Evidence map›Paper›PMID 31777268›Full record

ArticleCNS oncology2019

Radiographic appearance of leptomeningeal disease in patients with EGFR-mutated non-small-cell lung carcinoma treated with tyrosine kinase inhibitors: a case series.

Ugur Sener, Nassim Matin, Helena Yu, Andrew Lin, T Jonathan Yang, Rachna Malani

Abstract readCase Reports
In one paragraph

Article in CNS oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Focal Leptomeningeal Disease with Perivascular Invasion inAJNR. American journal of neuroradiology · 2020
    Article
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

6 authors.

Ugur SenerDepartment of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA.
Nassim MatinDepartment of Neurology, SUNY Downstate Medical Center, Brooklyn, NY 11203, USA.
Helena YuDepartment of Thoracic Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA.
Andrew LinDepartment of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA.
T Jonathan YangDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA.
Rachna MalaniDepartment of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

EGFR is frequently mutated in non-small-cell lung carcinomas (NSCLCs). Clinically available tyrosine kinase inhibitors (TKIs) are effective in treating EGFR-mutant NSCLC. In this case series, we present five patients with TKI-treated EGFR-mutated NSCLC who developed leptomeningeal disease (LMD) lacking characteristic imaging findings. All five patients received TKIs prior to development of cytology-confirmed LMD. Clinical signs of LMD preceded radiographic evidence by 2-12 months. T790M, the most common resistance mutation to first-generation EGFR inhibitors, was identified in four cases. These cases illustrate that in patients with EGFR-mutant NSCLC, TKIs may effectively control LMD, creating a lag between onset of symptoms and observation of radiographic findings.

Indexed as

AgedCarcinoma, Non-Small-Cell LungDisease ProgressionErbB ReceptorsFemaleHumansLung NeoplasmsMaleMeningeal NeoplasmsMiddle AgedMutationProtein Kinase InhibitorsEGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsEGFRleptomeningeal diseaseNSCLCtargeted therapytumor imagingtyrosine kinase inhibitors

Identifiers

PMID31777268
PMCPMC6912846

What OpenQuestion holds

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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.