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Table 6 Influential variables in predicting types of survival extracted from articles

From: Cervical cancer survival prediction by machine learning algorithms: a systematic review

Selected Features

OS (n)

DFS (n)

PFS (n)

FIGO Stage

5 [17, 20, 21, 23, 25]

4 [16, 21,22,23]

2 [19, 25]

Heart Rate

1 [25]

-

1 [25]

Laboratory test

1 [25]

-

1 [25]

Treatment type

3 [17, 21, 25]

1 [21]

2 [19, 25]

Race/ethnicity

2 [20, 25]

-

1 [25]

Hypertension

-

-

1 [25]

Histopathology

4 [19,20,21, 23]

5 [16, 21,22,23,24]

1 [25]

Age

3 [17, 20, 23]

3 [22,23,24]

1 [25]

Height

1 [20]

-

-

Tumor Size

3 [19, 21, 23]

3 [16, 21, 23]

-

Lymph Node metastasis

3 [19, 21, 23]

3 [22,23,24]

1 [19]

positive lymph node numbers

1 [23]

1 [23]

-

Lymph vascular space invasion

1 [23]

1 [23]

-

BMI

-

-

1 [25]

HPV

1 [20]

-

-

  1. BMI Body Mass Index, HPV Human Papillomavirus
  2. Table 6 description: From the entered articles, all variables that could reliably predict cervical cancer survival were retrieved, categorised, and then displayed according to the type of survival.