Evidence map›Paper›PMID 26086912›Full record

ArticlePloS one2015

Economic Impact of Gene Expression Profiling in Patients with Early-Stage Breast Cancer in France.

Gregory Katz, Olivier Romano, Cyril Foa, Anne-Lise Vataire, Jean-Victor Chantelard, Robert Hervé, Hugues Barletta, Axel Durieux, Jean-Pierre Martin, Rémy Salmon

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 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

11 citing papers in PubMed, 3 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. Cost-Effectiveness Analyses of the 21-Gene Assay in Breast Cancer: Systematic Review and Critical Appraisal.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
    Pooled it
  4. Article
  5. Article
  6. Review
  7. Genomic Signatures in Luminal Breast Cancer.Breast care (Basel, Switzerland) · 2020
    Review
  8. Article
  9. Article
  10. Spotlight on the utility of the Oncotype DXInternational journal of women's health · 2018
    Review
  11. 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.

Gregory KatzESSEC Business School, Chair of Therapeutic Innovation, Paris, France and Singapore; Fondation Générale de Santé, Paris, France.
Olivier RomanoGénérale de Santé, Hôpital Privé la Louvière, Lille, France; Générale de Santé, Hôpital Privé Villeneuve-d'Ascq, Villeneuve-d'Ascq, France.
Cyril FoaGénérale de Santé, Hôpital Privé Clairval, Marseille, France.
Anne-Lise VataireCreativ-Ceutical, Paris, France; Université Lyon Claude Bernard, Lyon, France.
Jean-Victor ChantelardGénérale de Santé, Hôpital Privé Paul d'Egine, Champigny-sur-Marne, France.
Robert HervéGénérale de Santé, Hôpital Privé Clairval, Marseille, France.
Hugues BarlettaGénérale de Santé, Hôpital Privé Drôme-Ardèche, Guilherand-Granges, France.
Axel DurieuxGénérale de Santé, Hôpital Privé des Peupliers, Paris, France.
Jean-Pierre MartinGénérale de Santé, Hôpital Privé Jean Mermoz, Lyon, France.
Rémy SalmonGénérale de Santé, Hôpital Privé des Peupliers, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe heterogeneous nature of breast cancer can make decisions on adjuvant chemotherapy following surgical resection challenging. Oncotype DX is a validated gene expression profiling test that predicts the likelihood of adjuvant chemotherapy benefit in early-stage breast cancer. The aim of this study is to determine the costs of chemotherapy in private hospitals in France, and evaluate the cost-effectiveness of Oncotype DX from national insurance and societal perspectives.

methodsA multicenter study was conducted in seven French private hospitals, capturing retrospective data from 106 patient files. Cost estimates were used in conjunction with a published Markov model to assess the cost-effectiveness of using Oncotype DX to inform chemotherapy decision making versus standard care. Sensitivity analyses were performed.

resultsThe cost of adjuvant chemotherapy in private hospitals was estimated at EUR 8,218 per patient from a national insurance perspective and EUR 10,305 from a societal perspective. Cost-effectiveness analysis indicated that introducing Oncotype DX improved life expectancy (+0.18 years) and quality-adjusted life expectancy (+0.17 QALYs) versus standard care. Oncotype DX was found cost-effective from a national insurance perspective (EUR 2,134 per QALY gained) and cost saving from a societal perspective versus standard care. Inclusion of lost productivity costs in the modeling analysis meant that costs for eligible patients undergoing Oncotype DX testing were on average EUR 602 lower than costs for those receiving standard care.

conclusionsAs Oncotype DX was found both cost and life-saving from a societal perspective, the test was considered to be dominant to standard care. However, the delay in coverage has the potential to erode the quality of the French healthcare system, thus depriving patients of technologies that could improve clinical outcomes and allow healthcare professionals to better allocate hospital resources to improve the standard of care for all patients.

Indexed as

Adjuvants, PharmaceuticAntineoplastic AgentsBreast NeoplasmsCost-Benefit AnalysisFemaleFranceGene Expression ProfilingHumansMarkov ChainsMiddle AgedNational Health ProgramsRetrospective StudiesAdjuvants, PharmaceuticAntineoplastic Agents

Identifiers

PMID26086912
PMCPMC4472722

What OpenQuestion holds

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LicenceCC BY
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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.