Evidence map›Paper›PMID 32725549›Full record

ReviewCurrent treatment options in oncology2020

Leptomeningeal Metastases in Non-small Cell Lung Cancer: Optimal Systemic Management in NSCLC With and Without Driver Mutations.

Mariam Alexander, Emily Lin, Haiying Cheng

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current treatment options in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 37 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

3 authors at 2 institutions in 1 country.

Mariam AlexanderDepartment of Oncology, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Emily LinDepartment of Oncology, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Haiying ChengDepartment of Oncology, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, 10461, USA. hcheng@montefiore.org.
Albert Einstein College of Medicine · USMontefiore Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

opinion statementAs a devastating complication of non-small cell lung cancer (NSCLC), the incidence of leptomeningeal metastasis (LM) is rising, largely due to overall longer survival of NSCLC, especially in patients with targetable molecular driver mutations. There is no clear consensus on the optimal management of LM. This review will cover recent advances in diagnosis, monitoring, and treatment of LM in NSCLC. In LM without oncogene drivers, systemic chemotherapy, intrathecal therapy, and radiation have modestly improved the clinical outcomes. Emerging data have also suggested encouraging activity of immunotherapy. At the same time, in LM with sensitizing EGFR mutations, osimertinib should be considered regardless of T790M status. Pulse erlotinib, afatinib, and newer agents with improved CNS penetration have also shown benefits. Moreover, accumulating evidences support potential benefits of molecularly targeted therapy in ALK-rearranged and other oncogene-driven NSCLC with LM. Future studies are warranted to better define the underlying mechanism, to optimize the clinical management, and to improve patient outcomes.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungClinical Decision-MakingCombined Modality TherapyDisease ManagementDisease SusceptibilityHumansLung NeoplasmsMeningeal NeoplasmsMutationPrognosisTreatment OutcomeBiomarkers, TumorEGFR mutationsLeptomeningealLung cancerTargeted therapies

Identifiers

PMID32725549
OpenAlexW3045645197

What OpenQuestion holds

Textmetadata
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.