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Increased understanding of the constellation of symptoms referred to as breast implant illness is necessary to better address patient concerns, provide evidence-based care, and inform prospective patients about potential risks. The aim of this study was to reach consensus on the symptoms most frequently associated with breast implant illness, which will subsequently inform the development of a symptom severity scale.A literature search of peer-reviewed and gray literature was performed to identify a comprehensive list of symptoms associated with breast implant illness. This was followed by an online, three-round, modified Delphi survey where the list of symptoms was reviewed by an international panel to determine the top 20, 10, and five symptoms associated with breast implant illness. A virtual meeting of panelists was held to reach consensus on the symptoms to be included in a symptom severity scale.A total of 44 symptoms were identified through the literature search. The modified Delphi survey panel consisted of patient research partners [n = 9 (34.6 percent)], plastic surgeons [n = 10 (38.5 percent)], researchers [n = 6 (23.1 percent)], and a member of the U.S. Food and Drug Administration [n = 1 (3.8 percent)]. The response rates of round 1, 2, and 3 were 85, 96, and 100 percent, respectively. Consensus was reached on the top 19 and top six symptoms to be included in long and short forms of a symptom severity scale.There was a high level of agreement on the symptoms to be included in a symptom severity scale. The next steps include conducting in-depth qualitative interviews with women with these symptoms and breast implants to understand the experience and impact of these symptoms and develop the preliminary scale.

The authors investigated the methodological validity of plastic surgery randomized controlled trials that compared surgical interventions.An electronic search identified randomized controlled trials published between 2000 and 2013. Reviewers, independently and in duplicate, assessed manuscripts and performed data extraction. Methodological safeguards (randomization, allocation concealment, blinding, and incomplete outcome data) were examined using the Cochrane risk of bias tool. Regression analysis was used to identify trial characteristics associated with risk of bias.Of 1664 potentially eligible studies, 173 randomized controlled trials were included. Proper randomization and allocation concealment methods were described in 61 of 173 (35 percent) and 21 of 173 (12 percent), respectively. Outcome assessors were blinded in 58 of 173 (34 percent) trials, and patients were blinded in 45 of 173 (26 percent). Follow-up rates were high, with 99 of 173 (57 percent) randomized controlled trials appearing to have complete follow-up. An intention-to-treat analysis was used in 19 of 173 (11 percent) trials. One-third (58 of 173, 34 percent) did not state their primary outcomes. The most common type of primary outcome used was a symptom/quality of life, class III, outcome (73 of 173, 42 percent). Multinomial regression demonstrated trials reporting an a priori sample size as more likely to have a low risk of bias (p = 0.001).This article highlights methodological safeguards that plastic surgeons should consider when interpreting results of a surgical randomized controlled trial. Allocation concealment, outcome assessor blinding, and patient blinding were identified as areas of concern. Valid and reliable outcome measures are being used in plastic surgery. This analysis provides strong rationale for continued focus on the performance and reporting of clinical trials within our specialty.