OpenAlexW2795146418

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.