PMID- 30622070 OWN - NLM STAT- MEDLINE DCOM- 20190610 LR - 20190613 IS - 1873-6750 (Electronic) IS - 0160-4120 (Linking) VI - 123 DP - 2019 Feb TI - Low-calorie sweeteners and health outcomes: A demonstration of rapid evidence mapping (rEM). PG - 451-458 LID - S0160-4120(18)31646-5 [pii] LID - 10.1016/j.envint.2018.11.070 [doi] AB - BACKGROUND: "Evidence Mapping" is an emerging tool that is increasingly being used to systematically identify, review, organize, quantify, and summarize the literature. It can be used as an effective method for identifying well-studied topic areas relevant to a broad research question along with any important literature gaps. However, because the procedure can be significantly resource-intensive, approaches that can increase the speed and reproducibility of evidence mapping are in great demand. METHODS: We propose an alternative process called "rapid Evidence Mapping" (rEM) to map the scientific evidence in a time-efficient manner, while still utilizing rigorous, transparent and explicit methodological approaches. To illustrate its application, we have conducted a proof-of-concept case study on the topic of low-calorie sweeteners (LCS) with respect to human dietary exposures and health outcomes. During this process, we developed and made publicly available our study protocol, established a PECO (Participants, Exposure, Comparator, and Outcomes) statement, searched the literature, screened titles and abstracts to identify potentially relevant studies, and applied semi-automated machine learning approaches to tag and categorize the included articles. We created various visualizations including bubble plots and frequency tables to map the evidence and research gaps according to comparison type, population baseline health status, outcome group, and study sample size. We compared our results with a traditional evidence mapping of the same topic published in 2016 (Wang et al., 2016). RESULTS: We conducted an rEM of LCS, for which we identified 8122 records from a PubMed search (January 1, 1946-May 1, 2014) and then utilized machine learning (SWIFT-Active Screener) to prioritize relevant records. After screening 2267 (28%) of the total set of titles and abstracts to achieve 95% estimated recall, we ultimately included 297 relevant studies. Overall, our findings corroborated those of Wang et al. (2016) and identified that most studies were acute or short-term in healthy individuals, and studied the outcomes of appetite, energy sensing and body weight. We also identified a lack of studies assessing appetite and dietary intake related outcomes in people with diabetes. The rEM approach required approximately 100 person-hours conducted over 7 calendar months. CONCLUSION: Rapid Evidence Mapping is an expeditious approach based on rigorous methodology that can be used to quickly summarize the available body of evidence relevant to a research question, identify gaps in the literature to inform future research, and contextualize the design of a systematic review within the broader scientific literature, significantly reducing human effort while yielding results comparable to those from traditional methods. The potential time savings of this approach in comparison to the traditional evidence mapping process make it a potentially powerful tool for rapidly translating knowledge to inform science-based decision-making. CI - Copyright (c) 2018 Elsevier Ltd. All rights reserved. FAU - Lam, Juleen AU - Lam J AD - Sciome LLC, RTP, NC, United States of America; California State University, East Bay, Department of Health Sciences, Hayward, CA, United States of America. Electronic address: Juleen.Lam@sciome.com. FAU - Howard, Brian E AU - Howard BE AD - Sciome LLC, RTP, NC, United States of America. FAU - Thayer, Kristina AU - Thayer K AD - Integrated Risk Information System (IRIS) Division, National Center for Environmental Assessment, Environmental Protection Agency, Washington, DC, United States of America. FAU - Shah, Ruchir R AU - Shah RR AD - Sciome LLC, RTP, NC, United States of America. LA - eng PT - Journal Article PT - Review DEP - 20190105 PL - Netherlands TA - Environ Int JT - Environment international JID - 7807270 RN - 0 (Sweetening Agents) SB - IM MH - Body Weight MH - *Health Status MH - Humans MH - Reproducibility of Results MH - *Review Literature as Topic MH - *Sweetening Agents OTO - NOTNLM OT - Artificial sweeteners OT - Evidence map OT - Evidence-based methodology OT - Low calorie sweeteners OT - Rapid evidence mapping OT - Systematic review EDAT- 2019/01/10 06:00 MHDA- 2019/06/14 06:00 CRDT- 2019/01/10 06:00 PHST- 2018/07/25 00:00 [received] PHST- 2018/11/20 00:00 [revised] PHST- 2018/11/27 00:00 [accepted] PHST- 2019/01/10 06:00 [pubmed] PHST- 2019/06/14 06:00 [medline] PHST- 2019/01/10 06:00 [entrez] AID - S0160-4120(18)31646-5 [pii] AID - 10.1016/j.envint.2018.11.070 [doi] PST - ppublish SO - Environ Int. 2019 Feb;123:451-458. doi: 10.1016/j.envint.2018.11.070. Epub 2019 Jan 5.