Evidence map›Paper›PMID 35540711›Full record

ArticleJTO clinical and research reports2022

Revisiting Indications for Brain Imaging During the Clinical Staging Evaluation of Lung Cancer.

Matthew D Pichert, Maureen E Canavan, Richard C Maduka, Andrew X Li, Theresa Ermer, Peter L Zhan, Michael Kaminski, Brooks V Udelsman, Justin D Blasberg, Vincent J Mase and 2 more

Open access · goldAbstract read
In one paragraph

Article in JTO clinical and research reports, 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 26% 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. Observational
  2. Article
  3. Review
  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

12 authors at 2 institutions in 2 countries.

Matthew D PichertDivision of Thoracic Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut.
Maureen E CanavanDivision of Thoracic Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut.
Richard C MadukaDivision of Thoracic Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut.
Andrew X LiDivision of Thoracic Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut.
Theresa ErmerDivision of Thoracic Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut.
Peter L ZhanDivision of Thoracic Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut.
Michael KaminskiDivision of Thoracic Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut.
Brooks V UdelsmanDivision of Thoracic Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut.
Justin D BlasbergDivision of Thoracic Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut.
Vincent J MaseDivision of Thoracic Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut.
Andrew P DhanasoponDivision of Thoracic Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut.
Daniel J BoffaDivision of Thoracic Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut.
Yale University · USUniversity of London · GB

Funding

Yale Cancer Center Advanced Training Program for Physician-Scientists (YCC-ATPP)T32CA233414 · NCI · YALE UNIVERSITY · PI Eric P. Winer · 2019 to 2026
$3.2M
Short Term Research Training: Students in Health Professional SchoolsT35DK104689 · NIDDK · YALE UNIVERSITY · PI LLOYD G CANTLEY, Sarwat I Chaudhry · 2015 to 2026
$2.6M
NCI NIH HHS T32 CA233414NIDDK NIH HHS T35 DK104689
6 · The paper itself

Abstract

Introduction: Available guidelines are inconsistent as to whether patients with newly diagnosed clinical stage II NSCLC should receive routine brain imaging. Methods: The National Cancer Database was queried for the prevalence of isolated brain metastases among patients with newly diagnosed NSCLC in 2016 and 2017. Patients with metastases in locations other than the brain were excluded. The prevalences were then stratified by clinical T and N classifications and further stratified into a summary stage, which was calculated based on T and N classifications. The summary stage represents the clinical stage that would have been available at the time of decision for brain imaging. Results: A total of 6,949 of 149,958 patients (4.6%) with clinical stages I, II, III, or brain-limited stage IV NSCLC had dissemination limited to the brain. As T and N stages increased, prevalence of brain metastases generally increased. Among patients with node-negative (N0) NSCLC, the prevalence of brain-only metastases increased from 1.2% in patients with T1a to 3.8% among patients with T4 ( Conclusions: Considering the similarity in prevalence of isolated brain metastases and the potential hazards associated with brain imaging in early stage NSCLC, practitioners may consider a more liberal use of brain imaging when interpreting conflicting guidelines.

Indexed as

Brain imagingBrain MRIIndicationsNon–small cell lung cancer

Identifiers

PMID35540711
PMCPMC9079298
OpenAlexW4226120748

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.