University of Tasmania
Browse
148250 - models for predicting.pdf (381.56 kB)

Models for predicting venous thromboembolism in ambulatory patients with lung cancer: a systematic review protocol

Download (381.56 kB)
journal contribution
posted on 2023-05-21, 04:48 authored by Yan, A-R, Samarawickrema, I, Naunton, M, Gregory PetersonGregory Peterson, Yip, D, Mortazav, R

Introduction: Venous thromboembolism (VTE) is a common complication in patients with cancer and has a determining role in the disease prognosis. The risk is significantly increased with certain types of cancer, such as lung cancer. Partly due to difficulties in managing haemorrhage in outpatient settings, anticoagulant prophylaxis is only recommended for ambulatory patients at high risk of VTE. This requires a precise VTE risk assessment in individual patients. Although VTE risk assessment models have been developed and updated in recent years, there are conflicting reports on the effectiveness of such risk prediction models in patient management. The aim of this systematic review is to gain a better understanding of the available VTE risk assessment tools for ambulatory patients with lung cancer and compare their predictive performance.

Methods and analysis: A systematic review will be conducted using MEDLINE, Cochrane Library, CINAHL, Scopus and Web of Science databases from inception to 30 September 2021, to identify all reports published in English describing VTE risk prediction models which have included adult ambulatory patients with primary lung cancer for model development and/or validation. Two independent reviewers will conduct article screening, study selection, data extraction and quality assessment of the primary studies. Any disagreements will be referred to a third researcher to resolve. The included studies will be assessed for risk of bias and applicability. The Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies will be used for data extraction and appraisal. Data from similar studies will be used for meta-analysis to determine the incidence of VTE and the performance of the risk models.

History

Publication title

BMJ Open

Volume

11

Issue

12

Pagination

1-5

ISSN

2044-6055

Department/School

School of Pharmacy and Pharmacology

Publisher

BMJ Publishing Group Ltd.

Place of publication

United Kingdom

Rights statement

© Author(s) (or their employer(s)) 2021. Re-use permitted under the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.commercial re-use. See rights and permissions. Published by BMJ

Repository Status

  • Open

Socio-economic Objectives

Prevention of human diseases and conditions; Treatment of human diseases and conditions

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC