Systematic Reviews
By Barbara A. Kitchenham. Diabetes Care, 2011
722 citations recorded by the source corpus.
During the past few years, I have become interested in evidence-based software engineering [5]. The evidence-based paradigm began in medicine and has totally revolutionised medical research [7]. It is now being adopted by a number of humancentered disciplines such as nursing, social policy, education etc. Although I have some reservations about whether software engineering can adopt fully the evidencebased paradigm, I am convinced that we should adopt certain aspects of the approach immediately. In particular, I believe we should adopt systematic review in place of ad hoc literature reviews, and recognise that a systematic review is a research method in its own right. Currently, all PhD students need to conduct a literature review as a part of their research but such reviews are seldom performed with the rigour now being required in other disciplines (including Information Systems Research, [6]). A systematic review is rigorous method of synthesising existing research related to a topic of interest. Quantitative meta-analysis is one form of systematic review, but it is not mandatory to provide a quantitative summary. Systematic reviews aim to provide a synthesis that is complete (with respect to defined criteria) and unbiased. Systematic reviews must be rigorous i.e. be conducted according to a well-defined procedure and open i.e. the research process must be reported in a manner is understandable to other researchers.
Subfields: Aerospace Engineering, Small Animals, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a47963030f70be75b3f72d7bae2d69104f291ad5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Abhijeet Ghadge
- Samir Dani
- Daniela Pedrosa
- John O'Sullivan
- Caroline Dominguez
- Ciaran McNally
- A. Ahern
- Roy S. Kalawsky
In Small Animals
- Abhijeet Ghadge
- Samir Dani
- Daniela Pedrosa
- John O'Sullivan
- Caroline Dominguez
- Ciaran McNally
- A. Ahern
- Roy S. Kalawsky
In Statistics and Probability
- Julian P. T. Higgins
- Thomas Lumley
- K. Rice
- Abhijeet Ghadge
- Samir Dani
- Daniela Pedrosa
- John O'Sullivan
- Caroline Dominguez
Citations in the corpus
- A re‐evaluation of fixed effect(s) meta‐analysis (2018, background): “same comparison of interventions (Higgins and Green, 2011), to estimates of correlation between two variables (Hunter and Schmidt, 2004), and to measures of the accuracy of a diagnostic test (Leeflang et al., 2008).”
- A literature review of critical thinking in engineering education (2019, positive): “The research methodology was structured in five phases following the work of Bennett et al. (2005) as depicted in Figure 1.”
- Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for the management of schizophrenia and related disorders (2016, background): “A metabotropic glutamate receptor agonist showed efficacy for both positive and negative symptoms of schizophrenia (Marsman et al., 2013; Patil et al., 2007b), but these outcomes were not replicated and the agent has been withdrawn.”
- Supply Chain Risk Management: Present and Future Scope (2012, positive): “SLR is needed to propose a future research agenda (Torgerson, 2003).”
- Characterising long COVID: a living systematic review (2021, positive): “14 15 We conducted a ‘living’ systematic review to provide frequently updated evidence on the symptoms and complications of long COVID.”