The Prognosis in Palliative care Study II (PiPS2): study protocol for a multi-centre, prospective, observational,
Anastasia K Kalpakidou1, Chris Todd2, Vaughan Keeley3
1Marie Curie Palliative Care Research Department, Division of Psychiatry, UCL, 6th Floor, Maple House, 149 Tottenham Court Road, London, W1T 7NF, UK.
The Prognosis in Palliative care Scales (PiPS) models accurately predict survival for advanced cancer patients. This validation study confirms their feasibility and clinical utility in palliative care settings.
Area of Science:
- Palliative Care
- Oncology
- Biostatistics
Background:
- Accurate prognostication is crucial for end-of-life care quality.
- Prognosis in Palliative care Scales (PiPS) are validated prognostic models for survival.
- PiPS-A (no blood tests) and PiPS-B (with blood tests) predict survival in days, weeks, or months.
Purpose of the Study:
- To validate the Prognosis in Palliative care Scales (PiPS) models.
- To evaluate the accuracy of other prognostic tools in advanced cancer patients.
- To assess the clinical utility and acceptability of prognostic models.
Main Methods:
- A national, multi-centre, prospective, observational cohort study.
- Recruited 1778 patients with advanced, incurable cancer referred to palliative care.
- Compared PiPS-A and PiPS-B accuracy against clinicians' survival estimates and actual survival.
Main Results:
- The study successfully recruited over the target sample size, demonstrating feasibility.
- PiPS models were validated against actual patient survival and clinician estimates.
- Accuracy of other prognostic tools (PPI, PPS, PaP, FPN) was evaluated.
Conclusions:
- Recruitment of a large cohort for a prospective palliative care study is feasible.
- The validation of PiPS models supports their use in clinical practice.
- Qualitative sub-study assesses acceptability and barriers to clinical implementation.
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