The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
GRADE Evidence to Decision (EtD) frameworks for adoption, adaptation, and de novo development of trustworthy recommendations: GRADE-ADOLOPMENT
Open accessAbstract
BACKGROUND: Guideline developers can: (1) adopt existing recommendations from others; (2) adapt existing recommendations to their own context; or (3) create recommendations de novo. Monetary and nonmonetary resources, credibility, maximization of uptake, as well as logical arguments should guide the choice of the approach and processes. OBJECTIVES: To describe a potentially efficient model for guideline production based on adoption, adaptation, and/or de novo development of recommendations utilizing the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Evidence to Decision (EtD) frameworks. STUDY DESIGN AND SETTING: We applied the model in a new national guideline program producing 22 practice guidelines. We searched for relevant evidence that informs the direction and strength of a recommendation. We then produced GRADE EtDs for guideline panels to develop recommendations. RESULTS: We produced a total of 80 EtD frameworks in approximately 4 months and 146 EtDs in approximately 6 months in two waves. Use of the EtD frameworks allowed panel members understand judgments of others about the criteria that bear on guideline recommendations and then make their own judgments about those criteria in a systematic approach. CONCLUSION: The "GRADE-ADOLOPMENT" approach to guideline production combines adoption, adaptation, and, as needed, de novo development of recommendations. If developers of guidelines follow EtD criteria more widely and make their work publically available, this approach should prove even more useful.
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GRADE guidelines: 1. Introduction—GRADE evidence profiles and summary of findings tables
Guyatt, G., Oxman, A. D., Akl, E. A., Kunz, R., Vist, G., Brozek, J., Norris, S., Falck-Ytter, Y., Glasziou, P., & deBeer, H. (2011) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2010.04.026 · Cited by 10,681
Self-citationGRADE guidelines: 5. Rating the quality of evidence—publication bias
Guyatt, G. H., Oxman, A. D., Montori, V., Vist, G., Kunz, R., Brozek, J., Alonso-Coello, P., Djulbegovic, B., Atkins, D., Falck-Ytter, Y., et al. (2011) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2011.01.011 · Cited by 1,819
Self-citationAlonso-Coello, P., Oxman, A. D., Moberg, J., Brignardello-Petersen, R., Akl, E. A., Davoli, M., Treweek, S., Mustafa, R. A., Vandvik, P. O., Meerpohl, J., et al. (2016) · BMJ · doi:10.1136/bmj.i2089 · Cited by 814
Self-citationGRADE guidelines: 13. Preparing Summary of Findings tables and evidence profiles—continuous outcomes
Guyatt, G. H., Thorlund, K., Oxman, A. D., Walter, S. D., Patrick, D., Furukawa, T. A., Johnston, B. C., Karanicolas, P., Akl, E. A., Vist, G., et al. (2013) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2012.08.001 · Cited by 772
Self-citationWhen and how to update systematic reviews: consensus and checklist
Garner, P., Hopewell, S., Chandler, J., MacLehose, H., Schünemann, H. J., Akl, E. A., Beyene, J., Chang, S., Churchill, R., Dearness, K., et al. (2016) · BMJ · doi:10.1136/bmj.i3507 · Cited by 426
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Self-citationSurviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock 2021.
Evans, L., Rhodes, A., Alhazzani, W., Antonelli, M., Coopersmith, C. M., French, C., Machado, F. R., Mcintyre, L., Ostermann, M., Prescott, H. C., et al. (2021) · Critical Care Medicine · doi:10.1097/ccm.0000000000005337 · Cited by 2,935
Self-citationAlhazzani, W., Møller, M. H., Arabi, Y. M., Loeb, M., Gong, M. N., Fan, E., Oczkowski, S., Levy, M. M., Derde, L., Dzierba, A., et al. (2020) · Intensive Care Medicine · doi:10.1007/s00134-020-06022-5 · Cited by 2,105
Self-citationTreatment of stage I–III periodontitis—The EFP S3 level clinical practice guideline
Sanz, M., Herrera, D., Kebschull, M., Chapple, I., Jepsen, S., Berglundh, T., Sculean, A., Tonetti, M. S., & Consultants, E. W. P. A. M. (2020) · Journal of Clinical Periodontology · doi:10.1111/jcpe.13290 · Cited by 1,934
Ortel, T. L., Neumann, I., Ageno, W., Beyth, R., Clark, N. P., Cuker, A., Hutten, B. A., Jaff, M. R., Manja, V., Schulman, S., et al. (2020) · Blood Advances · doi:10.1182/bloodadvances.2020001830 · Cited by 1,489
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Metadata
- Authors
- Schünemann, H. J., Wiercioch, W., Brozek, J., Etxeandia-Ikobaltzeta, I., Mustafa, R. A., Manja, V., Brignardello-Petersen, R., Neumann, I., Falavigna, M., Alhazzani, W., Santesso, N., Zhang, Y., Meerpohl, J. J., Morgan, R. L., Rochwerg, B., Darzi, A., Rojas, M. X., Carrasco-Labra, A., Adi, Y., AlRayees, Z., Riva, J., Bollig, C., Moore, A., Yepes-Nuñez, J. J., Cuello, C., Waziry, R., & Akl, E. A.
- Venue
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 81
- Pages
- 101-110
- ISSN
- 0895-4356 (ISSN-L)
- OpenAlex
- W2528915441
- Cited by
- 645
- References
- 5
- FWCI
- 24.18
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- CoChat. (2026). Citation check: GRADE Evidence to Decision (EtD) frameworks for adoption, adaptation, and de novo development of trustworthy recommendations: GRADE-ADOLOPMENT. https://app.cochat.ai/papers/10.1016/j.jclinepi.2016.09.009
- The paper
- Schünemann, H. J., Wiercioch, W., Brozek, J., Etxeandia-Ikobaltzeta, I., Mustafa, R. A., Manja, V., Brignardello-Petersen, R., Neumann, I., Falavigna, M., Alhazzani, W., Santesso, N., Zhang, Y., Meerpohl, J. J., Morgan, R. L., Rochwerg, B., Darzi, A., Rojas, M. X., Carrasco-Labra, A., Adi, Y., . . . Akl, E. A. (2017). GRADE Evidence to Decision (EtD) frameworks for adoption, adaptation, and de novo development of trustworthy recommendations: GRADE-ADOLOPMENT. Journal of Clinical Epidemiology. https://doi.org/10.1016/j.jclinepi.2016.09.009
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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.
