Evidence map›Paper›PMID 34007905›Full record

ArticleInternational journal of population data science2021

Creation of the first national linked colorectal cancer dataset in Scotland: prospects for future research and a reflection on lessons learned.

Catherine R Hanna, Elizabeth Lemmon, Holly Ennis, Robert J Jones, Joy Hay, Roger Halliday, Steve Clark, Eva Morris, Peter Hall

Abstract read
In one paragraph

Article in International journal of population data science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Catherine R HannaCRUK Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, 1042 Great Western Road, Glasgow, G12 OYN.
Elizabeth LemmonEdinburgh Health Economics, University of Edinburgh,NINE BioQuarter 9 Little France Road Edinburgh EH16 4UX.
Holly EnnisEdinburgh Clinical Trials Unit, Usher Institute, University of Edinburgh, NINE, 9 Little France Road, Edinburgh BioQuarter, Edinburgh EH16 4UX.
Robert J JonesCRUK Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, 1042 Great Western Road, Glasgow, G12 OYN.
Joy HayElectronic Data Research and Innovation Service (eDRIS) Public Health Scotland, NINE BioQuarter 9 Little France Road Edinburgh EH16 4UX.
Roger HallidayUniversity of Glasgow and Chief Statistician, Scottish Government, St Andrew's house, Regent Road, Edinburgh, EH1 3DG.
Steve ClarkPatient Public Group Member, Bowel Cancer Intelligence (BCI) UK, University of Leeds, LIDA, Worsely Building, Leeds, LS2 9JT.
Eva MorrisClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Big Data Institute, Nuffield Department of Population Health, University of Oxford, Old Road Campus OX3 7LF.
Peter HallEdinburgh Cancer Research Centre and Edinburgh Health Economics, University of Edinburgh, Western General Hospital, Crewe Road South, Edinburgh EH4 2XR.

Funding

Cancer Research UK 15960Cancer Research UK C23434/A23706Cancer Research UK C61974/A2429
6 · The paper itself

Abstract

introductionCurrent understanding of cancer patients, their treatment pathways and outcomes relies mainly on information from clinical trials and prospective research studies representing a selected sub-set of the patient population. Whole-population analysis is necessary if we are to assess the true impact of new interventions or policy in a real-world setting. Accurate measurement of geographic variation in healthcare use and outcomes also relies on population-level data. Routine access to such data offers efficiency in research resource allocation and a basis for policy that addresses inequalities in care provision.

objectiveAcknowledging these benefits, the objective of this project was to create a population level dataset in Scotland of patients with a diagnosis of colorectal cancer (CRC).

methodsThis paper describes the process of creating a novel, national dataset in Scotland.

resultsIn total, thirty two separate healthcare administrative datasets have been linked to provide a comprehensive resource to investigate the management pathways and outcomes for patients with CRC in Scotland, as well as the costs of providing CRC treatment. This is the first time that chemotherapy prescribing and national audit datasets have been linked with the Scottish Cancer Registry on a national scale.

conclusionsWe describe how the acquired dataset can be used as a research resource and reflect on the data access challenges relating to its creation. Lessons learned from this process and the policy implications for future studies using administrative cancer data are highlighted.

Indexed as

Colorectal NeoplasmsCosts and Cost AnalysisForecastingHumansProspective StudiesScotlandadministrative datacancercoloncostsdata linkagehealthcarerectumScotland

Identifiers

PMID34007905
PMCPMC8111382

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LicenceCC BY-NC-ND
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Registered trials

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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.