Literature DB >> 26936232

Duloxetine and escitalopram for hot flushes: efficacy and compliance in breast cancer survivors.

N Biglia1, V E Bounous1, T Susini2, S Pecchio1, L G Sgro1, V Tuninetti1, R Torta3.   

Abstract

Selective serotonin reuptake inhibitors (SSRI) and serotonin-norepinephrine reuptake inhibitors (SNRI) might be an effective treatment for hot flushes (HFs) in breast cancer survivors (BCSs). This study aims to compare the efficacy and tolerability of duloxetine (SNRI) versus escitalopram (SSRI) in reducing frequency and severity of HFs in BCSs and to assess the effect on depression. Thirty-four symptomatic BCSs with emotional impairment received randomly duloxetine 60 mg daily or escitalopram 20 mg daily for 12 weeks. Patients were asked to record in a diary HF frequency and severity at baseline and after 4 and 12 weeks of treatment. Depression was evaluated through validated questionnaires (Beck Depression Inventory and Montgomery Asberg Depression Rating Scale) at baseline and after 4 and 12 weeks of treatment. Both drugs showed a significant reduction of HF frequency and severity after 12 weeks of treatment with no significant difference between the two groups. A significant improvement in depression symptoms was observed at the end of the study period within both the groups, without difference between the two drugs. In conclusion, escitalopram and duloxetine are both effective treatment for the relief of HFs in BCSs, with similar beneficial effect. A significant improvement of depression was obtained with no major side effects.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  breast cancer; duloxetine; escitalopram; hot flushes; selective serotonin reuptake inhibitors; serotonin-norepinephrine reuptake inhibitors

Mesh:

Substances:

Year:  2016        PMID: 26936232     DOI: 10.1111/ecc.12484

Source DB:  PubMed          Journal:  Eur J Cancer Care (Engl)        ISSN: 0961-5423            Impact factor:   2.520


  4 in total

1.  Comparing Interventions for Management of Hot Flashes in Patients With Breast and Prostate Cancer: A Systematic Review With Meta-Analyses.

Authors:  Brian Hutton; Mona Hersi; Wei Cheng; Misty Pratt; Pauline Barbeau; Sasha Mazzarello; Nadera Ahmadzai; Becky Skidmore; Scott C Morgan; Louise Bordeleau; Pamela K Ginex; Behnam Sadeghirad; Rebecca L Morgan; Katherine Marie Cole; Mark Clemons
Journal:  Oncol Nurs Forum       Date:  2020-07-01       Impact factor: 2.172

2.  Survivorship, Version 2.2017, NCCN Clinical Practice Guidelines in Oncology.

Authors:  Crystal S Denlinger; Tara Sanft; K Scott Baker; Shrujal Baxi; Gregory Broderick; Wendy Demark-Wahnefried; Debra L Friedman; Mindy Goldman; Melissa Hudson; Nazanin Khakpour; Allison King; Divya Koura; Elizabeth Kvale; Robin M Lally; Terry S Langbaum; Michelle Melisko; Jose G Montoya; Kathi Mooney; Javid J Moslehi; Tracey O'Connor; Linda Overholser; Electra D Paskett; Jeffrey Peppercorn; M Alma Rodriguez; Kathryn J Ruddy; Paula Silverman; Sophia Smith; Karen L Syrjala; Amye Tevaarwerk; Susan G Urba; Mark T Wakabayashi; Phyllis Zee; Deborah A Freedman-Cass; Nicole R McMillian
Journal:  J Natl Compr Canc Netw       Date:  2017-09       Impact factor: 11.908

Review 3.  Anxiety and Depression in Cancer Survivors.

Authors:  Jean C Yi; Karen L Syrjala
Journal:  Med Clin North Am       Date:  2017-08-18       Impact factor: 5.456

4.  Using machine learning to predict individual patient toxicities from cancer treatments.

Authors:  Katherine Marie Cole; Mark Clemons; Sharon McGee; Mashari Alzahrani; Gail Larocque; Fiona MacDonald; Michelle Liu; Gregory R Pond; Lucy Mosquera; Lisa Vandermeer; Brian Hutton; Ardelle Piper; Ricardo Fernandes; Khaled El Emam
Journal:  Support Care Cancer       Date:  2022-05-25       Impact factor: 3.359

  4 in total

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