Evidence map›Paper›PMID 36547139›Full record

ArticleCurrent oncology (Toronto, Ont.)2022

Cost-Effectiveness Analysis of Sequential Treatment Strategies for Advanced Melanoma in Real Life in France.

Marguerite Kandel, Aurélie Bardet, Stéphane Dalle, Clara Allayous, Laurent Mortier, Bernard Guillot, Caroline Dutriaux, Marie-Thérèse Leccia, Sophie Dalac, Henri Montaudie and 17 more

Open access · goldAbstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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

27 authors at 18 institutions in 1 country.

Marguerite KandelDepartment of Biostatistics and Epidemiology, Gustave Roussy, Paris-Saclay University, 94800 Villejuif, France.
Aurélie BardetDepartment of Biostatistics and Epidemiology, Gustave Roussy, Paris-Saclay University, 94800 Villejuif, France.
Stéphane DalleDermatology, Hospices Civils de Lyon Hospital, Cancer Research Center of Lyon, Claude Bernard University, 69100 Lyon, France.
Clara AllayousDepartment of Dermatology, Université de Paris, DMU ICARE, AP-HP Hôpital Saint Louis, 75010 Paris, France.
Laurent MortierCHRU Lille, INSERM, Lille University, U1189 Lille, France.
Bernard GuillotDermatology, Montpellier Hospital, 34000 Montpellier, France.
Caroline DutriauxDermatology, Bordeaux Saint-André Hospital, 33000 Bordeaux, France.
Marie-Thérèse LecciaDermatology, Grenoble Hospital, 38000 Grenoble, France.
Sophie DalacDermatology, Dijon Hospital, 21000 Dijon, France.
Henri MontaudieDermatology, Nice Hospital, 06000 Nice, France.ORCID 0000-0002-0528-4829
Philippe SaiagDermatology, Assistance Publique des Hôpitaux de Paris, Ambroise Paré Hospital, 92100 Boulogne-Billancourt, France.
Delphine LegoupilDermatology, Brest Hospital, 29200 Brest, France.ORCID 0000-0002-1194-7668
Florence Brunet-PossentiDermatology, Assistance Publique des Hôpitaux de Paris, Bichat Hospital, 75018 Paris, France.
Jean-Philippe ArnaultDermatology, Amiens Hospital, 80000 Amiens, France.
Julie De QuatrebarbesDermatology, Annecy Hospital, 74370 Annecy, France.
Marie Beylot-BarryDermatology, Bordeaux Haut-L'évêque Hospital, 33075 Bordeaux, France.
Eve MaubecDermatology, Assistance Publique des Hôpitaux de Paris, Avicennes Hospital, 75004 Paris, France.ORCID 0000-0003-1658-6686
Thierry LesimpleCLCC Rennes Eugène Marquis, 35000 Rennes, France.
François AubinDermatology, Besançon Hospital, 25000 Besancon, France.ORCID 0000-0002-1421-4996
Jean-Jacques GrobDermatology, La Timone Hospital, 13005 Marseilles, France.
Florence Granel-BrocardDermatology, Nancy Hospital, 54000 Nancy, France.
Pierre-Emmanuel StoebnerDermatology, Nîmes Hospital, 30900 Nimes, France.
Alain DupuyDermatology, Rennes Hospital, 35033 Rennes, France.ORCID 0000-0003-3212-7455
Brigitte DrenoDermatology, Nantes Hospital, 44200 Nantes, France.
Stefan MichielsDepartment of Biostatistics and Epidemiology, Gustave Roussy, Paris-Saclay University, 94800 Villejuif, France.
Céleste LebbeDepartment of Dermatology, Université de Paris, DMU ICARE, AP-HP Hôpital Saint Louis, 75010 Paris, France.
Isabelle BorgetDepartment of Biostatistics and Epidemiology, Gustave Roussy, Paris-Saclay University, 94800 Villejuif, France.ORCID 0000-0002-6295-6361
Inserm · FRAssistance Publique – Hôpitaux de Paris · FRCentre Eugène Marquis · FRCentre Hospitalier Annecy Genevois · FRCentre Hospitalier Régional et Universitaire de Nancy · FRCentre Hospitalier Régional Universitaire de Brest · FRCentre Hospitalier Universitaire Amiens-Picardie · FRCentre Hospitalier Universitaire de Besançon · FRCentre Hospitalier Universitaire de Bordeaux · FRCentre Hospitalier Universitaire de Grenoble · FRCentre Hospitalier Universitaire de Montpellier · FRCentre Hospitalier Universitaire de Nantes · FRCentre Hospitalier Universitaire de Nice · FRCentre Hospitalier Universitaire de Rennes · FRCHU Dijon Bourgogne · FRHôpital Ambroise-Paré · FRHôpital de la Timone · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nine drugs have been marketed for 10 years for the treatment of advanced melanoma (AM). With half of patients reaching a second line, the optimal sequence of treatments remains unclear. To inform policy-makers about their efficiency, we performed a cost-effectiveness analysis of sequential strategies in clinical practice in France, for BRAF-mutated and wild-type patients. A multistate model was developed to describe treatment sequences, associated costs, and health outcomes over 10 years. Sequences, clinical outcomes, utility scores, and economic data were extracted from the prospective Melbase cohort, collecting individual data in 1518 patients since 2013, from their AM diagnosis until their death. To adjust the differences in patients' characteristics among sequences, weighting by inverse probability was used. In the BRAF-mutated population, the MONO-targeted therapies (TT)-anti-PD1 sequence was the less expensive, whereas the anti-PD1-BI-TT sequence had an incremental cost-effectiveness ratio (ICER) of 180,441 EUR/QALY. Regarding the BRAF wild-type population, the three sequences constituted the cost-effective frontier, with ICERs ranging from 116 to 806,000 EUR/QALY. For BRAF-mutated patients, the sequence anti-PD1-BI-TT appeared to be the most efficient one in BRAF-mutated AM patients until 2018. Regarding the BRAF wild-type population until 2018, the sequence starting with IPI+NIVO appeared inefficient compared to anti-PD1, considering the extra cost for the QALY gained.

Indexed as

Cost-Effectiveness AnalysisMelanomaCost-Benefit AnalysisFranceHumansProspective StudiesProto-Oncogene Proteins B-rafProto-Oncogene Proteins B-rafadvanced melanomacost-effectiveness analysisimmunotherapyreal-life clinical practicetargeted therapy

Identifiers

PMID36547139
PMCPMC9777106
OpenAlexW4310142579

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.