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Korevaar, Daniël A.; Salameh, Jean-Paul; Vali, Yasaman; Cohen, Jérémie F.; McInnes, Matthew D. F.; Spijker, René; Bossuyt, Patrick M. – Research Synthesis Methods, 2020
Introduction: Many diagnostic accuracy studies are never reported in full in a peer-reviewed journal. Searching for unpublished studies may avoid bias due to selective publication, enrich the power of systematic reviews, and thereby help to reduce research waste. We assessed searching practices among recent systematic reviews of diagnostic…
Descriptors: Clinical Diagnosis, Accuracy, Research Reports, Bibliographic Databases
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Duddy, Claire; Roberts, Nia – Research Synthesis Methods, 2022
The approach to identifying evidence for inclusion in realist reviews differs from that used in 'traditional' systematic reviews. Guidance suggests that realist reviews should be inclusive of diverse data from a range of sources, gathered in iterative searching cycles. Saturation is prioritised over exhaustiveness. Supplementary techniques such as…
Descriptors: Primary Health Care, Search Strategies, Literature Reviews, Identification
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Speckemeier, Christian; Niemann, Anja; Wasem, Jürgen; Buchberger, Barbara; Neusser, Silke – Research Synthesis Methods, 2022
The aim of the present work was to identify published methodological guidance for rapid reviews (RRs) and to analyze the recommendations with regard to time-saving measures. A literature search was performed in PubMed and EMBASE in November 2020. In addition, a search based on Google Scholar and websites of governmental and non-governmental…
Descriptors: Health Services, Methods, Time Management, Research
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Noel-Storr, Anna; Gartlehner, Gerald; Dooley, Gordon; Persad, Emma; Nussbaumer-Streit, Barbara – Research Synthesis Methods, 2022
Background: Utilisation of crowdsourcing within evidence synthesis has increased over the last decade. Crowdsourcing platform Cochrane Crowd has engaged a global community of 22,000 people from 170 countries. The COVID-19 pandemic presented an opportunity to engage the community and keep up with the exponential output of COVID-19 research. Aims:…
Descriptors: COVID-19, Pandemics, Research, Electronic Publishing
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Lunny, Carole; Reid, Emma K.; Neelakant, Trish; Chen, Alyssa; Zhang, Jia He; Shinger, Gavindeep; Stevens, Adrienne; Tasnim, Sara; Sadeghipouya, Shadi; Adams, Stephen; Zheng, Yi Wen; Lin, Lester; Yang, Pei Hsuan; Dosanjh, Manpreet; Ngsee, Peter; Ellis, Ursula; Shea, Beverley J.; Wright, James M. – Research Synthesis Methods, 2022
Multiple 'overviews of reviews' conducted on the same topic ("overlapping overviews") represent a waste of research resources and can confuse clinicians making decisions amongst competing treatments. We aimed to assess the frequency and characteristics of overlapping overviews. MEDLINE, Epistemonikos and Cochrane Database of Systematic…
Descriptors: Taxonomy, Literature Reviews, Meta Analysis, Incidence
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Bougioukas, Konstantinos I.; Diakonidis, Theodoros; Mavromanoli, Anna C.; Haidich, Anna-Bettina – Research Synthesis Methods, 2023
An overview of reviews aims to collect, assess, and synthesize evidence from multiple systematic reviews (SRs) on a specific topic using rigorous and reproducible methods. An important methodological challenge in conducting an overview of reviews is the management of overlapping data due to the inclusion of the same primary studies in SRs. We…
Descriptors: Programming Languages, Open Source Technology, Evaluation Methods, Evidence
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Bashir, Rabia; Dunn, Adam G.; Surian, Didi – Research Synthesis Methods, 2021
Few data-driven approaches are available to estimate the risk of conclusion change in systematic review updates. We developed a rule-based approach to automatically extract information from reviews and updates to be used as features for modelling conclusion change risk. Rules were developed to extract relevant information from published Cochrane…
Descriptors: Literature Reviews, Data, Automation, Statistical Analysis
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Mayo-Wilson, Evan; Li, Tianjing; Fusco, Nicole; Dickersin, Kay – Research Synthesis Methods, 2018
Data for individual trials included in systematic reviews may be available in multiple sources. For example, a single trial might be reported in 2 journal articles and 3 conference abstracts. Because of differences across sources, source selection can influence the results of systematic reviews. We used our experience in the Multiple Data Sources…
Descriptors: Information Sources, Data Collection, Research Methodology, Meta Analysis
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Van der Mierden, Stevie; Spineli, Loukia Maria; Talbot, Steven R.; Yiannakou, Christina; Zentrich, Eva; Weegh, Nora; Struve, Birgitta; Zur Brügge, Talke Friederike; Bleich, André; Leenaars, Cathalijn H. C. – Research Synthesis Methods, 2021
Systematic reviews with meta-analyses are powerful tools that can answer research questions based on data from published studies. Ideally, all relevant data is directly available in the text or tables, but often it is only presented in graphs. In those cases, the data can be extracted from graphs, but this potentially introduces errors. Here, we…
Descriptors: Graphs, Meta Analysis, Data, Correlation
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Rombey, Tanja; Lochner, Valerie; Puljak, Livia; Könsgen, Nadja; Mathes, Tim; Pieper, Dawid – Research Synthesis Methods, 2020
Background: It is important that systematic reviews (SRs) are up-to-date, otherwise they cannot be relied upon to guide decision-making in practice and policy. Our aim was to investigate epidemiological, descriptive and reporting characteristics of a cross-section of recently published updates of SRs. Methods: A SR update was defined as a new…
Descriptors: Epidemiology, Decision Making, Case Studies, Research Reports
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Jap, Jens; Saldanha, Ian J.; Smith, Bryant T.; Lau, Joseph; Schmid, Christopher H.; Li, Tianjing – Research Synthesis Methods, 2019
Introduction: During systematic reviews, data abstraction is labor- and time-intensive and error-prone. Existing data abstraction systems do not track specific locations and contexts of abstracted information. To address this limitation, we developed a software application, the Data Abstraction Assistant (DAA) and surveyed early users about their…
Descriptors: Computer Software, Literature Reviews, Data Analysis, Usability
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Rogers, Morwenna; Bethel, Alison; Abbott, Rebecca – Research Synthesis Methods, 2018
Background: Qualitative research in dementia improves understanding of the experience of people affected by dementia. Searching databases for qualitative studies is problematic. Qualitative-specific search strategies might help with locating studies. Objective: To examine the effectiveness (sensitivity and precision) of 5 qualitative strategies on…
Descriptors: Dementia, Databases, Medical Research, Qualitative Research