Evidence map›Paper›PMID 31587138›Full record

ArticlePharmacoEconomics - open2020

Modelling Survival of Patients Treated with Adjuvant Nivolumab Who Have Melanoma with Lymph Node Involvement or Metastatic Disease After Complete Resection.

Rachael Batteson, Rose Hart, Matthew Hemstock, Kyna Gooden, Srividya Kotapati, Stephane Roze, Dawn Lee, Adenike Amadi

Abstract read
In one paragraph

Article in PharmacoEconomics - open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Rachael BattesonBresMed, Steel City House, West Street, Sheffield, S1 2GQ, UK. rbatteson@bresmed.com.ORCID http://orcid.org/0000-0002-8319-0609
Rose HartBresMed, Steel City House, West Street, Sheffield, S1 2GQ, UK.
Matthew HemstockBresMed, Steel City House, West Street, Sheffield, S1 2GQ, UK.
Kyna GoodenBristol-Myers Squibb, Princeton, NJ, USA.
Srividya KotapatiBristol-Myers Squibb, Princeton, NJ, USA.
Stephane RozeHEVA HEOR, Lyon, France.
Dawn LeeBresMed, Steel City House, West Street, Sheffield, S1 2GQ, UK.
Adenike AmadiBristol-Myers Squibb, Uxbridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNivolumab demonstrated significant recurrence-free survival (RFS) gains versus ipilimumab in the CheckMate-238 trial, whereas the CA184-029 trial showed superior RFS gains for ipilimumab versus placebo. No head-to-head trial data were available to compare the efficacy of nivolumab to that of observation, so indirect treatment comparisons were required. Additionally, overall survival (OS) data were not available from CheckMate-238, and the clinical pathway for melanoma has changed significantly over the last decade. Four modelling options were developed using different methods and evidence sources to estimate OS and the impact of nivolumab on predicted life-years in the adjuvant setting; however, this article focuses on two primary methods.

methodsRFS for nivolumab and observation were informed by a patient-level data meta-regression. The first model was a partitioned survival model, where the parametric OS curve for observation was derived from CA184-029 and nivolumab OS was based on a surrogacy relationship between RFS and OS specific to adjuvant melanoma. The other option used a state-transition model to estimate post-recurrence survival using different data sources.

resultsThe modelling options estimated different OS for both nivolumab and observation but demonstrated at least a 32% increase in life-years gained for nivolumab versus observation.

conclusionThis analysis demonstrated the difficulties in modelling within the adjuvant setting. Each model produced different survival projections, showing the need to explore different techniques to address the extent of uncertainty. This also highlighted the importance of understanding the impact of RFS in the long term in a setting where the aim of treatment is to remain disease free.

Identifiers

PMID31587138
PMCPMC7248152

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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.