Prognosis Assessment in Advanced Cancer Patients
The prognosis for advanced cancer patients depends primarily on clinical prediction scales, performance status, cancer-associated cachexia symptoms, and specific biological markers, which together provide the most accurate prediction of survival. 1
Key Prognostic Indicators in Advanced Cancer
Clinical Prediction Scales
- Clinical Prediction of Survival (CPS) is a strong prognostic indicator and should be used as a primary assessment tool 1
- Performance status scales (such as ECOG or Karnofsky) are powerful predictors of outcomes and should be evaluated in all patients 1, 2
Physical Symptoms and Signs
- Cancer-associated cachexia syndrome (CACS) symptoms strongly correlate with shorter survival:
- Dyspnea (shortness of breath) is a significant negative prognostic indicator 1
- Delirium indicates poorer prognosis in advanced cancer patients 1
Biological Markers
- Leukocytosis (elevated white blood cell count) correlates with poorer outcomes 1
- Lymphocytopenia (low lymphocyte count) is a strong negative prognostic factor 1
- Elevated C-reactive protein levels indicate inflammation and poorer prognosis 1
Prognostic Assessment Approach
Evaluate clinical prediction scales:
Document key physical symptoms:
Obtain relevant laboratory values:
Ethical Considerations in Prognostication
- Prognostic tools should not impose additional burden on patients who are already suffering 1
- Prognostic information should be embedded in an open, flexible, patient-centered approach 1
- Patients have the right to be informed about their prognosis but also have the right to refuse this information 3
- Communication of prognosis should consider ethical, cultural, religious, and psychological factors 1
Communication of Prognosis
- Communicate prognosis when requested by the patient in a manner that avoids inflicting additional harm 1
- Recognize that approximately 70-90% of advanced cancer patients desire open and honest prognostic disclosure 3
- Be aware that about half of patients with advanced cancer have an inaccurate understanding of their illness, which can negatively impact decision-making 3
- Tailor communication to the patient's information preferences and emotional readiness 3, 4
Pitfalls to Avoid
- Avoid using prognostic tools that are time-consuming and take away from patient care 1
- Do not rely solely on a single prognostic factor; use multiple indicators for more accurate assessment 2
- Recognize that even the best prognostication will be inaccurate for a significant number of patients 1
- Avoid communication strategies that either leave no room for uncertainty or provide too much ambiguity, as both approaches frustrate patients and families 5
By following this structured approach to prognostication in advanced cancer patients, clinicians can provide more accurate survival estimates while maintaining a compassionate, patient-centered approach to care.