The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Clinical efficacy and effectiveness of 3D printing: a systematic review
Open accessAbstract
Objective: To evaluate the clinical efficacy and effectiveness of using 3D printing to develop medical devices across all medical fields. Design: Systematic review compliant with Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Data sources: PubMed, Web of Science, OVID, IEEE Xplore and Google Scholar. Methods: A double-blinded review method was used to select all abstracts up to January 2017 that reported on clinical trials of a three-dimensional (3D)-printed medical device. The studies were ranked according to their level of evidence, divided into medical fields based on the International Classification of Diseases chapter divisions and categorised into whether they were used for preoperative planning, aiding surgery or therapy. The Downs and Black Quality Index critical appraisal tool was used to assess the quality of reporting, external validity, risk of bias, risk of confounding and power of each study. Results: Of the 3084 abstracts screened, 350 studies met the inclusion criteria. Oral and maxillofacial surgery contained 58.3% of studies, and 23.7% covered the musculoskeletal system. Only 21 studies were randomised controlled trials (RCTs), and all fitted within these two fields. The majority of RCTs were 3D-printed anatomical models for preoperative planning and guides for aiding surgery. The main benefits of these devices were decreased surgical operation times and increased surgical accuracy. Conclusions: All medical fields that assessed 3D-printed devices concluded that they were clinically effective. The fields that most rigorously assessed 3D-printed devices were oral and maxillofacial surgery and the musculoskeletal system, both of which concluded that the 3D-printed devices outperformed their conventional comparators. However, the efficacy and effectiveness of 3D-printed devices remain undetermined for the majority of medical fields. 3D-printed devices can play an important role in healthcare, but more rigorous and long-term assessments are needed to determine if 3D-printed devices are clinically relevant before they become part of standard clinical practice.
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Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.06.006 · Cited by 10,578
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020124 · Cited by 10,505
Downs, S. H., & Black, N. (1998) · Journal of Epidemiology and Community Health · doi:10.1136/jech.52.6.377 · Cited by 8,252
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · CHANCE · doi:10.1080/09332480.2005.10722754 · Cited by 4,702
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The Role of 3D Printing in Medical Applications: A State of the Art
Aimar, A., Palermo, A., & Innocenti, B. (2019) · Journal of Healthcare Engineering · doi:10.1155/2019/5340616 · Cited by 685
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DeStefano, V., Khan, S., & Tabada, A. (2020) · Engineered Regeneration · doi:10.1016/j.engreg.2020.08.002 · Cited by 547
The role of additive manufacturing for biomedical applications: A critical review
Kumar, R., Kumar, M., & Chohan, J. S. (2021) · Journal of Manufacturing Processes · doi:10.1016/j.jmapro.2021.02.022 · Cited by 367
Ballard, D. H., Mills, P., Duszak, R., Weisman, J. A., Rybicki, F. J., & Woodard, P. K. (2020) · Academic Radiology · doi:10.1016/j.acra.2019.08.011 · Cited by 294
Metadata
- Authors
- Diment, L. E., Thompson, M. S., & Bergmann, J. H. M.
- Venue
- BMJ Open
- Publisher
- BMJ
- Published
- 2017-12
- Volume
- 7
- Issue
- 12
- Pages
- e016891
- ISSN
- 2044-6055 (ISSN-L)
- OpenAlex
- W2777809677
- Cited by
- 220
- References
- 4
- FWCI
- 1.29
- Type
- journal article
- Language
- en
- Open access
- gold
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- Diment, L. E., Thompson, M. S., & Bergmann, J. H. M. (2017). Clinical efficacy and effectiveness of 3D printing: a systematic review. BMJ Open. https://doi.org/10.1136/bmjopen-2017-016891
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.