Cardiac rehabilitation and survival in a large representative community cohort of Dutch patients

Vries, Han de; Kemps, Hareld; Engen-Verheul, Mariëtte M. van; Kraaijenhagen, Roderik A.; Peek, Niels

doi:10.1093/eurheartj/ehv111

Cited by 117 publications

(106 citation statements)

References 31 publications

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“…An example of how routinely collected, real-world data can be used to assess the causal effects of treatment is provided by De Vries et al [15]. They investigated the effect of cardiac rehabilitation on survival using a large Dutch insurance claims database (n=35,919).…”

Section: Why Big Data Should Replace Traditional Medical Research Metmentioning

confidence: 99%

Three controversies in health data science

Peek

Rodrigues

2018

Int J Data Sci Anal

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The routine operation of modern healthcare systems produces a wealth of data in electronic health records, administrative databases, clinical registries, and other clinical systems. It is widely acknowledged that there is great potential for utilising these routine data for health research to derive new knowledge about health, disease, and treatments. However, the reuse of routine healthcare data for research is not beyond debate. In this paper, we discuss three issues that have stirred considerable controversy among health data scientists. First, we discuss van der Lei's 1st Law of Medical Informatics, which states that data shall be used only for the purpose for which they were collected. Then, we discuss to which extent routine data sources and innovations in analytical methods alleviate the need to conduct randomised clinical trials. Finally, we address questions of governance, privacy, and trust when routine health data are made available for research. While we don't think that there is a definite "right answer" for any of these issues, we argue that data scientists should be aware of the arguments for different viewpoints, respect their validity, and contribute constructively to the debate. The three controversies discussed in this paper relate to core challenges for research with health data and define an essential research agenda for the health data science community.

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Section: Why Big Data Should Replace Traditional Medical Research Metmentioning

confidence: 99%

Three controversies in health data science

Peek

Rodrigues

2018

Int J Data Sci Anal

Self Cite

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“…Diese Fakten berücksichtigend ist somit jeder Arzt/jede Ärztin, der/die mit der Behandlung von Post-Myokardinfarkt-Patienten/innen betraut ist, gefordert, möglichst effektiv und langfristig Risiko-senkend zu agieren. Mehrere Studien und Metaanalysen der letzten Jahre haben rehabilitativen Maßnahmen einen Mortalitäts-Benefit bescheinigt [12,13] …”

Section: Langfristig Erhöhtes Risiko Nach Einem Akuten Koronarsyndromunclassified

Sekundärpräventive Antiplättchentherapie in der kardiologischen Rehabilitation

Wanitschek

Alber

2017

Wien Med Wochenschr

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Secondary prevention with antiplatelet therapy in cardiac rehabilitationSummary The long-term increased cardiovascular risk of patients with an acute coronary syndrome (ACS) is a challenging and common clinical problem. Recent evidence demonstrated an ischemic benefit for a prolonged dual antiplatelet therapy beyond the initial 12 months at the cost of an increased bleeding risk. Individual, careful and repeated risk-

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“…28 Regarding specifically the trials on post-CABG-only article, 3 observational and nonrandomized articles are found (Table 2). Kutner and coworkers, 23 in a study with 6125 patients undergoing dialysis, found a 35% all-cause mortality and 36% cardiac death risk reduction after CR, although only 10% of the population participated in the program.…”

Section: How Strong Is the Scientific Evidence?mentioning

confidence: 99%