Evidence map›Paper›PMID 35427401›Full record

ArticlePloS one2022

Collection of cancer Patient Reported Outcome Measures (PROMS) to link with primary and secondary electronic care records to understand and improve long term cancer outcomes: A protocol paper.

Elizabeth Stamp, Gemma Clarke, Penny Wright, Galina Velikova, Samantha S R Crossfield, Kieran Zucker, Ciarán McInerney, Chris Bojke, Adam Martin, Paul Baxter and 10 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
  5. 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

20 authors.

Elizabeth StampLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-5106-0033
Gemma ClarkeLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.
Penny WrightLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.
Galina VelikovaLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.
Samantha S R CrossfieldLeeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom.ORCID 0000-0001-7337-3527
Kieran ZuckerLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.ORCID 0000-0003-4385-3153
Ciarán McInerneySchool of Computing, University of Leeds, Leeds, United Kingdom.
Chris BojkeAcademic Unit of Health Economics, School of Medicine, University of Leeds, Leeds, United Kingdom.
Adam MartinAcademic Unit of Health Economics, School of Medicine, University of Leeds, Leeds, United Kingdom.
Paul BaxterLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
Barbara WoroncowPPI Member, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.
David WilsonPPI Member, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.
Lorraine WarringtonLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.
Kate AbsolomLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.
Dermot BurkeLeeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.ORCID 0000-0002-4342-7464
Graeme I StablesLeeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.
Angana MitraLeeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.
Richard HutsonLeeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.
Adam W GlaserLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.
Geoff HallLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMore people are living with and beyond a cancer diagnosis. There is limited understanding of the long-term effects of cancer and cancer treatment on quality of life and personal and household finances when compared to people without cancer. In a separate protocol we have proposed to link de-identified data from electronic primary care and hospital records for a large population of cancer survivors and matched controls. In this current protocol, we propose the linkage of Patient Reported Outcomes Measures data to the above data for a subset of this population. The aim of this study is to investigate the full impact of living with and beyond a cancer diagnosis compared to age and gender matched controls. A secondary aim is to test the feasibility of the collection of Patient Reported Outcomes Measures (PROMS) data and the linkage procedures of the PROMs data to electronic health records data. MATERIALS AND

methodsThis is a cross-sectional study, aiming to recruit participants treated at the Leeds Teaching Hospitals National Health Service Trust. Eligible patients will be cancer survivors at around 5 years post-diagnosis (breast, colorectal and ovarian cancer) and non-cancer patient matched controls attending dermatology out-patient clinics. They will be identified by running a query on the Leeds Teaching Hospitals Trust patient records system. Approximately 6000 patients (2000 cases and 4000 controls) will be invited to participate via post. Participants will be invited to complete PROMs assessing factors such as quality of life and finances, which can be completed on paper or online (surveys includes established instruments, and bespoke instruments (demographics, financial costs). This PROMs data will then be linked to routinely collected de-identified data from patient's electronic primary care and hospital records. DISCUSSION: This innovative work aims to create a truly 'comprehensive patient record' to provide a broad picture of what happens to cancer patients across their cancer pathway, and the long-term impact of cancer treatment. Comparisons can be made between the cases and controls, to identify the aspects of life that has had the greatest impact following a cancer diagnosis. The feasibility of linking PROMs data to electronic health records can also be assessed. This work can inform future support offered to people living with and beyond a cancer diagnosis, clinical practice, and future research methodologies.

Indexed as

NeoplasmsQuality of LifeCross-Sectional StudiesElectronicsHumansPatient Reported Outcome MeasuresState Medicine

Identifiers

PMID35427401
PMCPMC9012381

What OpenQuestion holds

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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.