Evidence map›Paper›PMID 32328551›Full record

ArticleJNCI cancer spectrum2019

First-Line Systemic Treatments for Stage IV Non-Small Cell Lung Cancer in California: Patterns of Care and Outcomes in a Real-World Setting.

Frances B Maguire, Cyllene R Morris, Arti Parikh-Patel, Rosemary D Cress, Theresa H M Keegan, Chin-Shang Li, Patrick S Lin, Kenneth W Kizer

Open access · goldAbstract read
In one paragraph

Article in JNCI cancer spectrum, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Lung Cancer Stigma Then and Now: Continued Challenges Amid a Landscape of Progress.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2021
    Article
  6. Article
  7. The sparkle of creativity.The Journal of thoracic and cardiovascular surgery · 2020
    Article
  8. Population-Based Outcomes in NSCLC.JNCI cancer spectrum · 2019
    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

8 authors at 3 institutions in 1 country.

Frances B MaguireCalifornia Cancer Reporting and Epidemiologic Surveillance Program, Institute for Population Health Improvement, University of California Davis, Davis, CA.
Cyllene R MorrisCalifornia Cancer Reporting and Epidemiologic Surveillance Program, Institute for Population Health Improvement, University of California Davis, Davis, CA.
Arti Parikh-PatelCalifornia Cancer Reporting and Epidemiologic Surveillance Program, Institute for Population Health Improvement, University of California Davis, Davis, CA.
Rosemary D CressDepartment of Public Health Sciences, University of California Davis, Davis, CA.
Theresa H M KeeganCenter for Oncology Hematology Outcomes Research and Training (COHORT), and Division of Hematology and Oncology, University of California Davis School of Medicine.
Chin-Shang LiSchool of Nursing, State University of New York, University of Buffalo, Buffalo, NY.
Patrick S LinCenter for Oncology Hematology Outcomes Research and Training (COHORT), and Division of Hematology and Oncology, University of California Davis School of Medicine.
Kenneth W KizerCalifornia Cancer Reporting and Epidemiologic Surveillance Program, Institute for Population Health Improvement, University of California Davis, Davis, CA.
University of California, Davis · USUC Davis Health System · USUniversity at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple systemic treatments have been developed for stage IV non-small cell lung cancer (NSCLC), but their use and effect on outcomes at the population level are unknown. This study describes the utilization of first-line systemic treatments among stage IV NSCLC patients in California and compares survival among treatment groups.

methodsData on 17 254 patients diagnosed with stage IV NSCLC from 2012 to 2014 were obtained from the California Cancer Registry. Systemic treatments were classified into six groups. The Kaplan-Meier method and multivariable Cox proportional hazards models were used to compare survival between treatment groups.

resultsFifty-one percent of patients were known to have received systemic treatment. For patients with nonsquamous histology, pemetrexed regimens were the most common treatment (14.8%) followed by tyrosine kinase inhibitors (11.9%) and platinum doublets (11.5%). Few patients received pemetrexed/bevacizumab combinations (4.5%), bevacizumab combinations (3.6%), or single agents (1.7%). There was statistically significantly better overall survival for those on pemetrexed regimens (hazard ratio [HR] = 0.86, 95% confidence interval [CI] = 0.80 to 0.92), bevacizumab regimens (HR = 0.73, 95% CI = 0.65 to 0.81), pemetrexed/bevacizumab regimens (HR = 0.68, 95% CI = 0.61 to 0.76), or tyrosine kinase inhibitors (HR = 0.62, 95% CI = 0.57 to 0.67) compared with platinum doublets. The odds of receiving most systemic treatments decreased with decreasing socioeconomic status. For patients with squamous histology, platinum doublets were predominant (33.7%) and were not found to have statistically significantly different overall survival from single agents.

conclusionsThese population-level findings indicate low utilization of systemic treatments, survival differences between treatment groups, and evident treatment disparities by socioeconomic status.

Identifiers

PMID32328551
PMCPMC7050031
OpenAlexW2940905346

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.