Literature DB >> 28515814

A review of routinely collected data studies in urology: Methodological considerations, reporting quality, and future directions.

Blayne Welk1, Justin Kwong2.   

Abstract

Studies using routinely collected data (RCD) are common in the urological literature; however, there are important considerations in the creation and review of RCD discoveries. A recent reporting guideline (REporting of studies Conducted using Observational Routinely-collected health Data, RECORD) was developed to improve the reporting of these studies. This narrative review examines important considerations for RCD studies. To assess the current level of reporting in the urological literature, we reviewed all the original research articles published in Journal of Urology and European Urology in 2014, and determined the proportion of the RECORD checklist items that were reported for RCD studies. There were 56 RCD studies identified among the 608 articles. When the RECORD items were considered applicable to the specific study, they were reported in 52.5% of cases. Studies most consistently (>80% of them) reported the names of the data sources, the study time frame, the extent to which the authors could access the database source, the patient selection, and discussed missing data. Few studies (<25%) discussed validation of key coding elements, details on data-linkage, data-cleaning, the impact of changing eligibility over time, or provided the complete list of coding elements used to define key study variables. Reporting factors specifically relevant in RCD studies may serve to increase the quality of these studies in the urological literature. With increased technological integration in healthcare and the proliferation of electronic medical records, RCD will continue to be an important source for urological research.

Entities:  

Year:  2017        PMID: 28515814      PMCID: PMC5434499          DOI: 10.5489/cuaj.4101

Source DB:  PubMed          Journal:  Can Urol Assoc J        ISSN: 1911-6470            Impact factor:   1.862


  30 in total

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2.  Association of clinical benign prostate hyperplasia with prostate cancer incidence and mortality revisited: a nationwide cohort study of 3,009,258 men.

Authors:  David D Ørsted; Stig E Bojesen; Sune F Nielsen; Børge G Nordestgaard
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3.  Validating billing/encounter codes as indicators of lung, colorectal, breast, and prostate cancer recurrence using 2 large contemporary cohorts.

Authors:  Michael J Hassett; Debra P Ritzwoller; Nathan Taback; Nikki Carroll; Angel M Cronin; Gladys V Ting; Deb Schrag; Joan L Warren; Mark C Hornbrook; Jane C Weeks
Journal:  Med Care       Date:  2014-10       Impact factor: 2.983

4.  Validation study of medicare claims to identify older US adults with CKD using the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

Authors:  Paul Muntner; Orlando M Gutiérrez; Hong Zhao; Caroline S Fox; Nicole C Wright; Jeffrey R Curtis; William McClellan; Henry Wang; Meredith Kilgore; David G Warnock; C Barrett Bowling
Journal:  Am J Kidney Dis       Date:  2014-09-19       Impact factor: 8.860

Review 5.  Secondary data analysis of large data sets in urology: successes and errors to avoid.

Authors:  Bruce J Schlomer; Hillary L Copp
Journal:  J Urol       Date:  2013-10-17       Impact factor: 7.450

6.  Identification of smoking using Medicare data--a validation study of claims-based algorithms.

Authors:  Rishi J Desai; Daniel H Solomon; Nancy Shadick; Christine Iannaccone; Seoyoung C Kim
Journal:  Pharmacoepidemiol Drug Saf       Date:  2016-01-13       Impact factor: 2.890

7.  A Multicenter Observational Study of Incretin-based Drugs and Heart Failure.

Authors:  Kristian B Filion; Laurent Azoulay; Robert W Platt; Matthew Dahl; Colin R Dormuth; Kristin K Clemens; Nianping Hu; J Michael Paterson; Laura Targownik; Tanvir C Turin; Jacob A Udell; Pierre Ernst
Journal:  N Engl J Med       Date:  2016-03-24       Impact factor: 91.245

8.  Uses and misuses of the STROBE statement: bibliographic study.

Authors:  Bruno R da Costa; Myriam Cevallos; Douglas G Altman; Anne W S Rutjes; Matthias Egger
Journal:  BMJ Open       Date:  2011-02-26       Impact factor: 2.692

9.  The REporting of Studies Conducted Using Observational Routinely-Collected Health Data (RECORD) Statement: Methods for Arriving at Consensus and Developing Reporting Guidelines.

Authors:  Stuart G Nicholls; Pauline Quach; Erik von Elm; Astrid Guttmann; David Moher; Irene Petersen; Henrik T Sørensen; Liam Smeeth; Sinéad M Langan; Eric I Benchimol
Journal:  PLoS One       Date:  2015-05-12       Impact factor: 3.240

10.  ClinicalCodes: an online clinical codes repository to improve the validity and reproducibility of research using electronic medical records.

Authors:  David A Springate; Evangelos Kontopantelis; Darren M Ashcroft; Ivan Olier; Rosa Parisi; Edmore Chamapiwa; David Reeves
Journal:  PLoS One       Date:  2014-06-18       Impact factor: 3.240

View more
  1 in total

1.  Routinely collected data for population-based outcomes research.

Authors:  Blayne Welk
Journal:  Can Urol Assoc J       Date:  2019-07-23       Impact factor: 1.862

  1 in total

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