Factors associated with cancer treatment delay: a protocol for a systematic review and meta-analysis
Introduction Treatment delays are significantly associated with increased mortality risk among adult cancer patients; however, factors associated with these delays have not been robustly evaluated. This review and meta-analysis will evaluate factors associated with treatment delays among patients wi...
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BMJ Publishing Group
2022-06-01
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Series: | BMJ Open |
Online Access: | https://bmjopen.bmj.com/content/12/6/e061121.full |
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author | Timothy P Hanna Elizabeth T Jacobs Kristin E Morrill Rogelio Robles-Morales Melissa Lopez-Pentecost Raigam J Martínez Portilla Ahlam A Saleh Meghan B Skiba Taylor S Riall Jessica D Austin Rachel Hirschey Lena Spotleson |
author_facet | Timothy P Hanna Elizabeth T Jacobs Kristin E Morrill Rogelio Robles-Morales Melissa Lopez-Pentecost Raigam J Martínez Portilla Ahlam A Saleh Meghan B Skiba Taylor S Riall Jessica D Austin Rachel Hirschey Lena Spotleson |
author_sort | Timothy P Hanna |
collection | DOAJ |
description | Introduction Treatment delays are significantly associated with increased mortality risk among adult cancer patients; however, factors associated with these delays have not been robustly evaluated. This review and meta-analysis will evaluate factors associated with treatment delays among patients with five common cancers.Methods and analysis Scientific databases including Ovid MEDLINE, Elsevier Embase, EBSCOhost CINAHL Plus Full Text, Elsevier Scopus and ProQuest Dissertations and Theses Global will be searched to identify relevant articles published between January 2000 and October 2021. Research articles published in the USA evaluating factors associated with treatment delay among breast, lung, prostate, cervical or colorectal adult cancer patients will be included. The primary outcome of the meta-analysis will be the pooled adjusted and unadjusted odds of treatment delay for patient, disease, provider and system-level factors defined according to specified time intervals. The secondary outcomes will be mean or median treatment delay for each cancer site according to first treatment and the influence of factors on the pooled mean treatment delay for each cancer site (via meta-regression analyses). Results from qualitative and mixed-methods studies will be narratively synthesised. Three reviewers will independently screen records generated from the search and two reviewers will independently extract data following a consensus agreement. Statistical heterogeneity will be assessed with a standard I2 test and funnel plots will be conducted to evaluate publication bias. Risk of bias will be assessed independently by two authors using validated tools according to the article’s study design.Ethics and dissemination Formal ethical approval is not required because the work is being carried out on publicly accessible studies. The findings of this review will be disseminated through a peer-reviewed scientific journal, academic conferences, social media, and key stakeholders.PROSPERO registration number CRD42021293131. |
format | Article |
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institution | Kabale University |
issn | 2044-6055 |
language | English |
publishDate | 2022-06-01 |
publisher | BMJ Publishing Group |
record_format | Article |
series | BMJ Open |
spelling | doaj-art-61808742dc6c453085ebffd58730e9e52025-01-24T09:05:09ZengBMJ Publishing GroupBMJ Open2044-60552022-06-0112610.1136/bmjopen-2022-061121Factors associated with cancer treatment delay: a protocol for a systematic review and meta-analysisTimothy P Hanna0Elizabeth T Jacobs1Kristin E Morrill2Rogelio Robles-Morales3Melissa Lopez-Pentecost4Raigam J Martínez Portilla5Ahlam A Saleh6Meghan B Skiba7Taylor S Riall8Jessica D Austin9Rachel Hirschey10Lena Spotleson11Cancer Care and Epidemiology, Queen’s Cancer Research Institute, Kingston, Ontario, CanadaThe University of Arizona Cancer Center - North Campus, Tucson, Arizona, USA4 Community and Systems Health Science Division, The University of Arizona College of Nursing, Tucson, Arizona, USADepartment of Clinical and Translational Sciences, The University of Arizona College of Medicine, Tucson, Arizona, USA5 Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida, USAIberoamerican Research Network in Obstetrics, Gynecology, and Translational Medicine, Mexico City, MexicoHealth Sciences Library, The University of Arizona, Tucson, Arizona, USADivision of Biobehavioral Health Science, The University of Arizona College of Nursing, Tucson, Arizona, USAThe University of Arizona Cancer Center - North Campus, Tucson, Arizona, USADepartment of Epidemiology, Mayo Clinic College of Medicine and Sciences, Scottsdale, Arizona, USAUniversity of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina, USAAmerican Cancer Society, Phoenix, Arizona, USAIntroduction Treatment delays are significantly associated with increased mortality risk among adult cancer patients; however, factors associated with these delays have not been robustly evaluated. This review and meta-analysis will evaluate factors associated with treatment delays among patients with five common cancers.Methods and analysis Scientific databases including Ovid MEDLINE, Elsevier Embase, EBSCOhost CINAHL Plus Full Text, Elsevier Scopus and ProQuest Dissertations and Theses Global will be searched to identify relevant articles published between January 2000 and October 2021. Research articles published in the USA evaluating factors associated with treatment delay among breast, lung, prostate, cervical or colorectal adult cancer patients will be included. The primary outcome of the meta-analysis will be the pooled adjusted and unadjusted odds of treatment delay for patient, disease, provider and system-level factors defined according to specified time intervals. The secondary outcomes will be mean or median treatment delay for each cancer site according to first treatment and the influence of factors on the pooled mean treatment delay for each cancer site (via meta-regression analyses). Results from qualitative and mixed-methods studies will be narratively synthesised. Three reviewers will independently screen records generated from the search and two reviewers will independently extract data following a consensus agreement. Statistical heterogeneity will be assessed with a standard I2 test and funnel plots will be conducted to evaluate publication bias. Risk of bias will be assessed independently by two authors using validated tools according to the article’s study design.Ethics and dissemination Formal ethical approval is not required because the work is being carried out on publicly accessible studies. The findings of this review will be disseminated through a peer-reviewed scientific journal, academic conferences, social media, and key stakeholders.PROSPERO registration number CRD42021293131.https://bmjopen.bmj.com/content/12/6/e061121.full |
spellingShingle | Timothy P Hanna Elizabeth T Jacobs Kristin E Morrill Rogelio Robles-Morales Melissa Lopez-Pentecost Raigam J Martínez Portilla Ahlam A Saleh Meghan B Skiba Taylor S Riall Jessica D Austin Rachel Hirschey Lena Spotleson Factors associated with cancer treatment delay: a protocol for a systematic review and meta-analysis BMJ Open |
title | Factors associated with cancer treatment delay: a protocol for a systematic review and meta-analysis |
title_full | Factors associated with cancer treatment delay: a protocol for a systematic review and meta-analysis |
title_fullStr | Factors associated with cancer treatment delay: a protocol for a systematic review and meta-analysis |
title_full_unstemmed | Factors associated with cancer treatment delay: a protocol for a systematic review and meta-analysis |
title_short | Factors associated with cancer treatment delay: a protocol for a systematic review and meta-analysis |
title_sort | factors associated with cancer treatment delay a protocol for a systematic review and meta analysis |
url | https://bmjopen.bmj.com/content/12/6/e061121.full |
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