Evidence map›Paper›PMID 27005519›Full record

ReviewMedical decision making : an international journal of the Society for Medical Decision Making2017

Extrapolating Survival from Randomized Trials Using External Data: A Review of Methods.

Christopher Jackson, John Stevens, Shijie Ren, Nick Latimer, Laura Bojke, Andrea Manca, Linda Sharples

Abstract readReview
In one paragraph

Review in Medical decision making : an international journal of the Society for Medical Decision Making, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. A Systematic Review of Methods to Incorporate External Evidence into Trial-Based Survival Extrapolations for Health Technology Assessment.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
    Pooled it
  3. Pooled it
  4. General-Purpose Methods for Simulating Survival Data for Expected Value of Sample Information Calculations.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
    Trial
  5. Trial
  6. Trial
  7. Article
  8. Review
  9. Article
  10. Article
  11. Impact of Limited Sample Size and Follow-up on Partitioned Survival and Multistate Modeling-Based Health Economic Models: A Simulation Study.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  12. Data Resource Profile: The Lithuanian health data reuse pathway.International journal of epidemiology · 2025
    Article
  13. Article
  14. A lifetime economic model of mortality and secondary care use for patients discharged from hospital following acute stroke.International journal of stroke : official journal of the International Stroke Society · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Dynamic changes and lifetime effect of functional disability profiles for stroke patients: real-world evidence from South Korea.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  19. Article
  20. SurvInt: a simple tool to obtain precise parametric survival extrapolations.BMC medical informatics and decision making · 2024
    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

7 authors.

Christopher JacksonMRC Biostatistics Unit, Cambridge, United Kingdom of Great Britain and Northern Ireland (CJ).
John StevensUniversity of Sheffield School of Health and Related Research (ScHARR), Sheffield, United Kingdom of Great Britain and Northern Ireland (JS, SR, NL).
Shijie RenUniversity of Sheffield School of Health and Related Research (ScHARR), Sheffield, United Kingdom of Great Britain and Northern Ireland (JS, SR, NL).
Nick LatimerUniversity of Sheffield School of Health and Related Research (ScHARR), Sheffield, United Kingdom of Great Britain and Northern Ireland (JS, SR, NL).
Laura BojkeUniversity of York, Heslington, United Kingdom of Great Britain and Northern Ireland (LB, AM).
Andrea MancaUniversity of York, Heslington, United Kingdom of Great Britain and Northern Ireland (LB, AM).
Linda SharplesUniversity of Leeds, Leeds, United Kingdom of Great Britain and Northern Ireland (LS).

Funding

Department of Health CDF-2009-02-21Medical Research Council G0902159Medical Research Council MC_U105232027Medical Research Council MC_U105260556Medical Research Council MC_UU_00002/11
6 · The paper itself

Abstract

This article describes methods used to estimate parameters governing long-term survival, or times to other events, for health economic models. Specifically, the focus is on methods that combine shorter-term individual-level survival data from randomized trials with longer-term external data, thus using the longer-term data to aid extrapolation of the short-term data. This requires assumptions about how trends in survival for each treatment arm will continue after the follow-up period of the trial. Furthermore, using external data requires assumptions about how survival differs between the populations represented by the trial and external data. Study reports from a national health technology assessment program in the United Kingdom were searched, and the findings were combined with "pearl-growing" searches of the academic literature. We categorized the methods that have been used according to the assumptions they made about how the hazards of death vary between the external and internal data and through time, and we discuss the appropriateness of the assumptions in different circumstances. Modeling choices, parameter estimation, and characterization of uncertainty are discussed, and some suggestions for future research priorities in this area are given.

Indexed as

Models, StatisticalSurvival AnalysisCost-Benefit AnalysisData Interpretation, StatisticalHumansModels, EconomicQuality-Adjusted Life YearsRandomized Controlled Trials as TopicUncertaintyUnited Kingdomdetailed methodologyinternal medicinemultiparameter evidence synthesissurvival analysistechnology assessment

Identifiers

PMID27005519
PMCPMC5424081

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.