Umbrella protocol: Systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failure
<p>Background:</p> Heart failure (HF) is a chronic and common condition with a rising prevalence, especially in the elderly. Morbidity and mortality rates in people with HF are similar to those with common forms of cancer. Clinical guidelines highlight the need for more detailed prognos...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
BioMed Central
2020
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| _version_ | 1797053606690553856 |
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| author | Vazquez Montes, M Debray, TPA Taylor, K Speich, B Jones, N Collins, G Hobbs, FDR Magriplis, E Maruri-Aguilar, H Moons, KGM Parissis, J Perera, R Roberts, N Taylor, C Kadoglou, NPE Trivella, M proBHF group |
| author_facet | Vazquez Montes, M Debray, TPA Taylor, K Speich, B Jones, N Collins, G Hobbs, FDR Magriplis, E Maruri-Aguilar, H Moons, KGM Parissis, J Perera, R Roberts, N Taylor, C Kadoglou, NPE Trivella, M proBHF group |
| author_sort | Vazquez Montes, M |
| collection | OXFORD |
| description | <p>Background:</p>
Heart failure (HF) is a chronic and common condition with a rising prevalence, especially in the elderly. Morbidity and mortality rates in people with HF are similar to those with common forms of cancer. Clinical guidelines highlight the need for more detailed prognostic information to optimize treatment and care planning for people with HF. Besides proven prognostic biomarkers and numerous newly developed prognostic models for HF clinical outcomes, no risk stratification models have been adequately established. Through a number of linked systematic reviews we aim to assess the quality of the existing models with biomarkers in HF and summarise the evidence they present.
<p>Methods:<p/>
We will search MEDLINE, EMBASE, Web of Science Core Collection, and the prognostic studies database maintained by the Cochrane Prognosis Methods Group combining sensitive published search filters, with no language restriction, from 1990 onwards. Independent pairs of reviewers will screen and extract data. Eligible studies will be those developing, validating or updating any prognostic model with biomarkers for clinical outcomes in adults with any type of HF. Data will be extracted using a piloted form that combines published good practice guidelines for critical appraisal, data extraction, and risk of bias assessment of prediction modelling studies. Missing information on predictive performance measures will be sought by contacting authors or estimated from available information when possible. If sufficient high quality and homogeneous data are available, we will meta-analyse the predictive performance of identified models. Sources of between-study heterogeneity will be explored through meta-regression using pre-defined study-level covariates. Results will be reported narratively if study quality is deemed to be low or if the between-study heterogeneity is high. Sensitivity analyses for risk of bias impact will be performed.
<p>Discussion:</p>
This project aims to appraise and summarize the methodological conduct and predictive performance of existing clinically homogeneous HF prognostic models in separate systematic reviews. |
| first_indexed | 2024-03-06T18:46:01Z |
| format | Journal article |
| id | oxford-uuid:0e889f38-c8fb-420b-b4b6-55e71c17699d |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T18:46:01Z |
| publishDate | 2020 |
| publisher | BioMed Central |
| record_format | dspace |
| spelling | oxford-uuid:0e889f38-c8fb-420b-b4b6-55e71c17699d2022-03-26T09:46:25ZUmbrella protocol: Systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failureJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:0e889f38-c8fb-420b-b4b6-55e71c17699dEnglishSymplectic ElementsBioMed Central2020Vazquez Montes, MDebray, TPATaylor, KSpeich, BJones, NCollins, GHobbs, FDRMagriplis, EMaruri-Aguilar, HMoons, KGMParissis, JPerera, RRoberts, NTaylor, CKadoglou, NPETrivella, MproBHF group<p>Background:</p> Heart failure (HF) is a chronic and common condition with a rising prevalence, especially in the elderly. Morbidity and mortality rates in people with HF are similar to those with common forms of cancer. Clinical guidelines highlight the need for more detailed prognostic information to optimize treatment and care planning for people with HF. Besides proven prognostic biomarkers and numerous newly developed prognostic models for HF clinical outcomes, no risk stratification models have been adequately established. Through a number of linked systematic reviews we aim to assess the quality of the existing models with biomarkers in HF and summarise the evidence they present. <p>Methods:<p/> We will search MEDLINE, EMBASE, Web of Science Core Collection, and the prognostic studies database maintained by the Cochrane Prognosis Methods Group combining sensitive published search filters, with no language restriction, from 1990 onwards. Independent pairs of reviewers will screen and extract data. Eligible studies will be those developing, validating or updating any prognostic model with biomarkers for clinical outcomes in adults with any type of HF. Data will be extracted using a piloted form that combines published good practice guidelines for critical appraisal, data extraction, and risk of bias assessment of prediction modelling studies. Missing information on predictive performance measures will be sought by contacting authors or estimated from available information when possible. If sufficient high quality and homogeneous data are available, we will meta-analyse the predictive performance of identified models. Sources of between-study heterogeneity will be explored through meta-regression using pre-defined study-level covariates. Results will be reported narratively if study quality is deemed to be low or if the between-study heterogeneity is high. Sensitivity analyses for risk of bias impact will be performed. <p>Discussion:</p> This project aims to appraise and summarize the methodological conduct and predictive performance of existing clinically homogeneous HF prognostic models in separate systematic reviews. |
| spellingShingle | Vazquez Montes, M Debray, TPA Taylor, K Speich, B Jones, N Collins, G Hobbs, FDR Magriplis, E Maruri-Aguilar, H Moons, KGM Parissis, J Perera, R Roberts, N Taylor, C Kadoglou, NPE Trivella, M proBHF group Umbrella protocol: Systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failure |
| title | Umbrella protocol: Systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failure |
| title_full | Umbrella protocol: Systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failure |
| title_fullStr | Umbrella protocol: Systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failure |
| title_full_unstemmed | Umbrella protocol: Systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failure |
| title_short | Umbrella protocol: Systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failure |
| title_sort | umbrella protocol systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failure |
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