Evidence map›Paper›PMID 39347608›Full record

ArticleCancer2024

The American Cancer Society National Lung Cancer Roundtable strategic plan: Methods for improving turnaround time of comprehensive biomarker testing in non-small cell lung cancer.

Sinchita Roy-Chowdhuri, Haresh Mani, Adam H Fox, Anne Tsao, Lynette M Sholl, Farhood Farjah, Bruce E Johnson, Raymond U Osarogiagbon, M Patricia Rivera, Gerard A Silvestri and 2 more

Abstract read
In one paragraph

Article in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. [New WHO Reporting System for Lung Cytopathology].Pathologie (Heidelberg, Germany) · 2025
    Article
  7. Article
  8. Unveiling the Paradoxical Nature of Autophagy in Cancer Cell Fate.Cancer control : journal of the Moffitt Cancer Center
    Review
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

12 authors.

Sinchita Roy-ChowdhuriDivision of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-9447-7701
Haresh ManiDepartment of Pathology, Inova Fairfax Hospital, Falls Church, Virginia, USA.
Adam H FoxDivision of Pulmonary Critical Care, Allergy and Sleep Medicine, Medical University of South Carolina, Charleston, South Carolina, USA.
Anne TsaoDepartment of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Lynette M ShollBrigham and Women's Hospital and Department of Pathology, Harvard Medical School, Boston, Massachusetts, USA.
Farhood FarjahDepartment of Surgery, University of Washington, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-5205-3804
Bruce E JohnsonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.
Raymond U OsarogiagbonMultidisciplinary Thoracic Oncology Program, Baptist Cancer Center, Memphis, Tennessee, USA.
M Patricia RiveraDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, Wilmot Cancer Institute, The University of Rochester Medical Center, Rochester, New York, USA.
Gerard A SilvestriDivision of Pulmonary Critical Care, Allergy and Sleep Medicine, Medical University of South Carolina, Charleston, South Carolina, USA.
Robert A SmithCenter for Early Cancer Detection Science, American Cancer Society, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0003-3344-2238
Ignacio I WistubaDivision of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Funding

The American Cancer Society National Lung Cancer Roundtable
6 · The paper itself

Abstract

Comprehensive biomarker testing for patients with non-small cell lung cancer is critical for selecting appropriate targeted therapy or immunotherapy. Ensuring timely ordering, processing, and reporting is key to optimizing patient outcomes. However, various factors can prevent or delay patients from being offered the option of treatment selection based on comprehensive biomarker testing. These factors include problems with access to testing, tissue adequacy, turnaround time, and health insurance coverage and billing practices. Turnaround time depends on several logistical and tissue handling factors, which involve institutional policies, processes, resources, testing methodology, and testing algorithms that vary across different practices. In this article, the authors identify key factors that prolong biomarker testing turnaround time, propose strategies to reduce it, and present a process map to aid physicians and key organizational stakeholders in improving testing efficiency.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungLung NeoplasmsAmerican Cancer SocietyHumansTime FactorsUnited StatesBiomarkers, Tumorcomprehensive biomarker testingnon–small cell lung cancerprocess mapquality assessmentquality improvementquality metricstesting algorithmstesting efficiencytissue adequacyturnaround time

Identifiers

PMID39347608
PMCPMC11585344

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.