Evidence map›Paper›PMID 32810185›Full record

ArticlePloS one2020

EGFR testing and erlotinib use in non-small cell lung cancer patients in Kentucky.

Kara L Larson, Bin Huang, Quan Chen, Thomas Tucker, Marissa Schuh, Susanne M Arnold, Jill M Kolesar

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. 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
1.1field-weighted citation impact, top 18% 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, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Testing forOncoTargets and therapy · 2021
    Review
  8. 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

7 authors at 1 institution in 1 country.

Kara L LarsonMarkey Cancer Center, University of Kentucky, Lexington, Kentucky, United States of America.ORCID 0000-0002-4678-634X
Bin HuangMarkey Cancer Center, University of Kentucky, Lexington, Kentucky, United States of America.
Quan ChenMarkey Cancer Center, University of Kentucky, Lexington, Kentucky, United States of America.
Thomas TuckerMarkey Cancer Center, University of Kentucky, Lexington, Kentucky, United States of America.
Marissa SchuhMarkey Cancer Center, University of Kentucky, Lexington, Kentucky, United States of America.ORCID 0000-0003-3654-6219
Susanne M ArnoldMarkey Cancer Center, University of Kentucky, Lexington, Kentucky, United States of America.
Jill M KolesarMarkey Cancer Center, University of Kentucky, Lexington, Kentucky, United States of America.
University of Kentucky · US

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Bernard Mark Evers · 2013 to 2026
$38.3M
NCI NIH HHS P30 CA177558
6 · The paper itself

Abstract

This study determined the frequency and factors associated with EGFR testing rates and erlotinib treatment as well as associated survival outcomes in patients with non small cell lung cancer in Kentucky. Data from the Kentucky Cancer Registry (KCR) linked with health claims from Medicaid, Medicare and private insurance groups were evaluated. EGFR testing and erlotinib prescribing were identified using ICD-9 procedure codes and national drug codes in claims, respectively. Logistic regression analysis was performed to determine factors associated with EGFR testing and erlotinib prescribing. Cox-regression analysis was performed to determine factors associated with survival. EGFR mutation testing rates rose from 0.1% to 10.6% over the evaluated period while erlotinib use ranged from 3.4% to 5.4%. Factors associated with no EGFR testing were older age, male gender, enrollment in Medicaid or Medicare, smoking, and geographic region. Factors associated with not receiving erlotinib included older age, male gender, enrollment in Medicare or Medicaid, and living in moderate to high poverty. Survival analysis demonstrated EGFR testing or erlotinib use was associated with a higher likelihood of survival. EGFR testing and erlotinib prescribing were slow to be implemented in our predominantly rural state. While population-level factors likely contributed, patient factors, including geographic location (areas with high poverty rates and rural regions) and insurance type, were associated with lack of use, highlighting rural disparities in the implementation of cancer precision medicine.

Indexed as

Administrative Claims, HealthcareAdultAgedAge FactorsCarcinoma, Non-Small-Cell LungDNA Mutational AnalysisDrug PrescriptionsDrug UtilizationErbB ReceptorsErlotinib HydrochlorideFemaleGenetic TestingHealthcare DisparitiesHumansKentuckyLung NeoplasmsEGFR protein, humanErbB ReceptorsErlotinib Hydrochloride

Identifiers

PMID32810185
PMCPMC7433873
OpenAlexW3053849780

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.