Prognostic prediction models for clinical outcomes in patients diagnosed with visceral leishmaniasis: protocol for a systematic review

医学 梅德林 数据提取 协议(科学) 批判性评价 系统回顾 重症监护医学 预测建模 病理 替代医学 机器学习 政治学 计算机科学 法学
作者
James P. Wilson,Forhad Hossain Chowdhury,Shermarke Hassan,Eli Harriss,Fabiana Alves,Prabin Dahal,Kasia Stepniewska,Philippe J Guérin
出处
期刊:BMJ Open [BMJ]
卷期号:13 (10): e075597-e075597 被引量:1
标识
DOI:10.1136/bmjopen-2023-075597
摘要

Introduction Visceral leishmaniasis (VL) is a neglected tropical disease responsible for many thousands of preventable deaths each year. Symptomatic patients often struggle to access effective treatment, without which death is the norm. Risk prediction tools support clinical teams and policymakers in identifying high-risk patients who could benefit from more intensive management pathways. Investigators interested in using their clinical data for prognostic research should first identify currently available models that are candidates for validation and possible updating. Addressing these needs, we aim to identify, summarise and appraise the available models predicting clinical outcomes in VL patients. Methods and analysis We will include studies that have developed, validated or updated prognostic models predicting future clinical outcomes in patients diagnosed with VL. Systematic reviews and meta-analyses that include eligible studies are also considered for review. Conference abstracts and educational theses are excluded. Data extraction, appraisal and reporting will follow current methodological guidelines. Ovid Embase; Ovid MEDLINE; the Web of Science Core Collection, SciELO and LILACS are searched from database inception to 1 March 2023 using terms developed for the identification of prediction models, and with no language restriction. Screening, data extraction and risk of bias assessment will be performed in duplicate with discordance resolved by a third independent reviewer. Risk of bias will be assessed using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). Tables and figures will compare and contrast key model information, including source data, participants, model development and performance measures, and risk of bias. We will consider the strengths, limitations and clinical applicability of the identified models. Ethics and dissemination Ethics approval is not required for this review. The systematic review and all accompanying data will be submitted to an open-access journal. Findings will also be disseminated through the research group’s website ( www.iddo.org/research-themes/visceral-leishmaniasis ) and social media channels. PROSPERO registration number CRD42023417226.
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