Evidence map›Paper›PMID 34921524›Full record

ArticleCancer medicine2022

Defining comprehensive biomarker-related testing and treatment practices for advanced non-small-cell lung cancer: Results of a survey of U.S. oncologists.

Kathryn F Mileham, Caroline Schenkel, Suanna S Bruinooge, Janet Freeman-Daily, Upal Basu Roy, Amy Moore, Robert A Smith, Elizabeth Garrett-Mayer, Lauren Rosenthal, Edward B Garon and 6 more

Abstract read
In one paragraph

Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Opportunities for use of neuroimaging in de-risking drug development and improving clinical outcomes in psychiatry: an industry perspective.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
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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

16 authors.

Kathryn F MilehamLevine Cancer Institute, Atrium Health, Charlotte, North Carolina, USA.
Caroline SchenkelAmerican Society of Clinical Oncology, Alexandria, Virginia, USA.ORCID 0000-0002-3613-8509
Suanna S BruinoogeAmerican Society of Clinical Oncology, Alexandria, Virginia, USA.
Janet Freeman-DailyThe ROS1ders, Mountain View, California, USA.
Upal Basu RoyLUNGevity Foundation, Chicago, Illinois, USA.
Amy MooreLUNGevity Foundation, Chicago, Illinois, USA.
Robert A SmithAmerican Cancer Society National Lung Cancer Roundtable, Atlanta, Georgia, USA.ORCID 0000-0003-3344-2238
Elizabeth Garrett-MayerAmerican Society of Clinical Oncology, Alexandria, Virginia, USA.ORCID 0000-0003-4709-0333
Lauren RosenthalAmerican Cancer Society National Lung Cancer Roundtable, Atlanta, Georgia, USA.
Edward B GaronUniversity of California Los Angeles David Geffen School of Medicine, Los Angeles, California, USA.
Bruce E JohnsonDana-Farber Cancer Institute, Boston, Massachusetts, USA.
Raymond U OsarogiagbonBaptist Cancer Center, Memphis, Tennessee, USA.
Shadia JalalIndiana University, Indianapolis, Indiana, USA.
Shamsuddin ViraniAurora Health Care, Burlington, Wisconsin, USA.
Mary Weber RedmanFred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Gerard A SilvestriAmerican Cancer Society National Lung Cancer Roundtable, Atlanta, Georgia, USA.

Funding

A model for predicting response to PD-1 inhibitors in NSCLCR01CA208403 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GARON, EDWARD B · 2017 to 2021
$3.2M
NCI NIH HHS R01 CA208403
6 · The paper itself

Abstract

backgroundAn ASCO taskforce comprised of representatives of oncology clinicians, the American Cancer Society National Lung Cancer Roundtable (NLCRT), LUNGevity, the GO

methodsWe deployed a survey to 2374 ASCO members, targeting U.S. thoracic and general oncologists.

resultsWe analyzed 170 eligible responses. For non-squamous NSCLC, 97% of respondents reported ordering tests for EGFR, ALK, ROS1, and BRAF. Testing for MET, RET, and NTRK was reported to be higher among academic versus community providers and higher among thoracic oncologists than generalists. Most respondents considered 1 (46%) or 2 weeks (52%) an acceptable turnaround time, yet 37% usually waited three or more weeks to receive results. Respondents who waited ≥3 weeks were more likely to defer treatment until results were reviewed (63%). Community and generalist respondents who waited ≥3 weeks were more likely to initiate non-targeted treatment while awaiting results. Respondents <5 years out of training were more likely to cite their concerns about waiting for results as a reason for not ordering biomarker testing (42%, vs. 19% with ≥6 years of experience).

conclusionsRespondents reported high biomarker testing rates in patients with NSCLC. Treatment decisions were impacted by test turnaround time and associated with practice setting and physician specialization and experience.

Indexed as

Biomarkers, TumorClinical Decision-MakingOncologistsCarcinoma, Non-Small-Cell LungHumansLung NeoplasmsSurveys and QuestionnairesUnited StatesBiomarkers, Tumorbiomarkerslung neoplasmsoncologistsUnited States

Identifiers

PMID34921524
PMCPMC8729042

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.