Literature DB >> 25421570

The identification of incident cancers in UK primary care databases: a systematic review.

Michael Rañopa1, Ian Douglas, Tjeerd van Staa, Liam Smeeth, Olaf Klungel, Robert Reynolds, Krishnan Bhaskaran.   

Abstract

PURPOSE: UK primary care databases are frequently used in observational studies with cancer outcomes. We aimed to systematically review methods used by such studies to identify and validate incident cancers of the breast, colorectum, and prostate.
METHODS: Medline and Embase (1980-2013) were searched for UK primary care database studies with incident breast, colorectal, or prostate cancer outcomes. Data on the methods used for case ascertainment were extracted and summarised. Questionnaires were sent to corresponding authors to obtain details about case ascertainment.
RESULTS: Eighty-four studies of breast (n = 51), colorectal (n = 54), and prostate cancer (n = 31) were identified; 30 examined >1 cancer type. Among the 84 studies, 57 defined cancers using only diagnosis codes, while 27 required further evidence such as chemotherapy. Few studies described methods used to create cancer code lists (n = 5); or made lists available directly (n = 5). Twenty-eight code lists were received on request from study authors. All included malignant neoplasm diagnosis codes, but there was considerable variation in the specific codes included which was not explained by coding dictionary changes. Code lists also varied in terms of other types of codes included, such as in-situ, cancer morphology, history of cancer, and secondary/suspected/borderline cancer codes.
CONCLUSIONS: In UK primary care database studies, methods for identifying breast, colorectal, and prostate cancers were often unclear. Code lists were often unavailable, and where provided, we observed variation in the individual codes and types of codes included. Clearer reporting of methods and publication of code lists would improve transparency and reproducibility of studies.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Read code; cancer; case identification; neoplasm; pharmacoepidemiology; primary care database

Mesh:

Year:  2014        PMID: 25421570     DOI: 10.1002/pds.3729

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  8 in total

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2.  Validation of Cancer Cases Using Primary Care, Cancer Registry, and Hospitalization Data in the United Kingdom.

Authors:  Andrea V Margulis; Joan Fortuny; James A Kaye; Brian Calingaert; Maria Reynolds; Estel Plana; Lisa J McQuay; Willem Jan Atsma; Billy Franks; Stefan de Vogel; Susana Perez-Gutthann; Alejandro Arana
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3.  The impact of the lookback period and definition of confirmatory events on the identification of incident cancer cases in administrative data.

Authors:  Jonas Czwikla; Kathrin Jobski; Tania Schink
Journal:  BMC Med Res Methodol       Date:  2017-08-14       Impact factor: 4.615

4.  Term sets: A transparent and reproducible representation of clinical code sets.

Authors:  Richard Williams; Benjamin Brown; Evan Kontopantelis; Tjeerd van Staa; Niels Peek
Journal:  PLoS One       Date:  2019-02-14       Impact factor: 3.240

5.  Identification of mental health and quality of life outcomes in primary care databases in the UK: a systematic review.

Authors:  Helena Carreira; Rachael Williams; Helen Strongman; Krishnan Bhaskaran
Journal:  BMJ Open       Date:  2019-07-02       Impact factor: 2.692

6.  Identifying incident cancer cases in dispensing claims: A validation study using Australia's Repatriation Pharmaceutical Benefits Scheme (PBS) data.

Authors:  B Daniels; H E Tervonen; S-A Pearson
Journal:  Int J Popul Data Sci       Date:  2019-03-19

7.  What are the implications of using individual and combined sources of routinely collected data to identify and characterise incident site-specific cancers? a concordance and validation study using linked English electronic health records data.

Authors:  Helen Strongman; Rachael Williams; Krishnan Bhaskaran
Journal:  BMJ Open       Date:  2020-08-20       Impact factor: 2.692

8.  Validation of Cancer Diagnosis Based on the National Health Insurance Service Database versus the National Cancer Registry Database in Korea.

Authors:  Min Soo Yang; Minae Park; Joung Hwan Back; Gyeong Hyeon Lee; Ji Hye Shin; Kyuwoong Kim; Hwa Jeong Seo; Young Ae Kim
Journal:  Cancer Res Treat       Date:  2021-08-02       Impact factor: 5.036

  8 in total

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