Evidence map›Paper›PMID 35365302›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2022

Cost-Effectiveness of Tumor Genomic Profiling to Guide First-Line Targeted Therapy Selection in Patients With Metastatic Lung Adenocarcinoma.

Olivia M Dong, Pradeep J Poonnen, David Winski, Shelby D Reed, Vishal Vashistha, Jill Bates, Michael J Kelley, Deepak Voora

Open access · greenAbstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2022. 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
1.3field-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. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  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

8 authors at 6 institutions in 1 country.

Olivia M DongDuke Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA; Department of Veterans Affairs, Durham VA Medical Center, Durham, NC, USA.
Pradeep J PoonnenDepartment of Veterans Affairs, Durham VA Medical Center, Durham, NC, USA; Duke University Medical Center, Durham, NC, USA.
David WinskiDepartment of Veterans Affairs, VA Boston Healthcare System, Boston, MA, USA.
Shelby D ReedDepartment of Veterans Affairs, Durham VA Medical Center, Durham, NC, USA; Duke Cancer Institute, Durham, NC, USA; Duke Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Vishal VashisthaSection of Hematology/Oncology, Raymond G. Murphy New Mexico Veterans Affairs Medical Center, Albuquerque, NM, USA.
Jill BatesDepartment of Veterans Affairs, Durham VA Medical Center, Durham, NC, USA; Division of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Veterans Affairs, National Oncology Program, Durham, NC, USA.
Michael J KelleyDepartment of Veterans Affairs, Durham VA Medical Center, Durham, NC, USA; Duke University Medical Center, Durham, NC, USA; Duke Cancer Institute, Durham, NC, USA; Department of Veterans Affairs, National Oncology Program, Durham, NC, USA.
Deepak VooraDuke Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA; Department of Veterans Affairs, Durham VA Medical Center, Durham, NC, USA; Department of Veterans Affairs, National Oncology Program, Durham, NC, USA. Electronic address: deepak.voora@duke.edu.
Duke Medical Center · USDuke University · USDuke Cancer InstituteDurham VA Medical Center · USRaymond G. Murphy VA Medical Center · USVA Boston Healthcare System · US

Funding

Preparing Genetic Counselors for Genomic Medicine ResearchT32HG008955 · NHGRI · DUKE UNIVERSITY · PI COONEY, KATHLEEN A, HAGA, SUSANNE · 2017 to 2021
$2.0M
NHGRI NIH HHS T32 HG008955
6 · The paper itself

Abstract

objectivesA cost-effectiveness analysis comparing comprehensive genomic profiling (CGP) of 10 oncogenes, targeted gene panel testing (TGPT) of 4 oncogenes, and no tumor profiling over the lifetime for patients with metastatic lung adenocarcinoma from the Centers for Medicare and Medicaid Services' perspective was conducted.

methodsA decision analytic model used 10 000 hypothetical Medicare beneficiaries with metastatic lung adenocarcinoma to simulate outcomes associated with CGP (ALK, BRAF, EGFR, ERBB2, MET, NTRK1, NTRK2, NTRK3, RET, ROS1), TGPT (ALK, BRAF, EGFR, ROS1), and no tumor profiling (no genes tested). First-line targeted cancer-directed therapies were assigned if actionable gene variants were detected; otherwise, nontargeted cancer-directed therapies were assigned. Model inputs were derived from randomized trials (progression-free survival, adverse events), the Veterans Health Administration and Medicare (drug costs), published studies (nondrug cancer-related management costs, health state utilities), and published databases (actionable variant prevalences). Costs (2019 US$) and quality-adjusted life-years (QALYs) were discounted at 3% per year. Probabilistic sensitivity analyses used 1000 Monte Carlo simulations.

resultsNo tumor profiling was the least costly/person ($122 613 vs $184 063 for TGPT and $188 425 for CGP) and yielded the least QALYs/person (0.53 vs 0.73 for TGPT and 0.74 for CGP). The costs per QALY gained and corresponding 95% confidence interval were $310 735 ($278 323-$347 952) for TGPT vs no tumor profiling and $445 545 ($322 297-$572 084) for CGP vs TGPT. All probabilistic sensitivity analysis simulations for both comparisons surpassed the willingness-to-pay threshold ($150 000 per QALY gained).

conclusionCompared with no tumor profiling in patients with metastatic lung adenocarcinoma, tumor profiling (TGPT, CGP) improves quality-adjusted survival but is not cost-effective.

Indexed as

Adenocarcinoma of LungLung NeoplasmsAgedCost-Benefit AnalysisGenomicsHumansMedicareProtein-Tyrosine KinasesProto-Oncogene ProteinsUnited StatesProtein-Tyrosine KinasesProto-Oncogene Proteinscomprehensive genomic profilingcost-effectiveness analysisnon-small cell lung canceroncogenesprecision oncologytargeted gene panel testing

Identifiers

PMID35365302
PMCPMC8976872
OpenAlexW3211193674

What OpenQuestion holds

Textmetadata
LicenceTDM
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.