Prompting Rigor in Database Reporting: Working Toward Higher-Quality Plastic Surgery Database Research

Affiliations

¹ Faculty of Medicine, Laval University, Quebec City, Quebec, Canada.
² Division of Plastic, Reconstructive, and Aesthetic Surgery, McGill University, Montreal, Quebec, Canada.
³ Division of Plastic Surgery, University of British Columbia, Vancouver, British Columbia, Canada.
⁴ Division of Plastic Surgery, Baylor College of Medicine, Houston, TX.
⁵ Division of Plastic Surgery, Mayo Clinic, Phoenix, AZ.

Editorial

Hong Hao Xu et al. Plast Reconstr Surg. 2024.

. 2024 May 1;153(5):1049e.

doi: 10.1097/PRS.0000000000011157. Epub 2023 Oct 24.

¹ Faculty of Medicine, Laval University, Quebec City, Quebec, Canada.
² Division of Plastic, Reconstructive, and Aesthetic Surgery, McGill University, Montreal, Quebec, Canada.
³ Division of Plastic Surgery, University of British Columbia, Vancouver, British Columbia, Canada.
⁴ Division of Plastic Surgery, Baylor College of Medicine, Houston, TX.
⁵ Division of Plastic Surgery, Mayo Clinic, Phoenix, AZ.

No abstract available

References

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1. Valente DS, Kaye AE, Simmons CJ, Zanella RK, Pannucci CJ. Leveraging the tracking operations and outcomes for plastic surgeons database for plastic surgery research: a “how-to” guide. Plast Reconstr Surg. 2021;148:735e–741e.
1. Veith J, Collier W, Simpson A, et al. A comparison of common plastic surgery operations using the NSQIP and TOPS databases. Plast Reconstr Surg Glob Open 2020;8:e2841.