Literature DB >> 21127413

Estimating the probability of lymphedema after breast cancer surgery.

Atilla Soran1, Wen-Chi Wu, Abuzer Dirican, Ronald Johnson, Oya Andacoglu, John Wilson.   

Abstract

OBJECTIVES: Lymphedema is a common complication of breast cancer surgery, leading to a decreased quality of life. The risk and severity of lymphedema were associated with surgery side upper extremity infection, ≥25 kg/m(2) body mass index (BMI), and the level of hand use (LHU). Our aim was to estimate the probability of lymphedema after breast cancer surgery by using previously published incidence rates and these 3 risk factors.
METHODS: The design was a n:m matched case control study; data were analyzed on 51 patients with lymphedema and 126 available controls matched on age, radiation therapy, and operation type. In conjunction with published estimates of lymphedema, incidence rates, and estimates of the proportions of risk factor combinations in cases and controls, the Bayes' theorem was used to estimate the probability of developing lymphedema.
RESULTS: Lymphedema probabilities of 7 combinations for 6 different published calculations were used. With the assumption of 16% LE incidence rate of lymphedema, a BMI<25, no infection, and a low LHU, the estimated probability of lymphedema was 6.8%. With the assumption of 46.3% LE incidence a BMI ≥25, infection, and a high LHU led to an estimated lymphedema probability of 93.7%.
CONCLUSIONS: This study shows that control of predisposing factors in both high and low incidence rates has a marked effect on the probability of LE development. In other words, patients with low incidence for LE are more prone to develop LE if the predisposing factors are controlled poorly compared to the high incidence patients whom the predisposing factors are avoided.

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Year:  2011        PMID: 21127413     DOI: 10.1097/COC.0b013e3181f47955

Source DB:  PubMed          Journal:  Am J Clin Oncol        ISSN: 0277-3732            Impact factor:   2.339


  9 in total

1.  Contrast-enhanced sonography for detection of secondary lymph nodes in a melanoma tumor animal model.

Authors:  Ji-Bin Liu; Daniel A Merton; Adam C Berger; Flemming Forsberg; Agnieszka Witkiewicz; Hongjia Zhao; John R Eisenbrey; Traci B Fox; Barry B Goldberg
Journal:  J Ultrasound Med       Date:  2014-06       Impact factor: 2.153

2.  Comparison of relative versus absolute arm size change as criteria for quantifying breast cancer-related lymphedema: the flaws in current studies and need for universal methodology.

Authors:  Marek Ancukiewicz; Cynthia L Miller; Melissa N Skolny; Jean O'Toole; Laura E Warren; Lauren S Jammallo; Michelle C Specht; Alphonse G Taghian
Journal:  Breast Cancer Res Treat       Date:  2012-06-19       Impact factor: 4.872

Review 3.  The two major epidemics of the twenty-first century: obesity and cancer.

Authors:  Orit Kaidar-Person; Gil Bar-Sela; Benjamin Person
Journal:  Obes Surg       Date:  2011-11       Impact factor: 4.129

Review 4.  Lymphedema following treatment for breast cancer: a new approach to an old problem.

Authors:  Jean O'Toole; Lauren S Jammallo; Melissa N Skolny; Cynthia L Miller; Krista Elliott; Michelle C Specht; Alphonse G Taghian
Journal:  Crit Rev Oncol Hematol       Date:  2013-06-16       Impact factor: 6.312

5.  Prevalence of lymphedema in women undergoing treatment for breast cancer in a referral center in southeastern Brazil.

Authors:  Daniella M F Paiva; Vivian O Rodrigues; Marcelle G Cesca; Pamella V Palma; Isabel C G Leite
Journal:  BMC Womens Health       Date:  2013-02-13       Impact factor: 2.809

6.  Defining a threshold for intervention in breast cancer-related lymphedema: what level of arm volume increase predicts progression?

Authors:  Michelle C Specht; Cynthia L Miller; Tara A Russell; Nora Horick; Melissa N Skolny; Jean A O'Toole; Lauren S Jammallo; Andrzej Niemierko; Betro T Sadek; Mina N Shenouda; Dianne M Finkelstein; Barbara L Smith; Alphonse G Taghian
Journal:  Breast Cancer Res Treat       Date:  2013-08-04       Impact factor: 4.872

7.  Impact of Ipsilateral Blood Draws, Injections, Blood Pressure Measurements, and Air Travel on the Risk of Lymphedema for Patients Treated for Breast Cancer.

Authors:  Chantal M Ferguson; Meyha N Swaroop; Nora Horick; Melissa N Skolny; Cynthia L Miller; Lauren S Jammallo; Cheryl Brunelle; Jean A O'Toole; Laura Salama; Michelle C Specht; Alphonse G Taghian
Journal:  J Clin Oncol       Date:  2015-12-07       Impact factor: 44.544

8.  Breast cancer-related lymphedema after axillary lymph node dissection: does early postoperative prediction model work?

Authors:  Atilla Soran; Ebru Menekse; Mark Girgis; Lori DeGore; Ronald Johnson
Journal:  Support Care Cancer       Date:  2015-09-09       Impact factor: 3.603

9.  Lymphatic abnormalities in the normal contralateral arms of subjects with breast cancer-related lymphedema as assessed by near-infrared fluorescent imaging.

Authors:  Melissa B Aldrich; Renie Guilliod; Caroline E Fife; Erik A Maus; Latisha Smith; John C Rasmussen; Eva M Sevick-Muraca
Journal:  Biomed Opt Express       Date:  2012-05-03       Impact factor: 3.732

  9 in total

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