A Longatto-Filho

AA Slesser

AB Benson

BJ Shea

C Beaton

C Dromain

C Kim

C Liebig

D Moher

E Theodoratou

EM Poeschl

F Macias-Garcia

FA Haggar

FG Taylor

G Desolneux

GH Guyatt

GW Ha

H Yamauchi

HC van Wyk

HC Van Wyk

HQ Ying

I Taylor

IC Talbot

IJ Goossens-Beumer

J IntHout

J Peng

J Segelman

JP Higgins

JP Ioannidis

JP Ryuk

JW Huh

JY Choi

K Günther

K Hida

K Matsumoto

K Saso

L Belbasis

LA Duineveld

LA Renfro

LJ Mekenkamp

M Egger

M Riihimäki

MJ Grant

N Hoshino

N Hugen

N Knijn

N Miyoshi

NJ Smith

R DerSimonian

R Glynne-Jones

RK Ha

S Rekhraj

S Zakaria

SA Stacker

SL Bosch

T Greco

T Hu

V Bellou

V Valentini

W Van Gijn

X Guan

X Li

X Tian

X Wang

Y Sun

Y Tateishi

YQ Huang

English

Background: There is a clear need for systematic appraisal of models/factors predicting colorectal cancer (CRC) metastasis and recurrence because clinical decisions about adjuvant treatment are taken on the basis of such variables. Methods: We conducted an umbrella review of all systematic reviews of observational studies (with/without meta-analysis) that evaluated risk factors of CRC metastasis and recurrence. We also generated an updated synthesis of risk prediction models for CRC metastasis and recurrence. We cross-assessed individual risk factors and risk prediction models. Results: Thirty-four risk factors for CRC metastasis and 17 for recurrence were investigated. 12/34 and 4/17 risk factors with p&lt;0.05 were estimated to change the odds of the outcome at least 3-fold. Only one risk factor (vascular invasion for lymph node metastasis [LNM] in pT1 CRC) presented convincing evidence. We identified 24 CRC risk prediction models. Across 12 metastasis models, six out of 27 unique predictors were assessed in the umbrella review and four of them changed the odds of the outcome at least 3-fold. Across 12 recurrence models, five out of 25 unique predictors were assessed in the umbrella review and only one changed the odds of the outcome at least 3-fold. Conclusions: This study provides an in-depth evaluation and cross assessment of 51 risk factors and 24 prediction models. Our findings suggest that a minority of influential risk factors are employed in prediction models, which indicates the need for a more rigorous and systematic model construction process following evidence-based methods

Xu, Wei

He, Yazhou

Wang, Yuming

Li, Xue

Young , Jane

Ioannidis, John PA

Dunlop, Malcolm

Theodoratou, Evropi

Edinburgh Research Explorer

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

Crossref

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

https://www.research.ed.ac.uk/portal/files/146596066/Risk_factors_and_risk_prediction_models_for_colorectal_cancer_metastasis.pdf

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

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