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Table 2 Factors of Prognostic Models

From: Prognostic models for survival predictions in advanced cancer patients: a systematic review and meta-analysis

Models

Objective Factors

Clinical Factors

Continuous

Categorical

Continuous

Categorical

Palliative Prognostic Index (PPI)

   

✓

Combination of initial palliative prognostic Index (PPI) and week 1 PPI

   

✓

PPI on discharge / PPI on admission for patients with acute concomitant disease

   

✓

Survival Prediction Score (SPS): 3-variable model

   

✓

Number of risk factors (NRF): 3-variable model

   

✓

A proposed prognostic 7-day survival formula

✓

  

✓

Recursive partitioning: 2-variable model

   

✓

Survival Prediction Score (SPS): 6-variable model

   

✓

Number of risk factors (NRF): 6-variable model

   

✓

Palliative Prognostic Score (PaP)

✓

  

✓

Modified Palliative Prognostic Score—Delirium (D-PaP)

✓

  

✓

Palliative Prognostic Score—Nomogram (PaP-Nomogram)

✓

  

✓

Cochin Risk Index Score (CRIS)

 

✓

 

✓

Palliative Performance Scale (PPS)

   

✓

Prognostic Scale for terminal hospitalized chinese cancer patients (8-variable)

   

✓

A graphic tool to estimate individualized survival curves (5-variable)

    

PRONOPALL score (4-variables)

   

✓

Objective Prognostic Score (OPS)

 

✓

 

✓

Imminent Mortality Predictor for Advanced Cancer (IMPAC)

✓

✓

✓

✓

Objective Prognostic Index for advanced cancer (OPI-AC) (7-days)

✓

   

Objective Prognostic Index for advanced cancer (OPI-AC) (14-days)

✓

   

Objective Prognostic Index for advanced cancer (OPI-AC) (30-days)

✓

   

Prognosis in Palliative Care study (PiPS-B14/56)

   

✓

Six adaptable prognosis prediction (SAP) model

✓

   

Nomogram based parameters to predict 90-days survival

 

✓

 

✓

Artificial Neural network for 30-days survival prediction

✓

 

✓

✓

Logistic regression for 30-days survival

✓

 

✓

✓

Prognostic model for advanced cancer (PRO-MAC)

✓

  

✓

Modified Barretos Prognostic Nomogram (BPN)—with laboratory values

✓

✓

 

✓

Modified Barretos Prognostic Nomogram (BPN)—without laboratory values

 

✓

 

✓

Machine learning (Gradient-boosted trees binary classifier)

✓

✓

✓

✓

Objective Palliative Prognostic Score

 

✓

 

✓

Clinical Model

 

✓

 

✓

Extended Model

 

✓

 

✓

Rothman Index

 

✓

 

✓

Supportive and Palliative Care Indicators Tool

 

✓

 

✓

Data mining techniques (random forest algorithms, support-vector machine algorithms, back-propagation neural network algorithms)

✓

✓

✓

✓

  1. 1. Please refer to the appendix for the full list of variables of included studies
  2. 2. Blank fields indicate that these variables were not utilized in the models
  3. KPS Karnofsky Performance Status, ECOG Eastern Cooperative Oncology Group (ECOG) Performance Status, 
  4. ESAS Edmonton Symptom Assessment System , AED Accident & Emergency Department, TNM Tumor, Node, Metastasis, PPS Palliative Performance Scale