Literature DB >> 31586294

Detection of incident breast and colorectal cancer cases from an administrative healthcare database in Catalonia, Spain.

J M Escribà1,2, M Banqué3,4, F Macià3, J Gálvez5, L Esteban5, L Pareja5, R Clèries5,6, X Sanz5, X Castells3,7, J M Borrás5,6, J Ribes5,6.   

Abstract

OBJECTIVE: To validate the Catalan minimum basic data set (MBDS) of hospital discharges as an information source for detecting incident breast (BC) and colorectal cancer (CRC), against the Hospital del Mar Cancer Registry (RTHMar) in Barcelona (Spain) as the gold standard.
METHODS: Using ASEDAT software (Analysis, Selection and Extraction of Tumour Data), we identified Catalan public hospital discharge abstracts in patients with a first-time diagnosis of BC and CRC in the years 2005, 2008, and 2011, aggregated by unique patient identifiers and sorted by date. Once merged with the RTHMar database and anonymized, tumour-specific algorithms were validated to extract data on incident cases, tumour stage, surgical treatment, and date of incidence.
RESULTS: MBDS had a respective sensitivity and positive predictive value (PPV) of 78.0% (564/723) and 90.5% (564/623) for BC case detection; and 83.9% (387/461) and 94.9% (387/408) for CRC case detection. The staging algorithms overestimated the proportion of local-stage cases and underestimated the regional-stage cases in both cancers. When loco-regional stage and surgery were combined, sensitivity and PPV reached 98.3% and 99.8%, respectively, for BC and 96.4% and 98.4% for CRC. The differences between dates of incidence between RTHMar and MBDS were greater for BC cases without initial surgery, whereas they were generally smaller and homogeneous for CRC cases.
CONCLUSIONS: The MBDS is a valid and efficient instrument to improve the completeness of a hospital-based cancer registry (HBCR), particularly in BC and CRC, which require hospitalization and are predominantly surgical.

Entities:  

Keywords:  Breast cancer; Case ascertainment; Colorectal cancer; Hospital discharge abstracts; Hospital-based cancer registry; Validation studies

Mesh:

Year:  2019        PMID: 31586294     DOI: 10.1007/s12094-019-02219-3

Source DB:  PubMed          Journal:  Clin Transl Oncol        ISSN: 1699-048X            Impact factor:   3.405


  32 in total

1.  Evaluation of an algorithm to identify incident breast cancer cases using DRGs data.

Authors:  O Ganry; A Taleb; J Peng; N Raverdy; A Dubreuil
Journal:  Eur J Cancer Prev       Date:  2003-08       Impact factor: 2.497

Review 2.  Development and use of reporting guidelines for assessing the quality of validation studies of health administrative data.

Authors:  Eric I Benchimol; Douglas G Manuel; Teresa To; Anne M Griffiths; Linda Rabeneck; Astrid Guttmann
Journal:  J Clin Epidemiol       Date:  2010-12-30       Impact factor: 6.437

3.  [Validation of colorectal cancer diagnostic codes in a hospital administration data set].

Authors:  Mirari Márquez Cid; Isabel Valera Niñirola; María Dolores Chirlaque López; Jacinta Tortosa Martínez; Encarnación Párraga Sánchez; Carmen Navarro Sánchez
Journal:  Gac Sanit       Date:  2006 Jul-Aug       Impact factor: 2.139

4.  The Minimum Basic Data Set (MBDS) as a tool for cancer epidemiological surveillance.

Authors:  Pablo Fernández-Navarro; Gonzalo López-Abente; Carmen Salido-Campos; José Miguel Sanz-Anquela
Journal:  Eur J Intern Med       Date:  2016-08-05       Impact factor: 4.487

5.  Identification of metastatic cancer in claims data.

Authors:  Beth L Nordstrom; Joanna L Whyte; Marilyn Stolar; Catherine Mercaldi; Joel D Kallich
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-05       Impact factor: 2.890

6.  Quality of ICD-10 colorectal cancer diagnosis codes in the Danish National Registry of Patients.

Authors:  L Helqvist; R Erichsen; H Gammelager; M B Johansen; H T Sørensen
Journal:  Eur J Cancer Care (Engl)       Date:  2012-04-18       Impact factor: 2.520

7.  An Evaluation of Algorithms for Identifying Metastatic Breast, Lung, or Colorectal Cancer in Administrative Claims Data.

Authors:  Joanna L Whyte; Nicole M Engel-Nitz; April Teitelbaum; Gabriel Gomez Rey; Joel D Kallich
Journal:  Med Care       Date:  2015-07       Impact factor: 2.983

8.  Ascertaining invasive breast cancer cases; the validity of administrative and self-reported data sources in Australia.

Authors:  Anna Kemp; David B Preen; Christobel Saunders; C D'Arcy J Holman; Max Bulsara; Kris Rogers; Elizabeth E Roughead
Journal:  BMC Med Res Methodol       Date:  2013-02-11       Impact factor: 4.615

9.  Estimation of national colorectal-cancer incidence using claims databases.

Authors:  C Quantin; E Benzenine; M Hägi; B Auverlot; M Abrahamowicz; J Cottenet; E Fournier; C Binquet; D Compain; E Monnet; A M Bouvier; A Danzon
Journal:  J Cancer Epidemiol       Date:  2012-06-26

10.  Validation of administrative hospital data for identifying incident pancreatic and periampullary cancer cases: a population-based study using linked cancer registry and administrative hospital data in New South Wales, Australia.

Authors:  Nicola Creighton; Richard Walton; David Roder; Sanchia Aranda; David Currow
Journal:  BMJ Open       Date:  2016-07-01       Impact factor: 2.692

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