Evidence map›Paper›PMID 34510401›Full record

ArticleDrugs - real world outcomes2022

Treatment Patterns in Patients with Locally Advanced or Metastatic Non-Small-Cell Lung Cancer Treated with Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitors: Analysis of US Insurance Claims Databases.

Ross A Soo, Takashi Seto, Jhanelle E Gray, Ellen Thiel, Aliki Taylor, William Sawyer, Parisa Karimi, Elizabeth Marchlewicz, Matthew Brouillette

Open access · goldAbstract read
In one paragraph

Article in Drugs - real world outcomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. 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

9 authors at 6 institutions in 4 countries.

Ross A SooDepartment of Haematology-Oncology, National University Cancer Institute, National University Health System, 1E Kent Ridge Road, NUHS Tower Block Level 7, Singapore, 119228, Singapore. ross_soo@nuhs.edu.sg.ORCID http://orcid.org/0000-0002-3053-3997
Takashi SetoDepartment of Thoracic Oncology, NHO Kyushu Cancer Center, 3-1-1 Notame, Minami-ku, Fukuoka, 811-1395, Japan.
Jhanelle E GrayDepartment of Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Ellen ThielCustom Data Analytics, IBM Watson Health, Cambridge, MA, USA.
Aliki TaylorOncology Business Unit, AstraZeneca, Cambridge, UK.
William SawyerBiometrics Oncology, AstraZeneca, Cambridge, UK.
Parisa KarimiOncology Business Unit, AstraZeneca, Gaithersburg, MD, USA.
Elizabeth MarchlewiczCustom Data Analytics, IBM Watson Health, Cambridge, MA, USA.
Matthew BrouilletteCustom Data Analytics, IBM Watson Health, Cambridge, MA, USA.
IBM (United States) · USAstraZeneca (United Kingdom) · GBAstraZeneca (United States) · USMoffitt Cancer Center · USNational Hospital Organization Kyushu Cancer Center · JPNational University Cancer Institute, Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost patients with epidermal growth factor receptor mutation-positive (EGFRm) non-small-cell lung cancer (NSCLC) acquire resistance to first-line (1L) first- or second-generation (1G/2G) EGFR-TKIs; therefore, it is important to optimize 1L treatment to improve patient outcomes.

objectiveTo retrospectively examine treatment patterns in locally advanced/metastatic NSCLC using MarketScan PATIENTS AND

methodsAdults with a lung cancer diagnosis code between 1 January 2015-31 March 2018 were analyzed from diagnosis (index) through a variable-length follow-up. Patients had ≥ 1 pharmacy claim for 1G/2G EGFR-TKIs on or within 60 days post-index. Data were stratified by presence or absence of central nervous system (CNS) metastases (30 days pre-index through study end).

results578 patients were included (median age 63 years, 64% female). Median follow-up was 13.5 months. The most frequently prescribed 1L EGFR-TKI was erlotinib (414/578, 72%). Median time to 1L treatment discontinuation was 8.2 (95% confidence interval (CI) 6.9, 9.0) months in patients diagnosed with CNS metastases at any time, and 7.7 (95% CI 6.9, 8.9) months in patients without CNS metastases. 270/578 patients (47%) discontinued 1L EGFR-TKIs; 209/270 (77%) initiated second-line (2L) therapy, most frequently osimertinib (96/209, 46%).

conclusionsIn an analysis of US claims data, nearly half of patients discontinued 1L EGFR-TKIs, and 46% who initiated 2L received osimertinib. As nearly a quarter of patients who discontinued 1L EGFR-TKIs did not receive 2L treatment, this study highlights the need for optimal 1L treatment in EGFRm locally advanced/metastatic NSCLC.

Identifiers

PMID34510401
PMCPMC8844326
OpenAlexW3200778629

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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.