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X Demographics
Mendeley readers
| Title |
Detailed statistical analysis plan for the Danish Palliative Care Trial (DanPaCT)
|
|---|---|
| Published in |
Trials, September 2014
|
| DOI | 10.1186/1745-6215-15-376 |
| Pubmed ID | |
| Authors |
Anna Thit Johnsen, Morten Aagaard Petersen, Christian Gluud, Jane Lindschou, Peter Fayers, Per Sjøgren, Lise Pedersen, Mette Asbjoern Neergaard, Tove Bahn Vejlgaard, Anette Damkier, Jan Bjoern Nielsen, Annette S Strömgren, Irene J Higginson, Mogens Groenvold |
| Abstract |
Advanced cancer patients experience considerable symptoms, problems, and needs. Early referral of these patients to specialized palliative care (SPC) could offer improvements. The Danish Palliative Care Trial (DanPaCT) investigates whether patients with metastatic cancer will benefit from being referred to 'early SPC'. DanPaCT is a multicenter, parallel-group, superiority clinical trial with 1:1 randomization. The planned sample size was 300 patients. The primary data collection for DanPaCT is finished. To prevent outcome reporting bias, selective reporting, and data-driven results, we present a detailed statistical analysis plan (SAP) for DanPaCT here. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 74 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 20% |
| Student > Ph. D. Student | 13 | 17% |
| Researcher | 9 | 12% |
| Other | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Other | 8 | 11% |
| Unknown | 20 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 34% |
| Nursing and Health Professions | 11 | 14% |
| Psychology | 6 | 8% |
| Economics, Econometrics and Finance | 4 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 26 | 34% |