2016
DOI: 10.1136/bmjopen-2016-013175
|View full text |Cite
|
Sign up to set email alerts
|

Framing of research question using the PICOT format in randomised controlled trials of venous ulcer disease: a protocol for a systematic survey of the literature

Abstract: IntroductionAlthough venous ulcers have a great social and economic impact, there is a lack of evidence from randomised controlled trials (RCTs) to support appropriate management for this disease. Framing the research question using the Population; Intervention; Comparator; Outcome; Time frame (PICOT) format in RCTs can improve the quality of the research design.ObjectivesTo evaluate how the PICOT format is used to frame a research question in reports of RCTs of venous ulcer disease and to determine the factor… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
6
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 11 publications
(6 citation statements)
references
References 39 publications
0
6
0
Order By: Relevance
“…A Medical Subject Heading (MeSH) search strategy was constructed using criteria on the basis of a defined population, intervention, comparison, outcomes, and timing questions. 16 The population included human lymphoma tissues; IHC-based pathology informatics image analysis approaches for diagnosis defined the intervention; the comparison was with human pathologist-read approaches for diagnosis, when available; the outcomes were agreement and classification accuracy between image analysis and human pathologist approaches; and the period of evaluation was defined as at initial diagnosis. The MeSH search included the following search terms: “Image Analysis,” “Image Processing,” “Image Interpretation,” “Pathology,” “Computer-assisted Diagnosis,” “Computer-aided Classification,” and “Lymphoma,” with subsets such as “Lymphoma, Large B-Cell, Diffuse.”…”
Section: Methodsmentioning
confidence: 99%
“…A Medical Subject Heading (MeSH) search strategy was constructed using criteria on the basis of a defined population, intervention, comparison, outcomes, and timing questions. 16 The population included human lymphoma tissues; IHC-based pathology informatics image analysis approaches for diagnosis defined the intervention; the comparison was with human pathologist-read approaches for diagnosis, when available; the outcomes were agreement and classification accuracy between image analysis and human pathologist approaches; and the period of evaluation was defined as at initial diagnosis. The MeSH search included the following search terms: “Image Analysis,” “Image Processing,” “Image Interpretation,” “Pathology,” “Computer-assisted Diagnosis,” “Computer-aided Classification,” and “Lymphoma,” with subsets such as “Lymphoma, Large B-Cell, Diffuse.”…”
Section: Methodsmentioning
confidence: 99%
“…This time frame and database were chosen primarily based on feasibility considerations to allow enough sampling‐frame for the target sample size for this survey. The protocol for this study was published and details related to our search strategy and methods are reported elsewhere . Briefly, we included RCTs of a therapeutic intervention for VU, involving human subjects, and written in English.…”
Section: Methodsmentioning
confidence: 99%
“…As described in the protocol of this study, the PICOT score was computed as the sum of the 5 individual elements and ranged from 0 to 5, and the 95% CI was calculated by assuming a binomial distribution. We used Cohen's Kappa (κ) statistic to calculate chance‐adjusted interrater agreements.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…A search strategy with broad criteria was predefined to initially select articles. Based on the review questions, the terms were identified using Population; Intervention; Comparator; Outcome; Time frame (PICOT) (Abbade, Wang, Sriganesh, Mbuagbaw, & Thabane, 2016) to guide the generation of relevant keywords for searching and developing inclusion and exclusion criteria.…”
Section: Introductionmentioning
confidence: 99%