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Table 3 Risk prediction models for CRC metastasis

From: Risk factors and risk prediction models for colorectal cancer metastasis and recurrence: an umbrella review of systematic reviews and meta-analyses of observational studies

Author, year

Country

Study design

Population

Outcome

Prediction time horizon

Sample size (development/validation)

Predictors

Model performance (95%CI)

Model presentation

Internal validation

*Macias-Garcia, 2015 [22]

Spain

D

Submucosal invasive (T1) CRC

Lymph node metastasis

NA

97

Sessile morphology

AUC 0.90 (0.81–0.99)

Risk score

NA

Tumor differentiation

Infiltrative growth pattern

Lymphoid infiltrate

Taylor, 1990 [23]

UK

D

CRC

Liver metastasis

10 years

134

Sex

Sensitivity 0.74, specificity 0.62

Formula

NA

ALP

Dukes B

Dukes C

Segelman, 2014 [24]

Sweden

D + IV

CRC (I–III)

Peritoneal metastasis

3 years

colon 5348/rectal 2696

Age

C statistic: colon 0.80, rectal 0.78; calibration plot

Calculator

Bootstrapping

Cancer location

pT stage

pN stage

No. of lymph nodes examined

Preoperative radiotherapy radicality

Type of surgery

Adjuvant chemotherapy

*Huang, 2016 [25]

China

D + IV

CRC

Lymph node metastasis

NA

266/60

Radiomics signature

C statistic 0.736 (0.759–0.766); Hosmer–Lemeshow test: p = 0.916

Nomogram

Random split

CEA

CT-reported LN status

*Hu, 2019 [26]

China

D + IV

CRC patients with indeterminate pulmonary nodules

Lung metastasis

NA

136/58

Chronicity (synchronous nodule or metachronous lesion)

AUC 0.929 (0.885–0.974); calibration plot

Nomogram

Random split

Rad-score

pN stage

*Xu, 2019 [27]

China

D + IV

CRC

Synchronous bone metastasis

NA

41,902/13,967

Cancer location

AUC 0.903; sensitivity 0.851; specificity 0.845

Risk score

Random split

Tumor differentiation

Cancer histological type

CEA

pN stage

Brain metastasis

Liver metastasis

Lung metastasis

*JR, 2019 [28]

Korea

D + EV

Submucosal invasive (T1) CRC

Lymph node metastasis

NA

833/722

Histologic grade

AUC 0.812 (0.770–0.855); Hosmer–Lemeshow test: p = 0.737

Nomogram

NA

Submucosal invasion

Vascular invasion

Tumor budding

Beumer, 2014 [29]

Netherlands

D + EV

CRC

Distant metastasis

5 years

50/43

MiR25/miR339

AUC 0.80 (0.67–0.93); calibration plot

Nomogram

NA

AJCC stage

Age at surgery

Sex

*Wang, 2017 [30]

China

D

Colon cancer

Peritoneal metastasis

NA

1417

Age

ROC 0.753

Nomogram

NA

pT stage

Lesion not traversable

Infiltrative growth pattern

Tumor size

CEA

Histopathologic type of mucinous or signet ring cell adenocarcinoma

Gijn, 2015 [31]

Netherlands

D + IV

Rectal cancer (tis–III)

Metastasis

5 years

2172

Distance from the anal verge

C statistic 0.761 (0.740–0.784); Hosmer–Lemeshow test: p = 0.82

Nomogram

Cross-validation

pT stage

pA stage

pN stage

Surgery type

Residual tumor status

Valentini, 2011 [32]

Belgium

D + EV

Rectal cancer (II–III)

Metastasis

5 years

3458

pT stage

External C statistic 0.73 (0.68–0.77); Wald statistic: p = 0.057

Nomogram

Random split

pN stage

Surgery type

Adjuvant chemotherapy

Sun, 2017 [33]

China

D + EV

Rectal cancer (I–III)

Distant metastasis

5 years

425/97

CRM

C statistic 0.70 (0.64–0.75)/0.71 (0.62–0.81); calibration plot

Nomogram

NA

IMA nodes

AJCC stage

  1. Reproduced from He et al. [21]
  2. Abbreviations: D model development, D + IV model development with internal validation, D + EV model development with external validation, AJCC American Joint Committee on Cancer, ALP alkaline phosphatase, AUC area under the curve, CEA carcinoembryonic antigen, CRC colorectal cancer, CRM circumferential resection margin, IMA inferior mesenteric artery, NA non-available, miRNA microRNA
  3. *Six recently developed prediction models were additionally included, and data was extracted based on the previous criteria