Detailed statistical analysis plan for the Danish Palliative Care Trial (DanPaCT)

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Detailed statistical analysis plan for the Danish Palliative Care Trial (DanPaCT). / Johnsen, Anna Thit; Petersen, Morten Aagaard; Gluud, Christian; Lindschou, Jane; Fayers, Peter; Sjøgren, Per; Pedersen, Lise; Neergaard, Mette Asbjoern; Vejlgaard, Tove Bahn; Damkier, Anette; Nielsen, Jan Bjoern; Strömgren, Annette S; Higginson, Irene J; Grønvold, Mogens.

In: Trials, Vol. 15, 376, 2014, p. 1-10.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Johnsen, AT, Petersen, MA, Gluud, C, Lindschou, J, Fayers, P, Sjøgren, P, Pedersen, L, Neergaard, MA, Vejlgaard, TB, Damkier, A, Nielsen, JB, Strömgren, AS, Higginson, IJ & Grønvold, M 2014, 'Detailed statistical analysis plan for the Danish Palliative Care Trial (DanPaCT)', Trials, vol. 15, 376, pp. 1-10. https://doi.org/10.1186/1745-6215-15-376

APA

Johnsen, A. T., Petersen, M. A., Gluud, C., Lindschou, J., Fayers, P., Sjøgren, P., Pedersen, L., Neergaard, M. A., Vejlgaard, T. B., Damkier, A., Nielsen, J. B., Strömgren, A. S., Higginson, I. J., & Grønvold, M. (2014). Detailed statistical analysis plan for the Danish Palliative Care Trial (DanPaCT). Trials, 15, 1-10. [376]. https://doi.org/10.1186/1745-6215-15-376

Vancouver

Johnsen AT, Petersen MA, Gluud C, Lindschou J, Fayers P, Sjøgren P et al. Detailed statistical analysis plan for the Danish Palliative Care Trial (DanPaCT). Trials. 2014;15:1-10. 376. https://doi.org/10.1186/1745-6215-15-376

Author

Johnsen, Anna Thit ; Petersen, Morten Aagaard ; Gluud, Christian ; Lindschou, Jane ; Fayers, Peter ; Sjøgren, Per ; Pedersen, Lise ; Neergaard, Mette Asbjoern ; Vejlgaard, Tove Bahn ; Damkier, Anette ; Nielsen, Jan Bjoern ; Strömgren, Annette S ; Higginson, Irene J ; Grønvold, Mogens. / Detailed statistical analysis plan for the Danish Palliative Care Trial (DanPaCT). In: Trials. 2014 ; Vol. 15. pp. 1-10.

Bibtex

@article{0f2953878d3f44caaa2d8ffe30c1a611,
title = "Detailed statistical analysis plan for the Danish Palliative Care Trial (DanPaCT)",
abstract = "BACKGROUND: 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.RESULTS: This SAP provides detailed descriptions of the statistical analyses of the primary and secondary outcomes in DanPaCT. The primary outcome is the change in the patient's 'primary need'. The 'primary need' is a patient-individualised outcome representing the score of the symptom or problem that had the highest intensity out of seven at baseline assessed with the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30). Secondary outcomes are the seven scales that are represented in the primary outcome, but each scale evaluated individually for all patients, and survival. The detailed description includes chosen significance levels, models for multiple imputations, sensitivity analyses and blinding. In addition, we discuss the patient-individualized primary outcome, blinding, missing data, multiplicity and the risk of bias.CONCLUSIONS: Only few trials have investigated the effects of SPC. To our knowledge DanPaCT is the first trial to investigate screening based 'early SPC' for patients with metastatic cancer from a broad spectrum of cancer diagnosis.TRIAL REGISTRATION: Clinicaltrials.gov identifier: NCT01348048 (May 2011).",
author = "Johnsen, {Anna Thit} and Petersen, {Morten Aagaard} and Christian Gluud and Jane Lindschou and Peter Fayers and Per Sj{\o}gren and Lise Pedersen and Neergaard, {Mette Asbjoern} and Vejlgaard, {Tove Bahn} and Anette Damkier and Nielsen, {Jan Bjoern} and Str{\"o}mgren, {Annette S} and Higginson, {Irene J} and Mogens Gr{\o}nvold",
year = "2014",
doi = "10.1186/1745-6215-15-376",
language = "English",
volume = "15",
pages = "1--10",
journal = "Trials",
issn = "1745-6215",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - Detailed statistical analysis plan for the Danish Palliative Care Trial (DanPaCT)

AU - Johnsen, Anna Thit

AU - Petersen, Morten Aagaard

AU - Gluud, Christian

AU - Lindschou, Jane

AU - Fayers, Peter

AU - Sjøgren, Per

AU - Pedersen, Lise

AU - Neergaard, Mette Asbjoern

AU - Vejlgaard, Tove Bahn

AU - Damkier, Anette

AU - Nielsen, Jan Bjoern

AU - Strömgren, Annette S

AU - Higginson, Irene J

AU - Grønvold, Mogens

PY - 2014

Y1 - 2014

N2 - BACKGROUND: 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.RESULTS: This SAP provides detailed descriptions of the statistical analyses of the primary and secondary outcomes in DanPaCT. The primary outcome is the change in the patient's 'primary need'. The 'primary need' is a patient-individualised outcome representing the score of the symptom or problem that had the highest intensity out of seven at baseline assessed with the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30). Secondary outcomes are the seven scales that are represented in the primary outcome, but each scale evaluated individually for all patients, and survival. The detailed description includes chosen significance levels, models for multiple imputations, sensitivity analyses and blinding. In addition, we discuss the patient-individualized primary outcome, blinding, missing data, multiplicity and the risk of bias.CONCLUSIONS: Only few trials have investigated the effects of SPC. To our knowledge DanPaCT is the first trial to investigate screening based 'early SPC' for patients with metastatic cancer from a broad spectrum of cancer diagnosis.TRIAL REGISTRATION: Clinicaltrials.gov identifier: NCT01348048 (May 2011).

AB - BACKGROUND: 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.RESULTS: This SAP provides detailed descriptions of the statistical analyses of the primary and secondary outcomes in DanPaCT. The primary outcome is the change in the patient's 'primary need'. The 'primary need' is a patient-individualised outcome representing the score of the symptom or problem that had the highest intensity out of seven at baseline assessed with the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30). Secondary outcomes are the seven scales that are represented in the primary outcome, but each scale evaluated individually for all patients, and survival. The detailed description includes chosen significance levels, models for multiple imputations, sensitivity analyses and blinding. In addition, we discuss the patient-individualized primary outcome, blinding, missing data, multiplicity and the risk of bias.CONCLUSIONS: Only few trials have investigated the effects of SPC. To our knowledge DanPaCT is the first trial to investigate screening based 'early SPC' for patients with metastatic cancer from a broad spectrum of cancer diagnosis.TRIAL REGISTRATION: Clinicaltrials.gov identifier: NCT01348048 (May 2011).

U2 - 10.1186/1745-6215-15-376

DO - 10.1186/1745-6215-15-376

M3 - Journal article

C2 - 25257804

VL - 15

SP - 1

EP - 10

JO - Trials

JF - Trials

SN - 1745-6215

M1 - 376

ER -

ID: 125169371