Evidence map›Paper›PMID 26010412›Full record

ArticleBritish journal of cancer2015

Modelling the cost-effectiveness of public awareness campaigns for the early detection of non-small-cell lung cancer.

S Hinde, C McKenna, S Whyte, M D Peake, M E J Callister, T Rogers, M Sculpher

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 31% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. The Use of Expert Elicitation among Computational Modeling Studies in Health Research: A Systematic Review.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Pooled it
  3. Article
  4. A Scoping Review on Calibration Methods for Cancer Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  5. Article
  6. Article
  7. Natural history models for lung Cancer: A scoping review.Lung cancer (Amsterdam, Netherlands) · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. 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 at 5 institutions in 1 country.

S HindeCentre for Health Economics, University of York, York YO10 5DD, UK.
C McKennaCentre for Health Economics, University of York, York YO10 5DD, UK.
S WhyteSchool of Health and Related Research, University of Sheffield, Sheffield S1 4DA, UK.
M D Peake1] Glenfield Hospital, Leicester LE3 9QP, UK [2] National Cancer Intelligence Network, London, UK.
M E J CallisterSt James's University Hospital, Leeds LS9 7TF, UK.
T RogersDoncaster Royal Infirmary, Doncaster DN2 5LT, UK.
M SculpherCentre for Health Economics, University of York, York YO10 5DD, UK.
University of York · GBDoncaster Royal Infirmary · GBGlenfield Hospital · GBSt James's University Hospital · GBUniversity of Sheffield · GB

Funding

Department of Health
6 · The paper itself

Abstract

backgroundSurvival rates in lung cancer in England are significantly lower than in many similar countries. A range of Be Clear on Cancer (BCOC) campaigns have been conducted targeting lung cancer and found to improve the proportion of diagnoses at the early stage of disease. This paper considers the cost-effectiveness of such campaigns, evaluating the effect of both the regional and national BCOC campaigns on the stage distribution of non-small-cell lung cancer (NSCLC) at diagnosis.

methodsA natural history model of NSCLC was developed using incidence data, data elicited from clinical experts and model calibration techniques. This structure is used to consider the lifetime cost and quality-adjusted survival implications of the early awareness campaigns. Incremental cost-effectiveness ratios (ICERs) in terms of additional costs per quality-adjusted life-years (QALYs) gained are presented. Two scenario analyses were conducted to investigate the role of changes in the 'worried-well' population and the route of diagnosis that might occur as a result of the campaigns.

resultsThe base-case theoretical model found the regional and national early awareness campaigns to be associated with QALY gains of 289 and 178 QALYs and ICERs of £13 660 and £18 173 per QALY gained, respectively. The scenarios found that increases in the 'worried-well' population may impact the cost-effectiveness conclusions.

conclusionsSubject to the available evidence, the analysis suggests that early awareness campaigns in lung cancer have the potential to be cost-effective. However, significant additional research is required to address many of the limitations of this study. In addition, the estimated natural history model presents previously unavailable estimates of the prevalence and rate of disease progression in the undiagnosed population.

Indexed as

AwarenessCost-Benefit AnalysisAdultAgedCarcinoma, Non-Small-Cell LungEarly DiagnosisHumansLung NeoplasmsMiddle Aged

Identifiers

PMID26010412
PMCPMC4647547
OpenAlexW1563418223

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.