Factors associated with cancer treatment delay: a protocol for a systematic review and meta-analysis.

Factors associated with cancer treatment delay: a protocol for a systematic review and meta-analysis.
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DOI:
10.1136/bmjopen-2022-061121
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发表时间:
2022-06-28
期刊:
影响因子:
2.9
通讯作者:
Hanna, Timothy P.
Hanna, Timothy P.
中科院分区:
医学3区
文献类型:
--
作者:
Morrill, Kristin E.;Robles-Morales, Rogelio;Lopez-Pentecost, Melissa;Martinez Portilla, Raigam J.;Saleh, Ahlam A.;Skiba, Meghan B.;Riall, Taylor S.;Austin, Jessica D.;Hirschey, Rachel;Jacobs, Elizabeth T.;Spotleson, Lena;Hanna, Timothy P.

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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. 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. 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. CRD42021293131.
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