Evidence map›Paper›PMID 28196065›Full record

ArticleBritish journal of cancer2017

Revisiting a longstanding clinical trial exclusion criterion: impact of prior cancer in early-stage lung cancer.

Sandi L Pruitt, Andrew L Laccetti, Lei Xuan, Ethan A Halm, David E Gerber

Abstract read
In one paragraph

Article in British journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Lung Cancer Computational Biology and Resources.Cold Spring Harbor perspectives in medicine · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Lung Cancer Screening With Low Dose Computed Tomography in Patients With and Without Prior History of Cancer in the National Lung Screening Trial.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2021
    Article
  18. Article
  19. Article
  20. 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

5 authors.

Sandi L PruittDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Andrew L LaccettiDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Lei XuanDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Ethan A HalmDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
David E GerberDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Funding

UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Sandi Leigh Pruitt · 2010 to 2026
$53.7M
UT Southwestern Center of Patient-Centered Outcomes Research (PCOR)R24HS022418 · AHRQ · UT SOUTHWESTERN MEDICAL CENTER · PI HALM, ETHAN A · 2013 to 2017
$5.0M
UT Southwestern NCI National Clinical Trials Network Lead Academic Site - U10U10CA180870 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GERBER, DAVID ERIC · 2014 to 2018
$3.4M
Development of New Cancer Treatments and InvestigatorsK24CA201543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GERBER, DAVID ERIC · 2016 to 2020
$737k
Evaluating prior cancer exclusion policy to increase lung cancer trial accrualR03CA191875 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GERBER, DAVID ERIC, PRUITT, SANDI LEIGH · 2015 to 2016
$162k
AHRQ HHS R24 HS022418NCI NIH HHS K24 CA201543NCI NIH HHS P30 CA142543NCI NIH HHS R03 CA191875NCI NIH HHS U10 CA180870
6 · The paper itself

Abstract

backgroundEarly-stage lung cancer represents a key focus of numerous multicenter clinical trials, but common exclusion criteria such as a prior cancer diagnosis may limit enrollment. We examined the prevalence and prognostic impact of a prior cancer diagnosis among patients with early-stage lung cancer.

methodsWe identified patients>65 years of age with early-stage lung cancer diagnosed 1996-2009 in the Surveillance, Epidemiology, and End Results-Medicare linked database. Prior cancers were characterized by type, stage, and timing with respect to the lung cancer diagnosis. All-cause and lung cancer specific-survival rates were compared between patients with and without prior cancer using Cox regression analyses and propensity scores.

resultsAmong 42,910 patients with early-stage lung cancer, one-fifth (21%) had a prior cancer. The most common prior cancers were prostate (21%), breast (18%), gastrointestinal (17%), and other genitourinary (15%). Most prior cancers were localized, and 61% were diagnosed within 5 years of the lung cancer diagnosis. There was no difference in all-cause survival between patients with and without prior cancer (hazard ratio [HR] 1.01; P=0.52). Lung cancer specific survival was improved among patients with prior cancer (HR 0.79; P<0.001).

conclusionsA prior cancer history may exclude a substantial proportion of patients with early-stage lung cancer from enrollment in clinical trials. Without adverse effect on clinical outcomes, inclusion of patients age >65 years with prior cancer in clinical trials should be considered to improve study accrual, completion rates, and generalizability.

Indexed as

Patient SelectionAdenocarcinomaAgedAged, 80 and overCarcinoma, Non-Small-Cell LungCarcinoma, Small CellCarcinoma, Squamous CellClinical Trials as TopicCombined Modality TherapyFemaleFollow-Up StudiesHumansLung NeoplasmsMaleNeoplasm StagingPrognosis

Identifiers

PMID28196065
PMCPMC5355931

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.