Evidence map›Paper›PMID 36760877›Full record

ArticleJournal of simulation : JOS2023

Modelling lung cancer diagnostic pathways using discrete event simulation.

Tracey England, Paul Harper, Tom Crosby, Daniel Gartner, Edilson F Arruda, Kieran Foley, Ian Williamson

Open access · hybridAbstract read
In one paragraph

Article in Journal of simulation : JOS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Mathematical Modeling Support for Lung Cancer Therapy-A Short Review.International journal of molecular sciences · 2023
    Review
  4. 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 3 institutions in 2 countries.

Tracey EnglandSchool of Mathematics, Cardiff University, Cardiff, UK.
Paul HarperSchool of Mathematics, Cardiff University, Cardiff, UK.
Tom CrosbyVelindre Cancer Centre, Cardiff, UK.
Daniel GartnerSchool of Mathematics, Cardiff University, Cardiff, UK.
Edilson F ArrudaSchool of Mathematics, Cardiff University, Cardiff, UK.
Kieran FoleyVelindre Cancer Centre, Cardiff, UK.
Ian WilliamsonRespiratory Medicine, Aneurin Bevan University Health Board, Newport, UK.
Cardiff University · GBVelindre Cancer Centre · GBAneurin Bevan University Health Board · GB

Funding

Cancer Research UK 27882
6 · The paper itself

Abstract

The United Kingdom has one of the poorest lung cancer survival rates in Europe. In this study, to help design and evaluate a single lung cancer pathway (SCP) for Wales, existing diagnostic pathways and processes have been mapped and then modelled with a discrete event simulation. The validated models have been used to provide key performance indicators and to examine different diagnostic testing strategies. Under the current diagnostic pathways, the mean time to treatment was 72 days for surgery patients, 56 days for chemotherapy patients, and 61 days for radiotherapy patients. Our research demonstrated that by ensuring that the patient attends their first outpatient appointment within 7 days and streamlining the diagnostic tests would have the potential to remove approximately 11 days from the current lung cancer pathway resulting in a 21% increase in patients receiving treatment within the Welsh Government set target of 62 days.

Indexed as

cancerDiagnostic pathwaydiscrete event simulationperformance indicators

Identifiers

PMID36760877
PMCPMC9901409
OpenAlexW3187964273

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.