ArticleStatistics in medicine2023
Multi-state network meta-analysis of progression and survival data.
Article in Statistics in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Developing a Comprehensive Framework for Cost-Effectiveness Evaluation in Metastatic Castration-Sensitive Prostate Cancer: Insights from a Systematic Review.PharmacoEconomics · 2025Pooled it
- Using Quadratic Programming to Reconstruct Data From Published Survival and Competing Risks Analyses.Statistics in medicine · 2026Article
- Construction and validation of a prognostic model associated with chromatin remodeling in hepatocellular carcinoma.Translational cancer research · 2026Article
- Estimands and their implications for evidence synthesis for oncology: A simulation study of treatment switching in meta-analysis.Research synthesis methods · 2026Article
- Methods of multi-indication meta-analysis for health technology assessment: A simulation study.Research synthesis methods · 2026Article
- Augmented two-stage estimation for treatment switching in oncology trials: Leveraging external data for improved precision.Statistical methods in medical research · 2025Article
- Cost-Effectiveness Analysis of Contemporary Advanced Prostate Cancer Treatment Sequences.Current oncology (Toronto, Ont.) · 2025Article
- survextrap: a package for flexible and transparent survival extrapolation.BMC medical research methodology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Multiple randomized controlled trials, each comparing a subset of competing interventions, can be synthesized by means of a network meta-analysis to estimate relative treatment effects between all interventions in the evidence base. Here we focus on estimating relative treatment effects for time-to-event outcomes. Cancer treatment effectiveness is frequently quantified by analyzing overall survival (OS) and progression-free survival (PFS). We introduce a method for the joint network meta-analysis of PFS and OS that is based on a time-inhomogeneous tri-state (stable, progression, and death) Markov model where time-varying transition rates and relative treatment effects are modeled with parametric survival functions or fractional polynomials. The data needed to run these analyses can be extracted directly from published survival curves. We demonstrate use by applying the methodology to a network of trials for the treatment of non-small-cell lung cancer. The proposed approach allows the joint synthesis of OS and PFS, relaxes the proportional hazards assumption, extends to a network of more than two treatments, and simplifies the parameterization of decision and cost-effectiveness analyses.
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Registered trials
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.