Treatment algorithm for abdomino-torso body contouring in massive weight-loss patients in the presence of scars – a comprehensive review
Journal of Plastic, Reconstructive & Aesthetic Surgery, ISSN: 1748-6815, Vol: 64, Issue: 5, Page: 563-572
2011
- 7Citations
- 26Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations7
- Citation Indexes7
- CrossRef5
- Captures26
- Readers26
- 26
Review Description
Patients requiring surgical skin excision after massive weight loss are challenging and require a structured approach. The characteristic abdominal deformity includes a draping apron of panniculus, often extending to the glutaeal, back and thigh areas. Occasionally, these deformities are associated with previous surgical scars in the upper abdomen resulting from open gastric bypass surgery or from other procedures, such as open cholecystectomy. These scars can compromise the blood supply of the abdominal skin. For adequate and safe body contouring, both the excess skin and fat as well as the remaining perfusion of the remaining tissues must be addressed to achieve satisfactory results. We propose an algorithmic treatment approach for body contouring of the abdomino-torso area in the presence of scars in the upper abdomen. The key to satisfactory results is a thorough analysis of the horizontal and vertical skin and fat excess of the abdomino-torso, buttock and flank areas and choosing an adequate and safe procedure addressing the respective areas of skin and fat excess while preserving the blood supply of the abdomino-torso area in a scarred abdomen. Our algorithmic approach can help in achieving these goals. Our algorithmic approach enables the surgeon to perform safe abdomino-torso body contouring through a structured analysis of the fat and skin excess in the respective body areas even in the presence of surgical scars in the upper abdomen.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1748681510004249; http://dx.doi.org/10.1016/j.bjps.2010.07.014; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79954418524&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/20709613; https://linkinghub.elsevier.com/retrieve/pii/S1748681510004249; https://dx.doi.org/10.1016/j.bjps.2010.07.014
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know