Evidence map›Paper›PMID 31312795›Full record

ArticleEuropean journal of breast health2019

Cost effectiveness of Gene Expression Profiling in Patients with Early-Stage Breast Cancer in a Middle-Income Country, Turkey: Results of a Prospective Multicenter Study.

Vahit Özmen, Burcu Çakar, Erhan Gökmen, Mustafa Özdoğan, Nilufer Güler, Cihan Uras, Engin Ok, Orhan Demircan, Abdurrahman Işıkdoğan, Pınar Saip

Abstract read
In one paragraph

Article in European journal of breast health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Systematic Review of the Cost Effectiveness of Breast Cancer Prevention, Screening, and Treatment Interventions.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020
    Pooled it
  3. Institutional and Regional Variations in Access to Clinical Trials and Next-Generation Sequencing in Turkish Oncology Centers.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. European journal of breast health · 2023
    Article
  12. Article
  13. Frontiers in oncology · 2023
    Article
  14. Article
  15. Article
  16. Oncotype DX Breast Recurrence ScoreMolecular diagnosis & therapy · 2020
    Article
  17. 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

10 authors.

Vahit ÖzmenDepartment of General Surgery, İstanbul University School of Medicine, İstanbul, Turkey.ORCID https://orcid.org/0000-0003-2973-8247
Burcu ÇakarDivision of Medical Oncology, Department of Internal Medicine, Ege University School of Medicine, İzmir, Turkey.ORCID https://orcid.org/0000-0003-3790-791X
Erhan GökmenDivision of Medical Oncology, Department of Internal Medicine, Ege University School of Medicine, İzmir, Turkey.
Mustafa ÖzdoğanDivision of Medical Oncology, Memorial Hopital, Antalya, Turkey.
Nilufer GülerDivision of Medical Oncology, Department of Internal Medicine, Hacettepe University Institute of Oncology, Ankara, Turkey.
Cihan UrasDepartment of General Surgery, Acıbadem University, İstanbul, Turkey.
Engin OkDepartment of General Surgery, Erciyes University School of Medicine, Kayseri, Turkey.
Orhan DemircanDepartment of General Surgery, Acıbadem University, İstanbul, Turkey.
Abdurrahman IşıkdoğanDivision of Medical Oncology, Department of Internal Medicine, Dicle University School of Medicine, Diyarbakır, Turkey.
Pınar SaipDivision of Medical Oncology, Department of Internal Medicine, İstanbul University School of Medicine, İstanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBreast cancer is a heterogenous disease, and genetic profiling helps to individualize adjuvant treatment. The Oncotype DX is a validated test to predict benefit of adjuvant systemic treatment. The aims of this study are to determine the costs of chemotherapy in government hospitals in Turkey and evaluate the cost-effectiveness of the Oncotype DX from the national insurance perspective. MATERIALS AND

methodsA Markov model was developed to make long term projections of distant recurrence, survival, quality adjusted life expectancy, and direct costs for patients with ER+, HER2-, node-negative or up to 3 node-positive early stage breast cancer. Turkish decision impact study patient data were captured for model reference. In that study, ten academic centers across Turkey participated in a prospective trial. Of 165 patients with pT1-3, pN0-N1mic, ER-positive, and HER-2 negative tumors, 57% had low recurrence score (RS), 35% had intermediate RS, and 8% had high RS, respectively. The overall rate of change in chemotherapy treatment decisions following Oncotype DX was 33%.

resultsThe cost of adjuvant chemotherapy in public hospitals was estimated at $3.649, and Oncotype Dx test was $5.141. Based on the cost-effectiveness analysis, Oncotype DX testing was estimated to improve life expectancy (+0.86 years) and quality-adjusted life expectancy (+0.68 QALYs) versus standard care. The incremental cost-effectiveness ratio (ICERs) of Oncotype DX was estimated to be $7207.9 per QALY gained and $5720.6 per LY gained versus current clinical practice.

conclusionAs Oncotype DX was found both cost-effective and life-saving from a national perspective, the test should be introduced to standard care in patients with ER+, HER-2 negative early-stage breast cancer in Turkey.

Indexed as

costEarly breast cancergenetic profilingmarkov modeloncotype-Dx

Identifiers

PMID31312795
PMCPMC6619785

What OpenQuestion holds

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Registered trials

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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.