Erik Kjøller1, Jørgen Hilden2, Per Winkel3, Søren Galatius4, Niels Jørgen Frandsen5, Gorm B Jensen6, Jørgen Fischer Hansen7, Jens Kastrup8, Christian M Jespersen9, Per Hildebrandt10, Hans Jørn Kolmos11, Christian Gluud12. 1. Department of Cardiology, Herlev Hospital, Copenhagen University Hospital and The Copenhagen Trial Unit, Center for Clinical Intervention Research, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark. Electronic address: kjoller@dadlnet.dk. 2. The Copenhagen Trial Unit, Center for Clinical Intervention Research, Rigshospitalet, Copenhagen University Hospital, and Department of Biostatistics, University of Copenhagen, Copenhagen, Denmark. Electronic address: jhil@sund.ku.dk. 3. The Copenhagen Trial Unit, Center for Clinical Intervention Research, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark. Electronic address: pwinkel@ctu.dk. 4. Department of Cardiology, Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark. Electronic address: galatius@dadlnet.dk. 5. Department of Cardiology, Amager Hospital, Copenhagen University Hospital, Copenhagen, Denmark. Electronic address: nj.frandsen@mail.dk. 6. Department of Cardiology, Hvidovre Hospital, Copenhagen University Hospital, Copenhagen, Denmark. Electronic address: Gorm.Jensen@hvh.regionh.dk. 7. Department of Cardiology, Bispebjerg Hospital, Copenhagen University Hospital, Copenhagen, Denmark. Electronic address: fischer_hansen@hotmail.com. 8. Department of Medicine B, The Heart Center, Rigshospitalet, Copenhagen University Hospital and Faculty of Health Sciences, Copenhagen, Denmark. Electronic address: jkastrup@rh.dk. 9. Department of Cardiology, Bispebjerg Hospital, Copenhagen University Hospital, Copenhagen, Denmark. Electronic address: crmj@novonordisk.com. 10. Department of Cardiology, Frederiksberg Hospital, Copenhagen University Hospital, Copenhagen, Denmark. Electronic address: p.hildebrandt@dadlnet.dk. 11. Department of Clinical Microbiology, Odense University Hospital, Odense, Denmark. Electronic address: Hans.Joern.Kolmos@ouh.regionsyddanmark.dk. 12. The Copenhagen Trial Unit, Center for Clinical Intervention Research, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark. Electronic address: cgluud@ctu.dk.
Abstract
UNLABELLED: The objective of this study is to describe the agreement between randomized trial outcome assessment by committee and outcomes entirely identified through public registers. METHODS: In the CLARICOR trial, 4,372 patients with stable coronary heart disease received a short course of clarithromycin versus placebo and were followed up for 2.6 years. The pertinent hospital records and death certificates had originally been evaluated by the adjudication committee using common definitions of outcomes mapped into a 6-category list. We now mechanically converted the International Classification of Diseases-coded diagnoses of the public registries into the same categories. After cross-tabulation of the committee diagnoses with National Patient Register diagnoses and Register of Causes of Death, we calculate agreement and compare the estimated intervention effects of the 2 data sets. RESULTS: With public register data, the protocol-specified categories were slightly more frequent. Overall agreement was 74% for hospital discharges and 60% for cause of death, but the intervention effect, expressed as a hazard ratio, stayed within 4% of the value originally obtained with the adjudication committee (P ≥ .35). CONCLUSIONS: Our results show a modest agreement between formal adjudication and outcomes deducible from public registers. However, the estimated intervention effect did not differ noticeably between the 2 data sources. If studies on a wide range of public registers confirm these findings, register outcomes may be considered as a replacement for adjudication committees.
RCT Entities:
UNLABELLED: The objective of this study is to describe the agreement between randomized trial outcome assessment by committee and outcomes entirely identified through public registers. METHODS: In the CLARICOR trial, 4,372 patients with stable coronary heart disease received a short course of clarithromycin versus placebo and were followed up for 2.6 years. The pertinent hospital records and death certificates had originally been evaluated by the adjudication committee using common definitions of outcomes mapped into a 6-category list. We now mechanically converted the International Classification of Diseases-coded diagnoses of the public registries into the same categories. After cross-tabulation of the committee diagnoses with National Patient Register diagnoses and Register of Causes of Death, we calculate agreement and compare the estimated intervention effects of the 2 data sets. RESULTS: With public register data, the protocol-specified categories were slightly more frequent. Overall agreement was 74% for hospital discharges and 60% for cause of death, but the intervention effect, expressed as a hazard ratio, stayed within 4% of the value originally obtained with the adjudication committee (P ≥ .35). CONCLUSIONS: Our results show a modest agreement between formal adjudication and outcomes deducible from public registers. However, the estimated intervention effect did not differ noticeably between the 2 data sources. If studies on a wide range of public registers confirm these findings, register outcomes may be considered as a replacement for adjudication committees.
Authors: Neel M Butala; Jordan B Strom; Kamil F Faridi; Dhruv S Kazi; Yuansong Zhao; J Matthew Brennan; Jeffrey J Popma; Changyu Shen; Robert W Yeh Journal: JACC Cardiovasc Interv Date: 2020-07-15 Impact factor: 11.195
Authors: M K Wium-Andersen; I K Wium-Andersen; M B Jørgensen; M McGue; T S H Jørgensen; K Christensen; M Osler Journal: Acta Psychiatr Scand Date: 2019-08-01 Impact factor: 6.392
Authors: Axel C Carlsson; Toralph Ruge; Erik Kjøller; Jørgen Hilden; Hans Jørn Kolmos; Ahmad Sajadieh; Jens Kastrup; Gorm Boje Jensen; Anders Larsson; Christoph Nowak; Janus Christian Jakobsen; Per Winkel; Christian Gluud; Johan Ärnlöv Journal: J Am Heart Assoc Date: 2018-04-23 Impact factor: 5.501
Authors: Martin Schultz; Line Jee Hartmann Rasmussen; Malene H Andersen; Jakob S Stefansson; Alexander C Falkentoft; Morten Alstrup; Andreas Sandø; Sarah L K Holle; Jeppe Meyer; Peter B S Törnkvist; Thomas Høi-Hansen; Erik Kjøller; Birgitte Nybo Jensen; Morten Lind; Lisbet Ravn; Thomas Kallemose; Theis Lange; Lars Køber; Lars Simon Rasmussen; Jesper Eugen-Olsen; Kasper Karmark Iversen Journal: Scand J Trauma Resusc Emerg Med Date: 2018-08-28 Impact factor: 2.953
Authors: Per Winkel; Janus Christian Jakobsen; Jørgen Hilden; Theis Lange; Gorm Boje Jensen; Erik Kjøller; Ahmad Sajadieh; Jens Kastrup; Hans Jørn Kolmos; Anders Larsson; Johan Ärnlöv; Christian Gluud Journal: Diagn Progn Res Date: 2017-03-29
Authors: Martin Schultz; Line J H Rasmussen; Thomas Høi-Hansen; Erik Kjøller; Birgitte N Jensen; Morten N Lind; Lisbet Ravn; Thomas Kallemose; Theis Lange; Lars Køber; Lars S Rasmussen; Jesper Eugen-Olsen; Kasper K Iversen Journal: Dis Markers Date: 2019-05-19 Impact factor: 3.434
Authors: Jakob Schroder; Janus Christian Jakobsen; Per Winkel; Jørgen Hilden; Gorm Boje Jensen; Ahmad Sajadieh; Anders Larsson; Johan Ärnlöv; Marina Harutyunyan; Julia S Johansen; Erik Kjøller; Christian Gluud; Jens Kastrup Journal: J Am Heart Assoc Date: 2020-03-02 Impact factor: 5.501
Authors: Per Winkel; Janus Christian Jakobsen; Jørgen Hilden; Gorm Boje Jensen; Erik Kjøller; Ahmad Sajadieh; Jens Kastrup; Hans Jørn Kolmos; Kasper Karmark Iversen; Mette Bjerre; Anders Larsson; Johan Ärnlöv; Christian Gluud Journal: BMJ Open Date: 2020-08-20 Impact factor: 2.692
Authors: Per Winkel; Janus Christian Jakobsen; Jørgen Hilden; Gorm Jensen; Erik Kjøller; Ahmad Sajadieh; Jens Kastrup; Hans Jørn Kolmos; Anders Larsson; Johan Ärnlöv; Christian Gluud Journal: Open Heart Date: 2018-09-05