Evidence map›Paper›PMID 39252678›Full record

SynthesisHealth technology assessment (Winchester, England)2024

Lenvatinib plus pembrolizumab for untreated advanced renal cell carcinoma: a systematic review and cost-effectiveness analysis.

Nigel Fleeman, Rachel Houten, Sarah Nevitt, James Mahon, Sophie Beale, Angela Boland, Janette Greenhalgh, Katherine Edwards, Michelle Maden, Devarshi Bhattacharyya and 4 more

Abstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in Health technology assessment (Winchester, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Review
  2. 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

14 authors.

Nigel FleemanLiverpool Reviews and Implementation Group, University of Liverpool, Liverpool, UK.ORCID 0000-0002-4637-9779
Rachel HoutenLiverpool Reviews and Implementation Group, University of Liverpool, Liverpool, UK.ORCID 0000-0002-4315-7732
Sarah NevittLiverpool Reviews and Implementation Group, University of Liverpool, Liverpool, UK.ORCID 0000-0001-9988-2709
James MahonColdingham Analytical Services, Berwickshire, UK.ORCID 0000-0002-2187-1003
Sophie BealeHare Research, North Yorkshire, UK.ORCID 0000-0003-0164-103X
Angela BolandLiverpool Reviews and Implementation Group, University of Liverpool, Liverpool, UK.ORCID 0000-0002-5435-8644
Janette GreenhalghLiverpool Reviews and Implementation Group, University of Liverpool, Liverpool, UK.ORCID 0000-0003-4812-1904
Katherine EdwardsLiverpool Reviews and Implementation Group, University of Liverpool, Liverpool, UK.ORCID 0000-0002-1092-0092
Michelle MadenLiverpool Reviews and Implementation Group, University of Liverpool, Liverpool, UK.ORCID 0000-0003-4419-6343
Devarshi BhattacharyyaLiverpool Reviews and Implementation Group, University of Liverpool, Liverpool, UK.ORCID 0000-0003-1694-8106
Marty ChaplinLiverpool Reviews and Implementation Group, University of Liverpool, Liverpool, UK.ORCID 0000-0002-7097-8704
Joanne McEnteeNorth West Medicines Information Centre, Liverpool, UK.ORCID 0000-0002-7486-4018
Shien ChowThe Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, UK.ORCID 0000-0001-8609-1297
Tom WaddellThe Christie NHS Foundation Trust, Manchester, UK.ORCID 0000-0001-5652-3829

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Renal cell carcinoma is the most common type of kidney cancer, comprising approximately 85% of all renal malignancies. Patients with advanced renal cell carcinoma are the focus of this National Institute for Health and Care Excellence multiple technology appraisal. A patient's risk of disease progression depends on a number of prognostic risk factors; patients are categorised as having intermediate/poor risk or favourable risk of disease progression. Objectives: The objectives of this multiple technology appraisal were to appraise the clinical effectiveness and cost-effectiveness of lenvatinib plus pembrolizumab versus relevant comparators listed in the final scope issued by the National Institute for Health and Care Excellence: sunitinib, pazopanib, tivozanib, cabozantinib and nivolumab plus ipilimumab. Methods: The assessment group carried out clinical and economic systematic reviews and assessed the clinical and cost-effectiveness evidence submitted by Eisai, Hatfield, Hertfordshire, UK (the manufacturer of lenvatinib) and Merck Sharp & Dohme, Whitehouse Station, NJ, USA (the manufacturer of pembrolizumab). The assessment group carried out fixed-effects network meta-analyses using a Bayesian framework to generate evidence for clinical effectiveness. As convergence issues occurred due to sparse data, random-effects network meta-analysis results were unusable. The assessment group did not develop a de novo economic model, but instead modified the partitioned survival model provided by Merck Sharp & Dohme. Results: The assessment group clinical systematic review identified one relevant randomised controlled trial (CLEAR trial). The CLEAR trial is a good-quality, phase III, multicentre, open-label trial that provided evidence for the efficacy and safety of lenvatinib plus pembrolizumab compared with sunitinib. The assessment group progression-free survival network meta-analysis results for all three risk groups should not be used to infer any statistically significant difference (or lack of statistically significant difference) for any of the treatment comparisons owing to within-trial proportional hazards violations or uncertainty regarding the validity of the proportional hazards assumption. The assessment group overall survival network meta-analysis results for the intermediate-/poor-risk subgroup suggested that there was a numerical, but not statistically significant, improvement in the overall survival for patients treated with lenvatinib plus pembrolizumab compared with patients treated with cabozantinib or nivolumab plus ipilimumab. Because of within-trial proportional hazards violations or uncertainty regarding the validity of the proportional hazards assumption, the assessment group overall survival network meta-analysis results for the favourable-risk subgroup and the all-risk population should not be used to infer any statistically significant difference (or lack of statistically significant difference) for any of the treatment comparisons. Only one cost-effectiveness study was included in the assessment group review of cost-effectiveness evidence. The study was limited to the all-risk population, undertaken from the perspective of the US healthcare system and included comparators that are not recommended by the National Institute for Health and Care Excellence for patients with untreated advanced renal cell carcinoma. Therefore, the extent to which resource use and results are generalisable to the NHS is unclear. The assessment group cost-effectiveness results from the modified partitioned survival model focused on the intermediate-/poor-risk and favourable-risk subgroups. The assessment group cost-effectiveness results, generated using list prices for all drugs, showed that, for all comparisons in the favourable-risk subgroup, treatment with lenvatinib plus pembrolizumab costs more and generated fewer benefits than all other treatments available to NHS patients. For the intermediate-/poor-risk subgroup, treatment with lenvatinib plus pembrolizumab costs more and generated more benefits than treatment with cabozantinib and nivolumab plus ipilimumab. Conclusions: Good-quality clinical effectiveness evidence for the comparison of lenvatinib plus pembrolizumab with sunitinib is available from the CLEAR trial. For most of the assessment group Bayesian hazard ratio network meta-analysis comparisons, it is difficult to reach conclusions due to within-trial proportional hazards violations or uncertainty regarding the validity of the proportional hazards assumption. However, the data (clinical effectiveness and cost-effectiveness) used to populate the economic model are relevant to NHS clinical practice and can be used to inform National Institute for Health and Care Excellence decision-making. The assessment group cost-effectiveness results, generated using list prices for all drugs, show that lenvatinib plus pembrolizumab is less cost-effective than all other treatment options. Study registration: This study is registered as PROSPERO CRD4202128587. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Evidence Synthesis Programme (NIHR award ref: NIHR134985) and is published in full in

Indexed as

Antibodies, Monoclonal, HumanizedCarcinoma, Renal CellCost-Benefit AnalysisKidney NeoplasmsPhenylurea CompoundsQuinolinesAntineoplastic Combined Chemotherapy ProtocolsCost-Effectiveness AnalysisHumansQuality-Adjusted Life YearsRandomized Controlled Trials as TopicTechnology Assessment, BiomedicalAntibodies, Monoclonal, HumanizedlenvatinibpembrolizumabPhenylurea CompoundsQuinolinesCOST-EFFECTIVENESS ANALYSISICERINDIRECT TREATMENT COMPARISONLENVATINIBPEMBROLIZUMABQALYRENAL CELL CARCINOMASYSTEMATIC REVIEW

Identifiers

PMID39252678
PMCPMC11404358

What OpenQuestion holds

Textmetadata
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.