Literature DB >> 28119347

Advancing Symptom Science Through Symptom Cluster Research: Expert Panel Proceedings and Recommendations.

Christine Miaskowski1, Andrea Barsevick1, Ann Berger1, Rocco Casagrande1, Patricia A Grady1, Paul Jacobsen1, Jean Kutner1, Donald Patrick1, Lani Zimmerman1, Canhua Xiao1, Martha Matocha1, Sue Marden1.   

Abstract

An overview of proceedings, findings, and recommendations from the workshop on "Advancing Symptom Science Through Symptom Cluster Research" sponsored by the National Institute of Nursing Research (NINR) and the Office of Rare Diseases Research, National Center for Advancing Translational Sciences, is presented. This workshop engaged an expert panel in an evidenced-based discussion regarding the state of the science of symptom clusters in chronic conditions including cancer and other rare diseases. An interdisciplinary working group from the extramural research community representing nursing, medicine, oncology, psychology, and bioinformatics was convened at the National Institutes of Health. Based on expertise, members were divided into teams to address key areas: defining characteristics of symptom clusters, priority symptom clusters and underlying mechanisms, measurement issues, targeted interventions, and new analytic strategies. For each area, the evidence was synthesized, limitations and gaps identified, and recommendations for future research delineated. The majority of findings in each area were from studies of oncology patients. However, increasing evidence suggests that symptom clusters occur in patients with other chronic conditions (eg, pulmonary, cardiac, and end-stage renal disease). Nonetheless, symptom cluster research is extremely limited and scientists are just beginning to understand how to investigate symptom clusters by developing frameworks and new methods and approaches. With a focus on personalized care, an understanding of individual susceptibility to symptoms and whether a "driving" symptom exists that triggers other symptoms in the cluster is needed. Also, research aimed at identifying the mechanisms that underlie symptom clusters is essential to developing targeted interventions.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2017        PMID: 28119347      PMCID: PMC5939621          DOI: 10.1093/jnci/djw253

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  80 in total

Review 1.  Symptom clusters: myth or reality?

Authors:  Aynur Aktas; Declan Walsh; Lisa Rybicki
Journal:  Palliat Med       Date:  2010-06       Impact factor: 4.762

2.  Increasing stringency in symptom cluster research: a methodological exploration of symptom clusters in patients with inoperable lung cancer.

Authors:  Ingela Henoch; Alexander Ploner; Carol Tishelman
Journal:  Oncol Nurs Forum       Date:  2009-11       Impact factor: 2.172

Review 3.  Update on interventions focused on symptom clusters: what has been tried and what have we learned?

Authors:  Ann M Berger; Sriram Yennu; Rita Million
Journal:  Curr Opin Support Palliat Care       Date:  2013-03       Impact factor: 2.302

4.  Identification of Anxiety Symptom Clusters in Patients with COPD: Implications for Assessment and Treatment.

Authors:  Jessica Y Breland; Natalie E Hundt; Terri L Barrera; Joseph Mignogna; Nancy J Petersen; Melinda A Stanley; Jeffery A Cully
Journal:  Int J Behav Med       Date:  2015-10

Review 5.  Advancing the science of symptom management.

Authors:  M Dodd; S Janson; N Facione; J Faucett; E S Froelicher; J Humphreys; K Lee; C Miaskowski; K Puntillo; S Rankin; D Taylor
Journal:  J Adv Nurs       Date:  2001-03       Impact factor: 3.187

Review 6.  A "SMART" design for building individualized treatment sequences.

Authors:  H Lei; I Nahum-Shani; K Lynch; D Oslin; S A Murphy
Journal:  Annu Rev Clin Psychol       Date:  2011-12-12       Impact factor: 18.561

7.  A qualitative study investigating chemotherapy-induced nausea as a symptom cluster.

Authors:  Ian N Olver; Jaklin A Eliott; Bogda Koczwara
Journal:  Support Care Cancer       Date:  2014-05-08       Impact factor: 3.603

8.  Latent Class Analysis Reveals Distinct Subgroups of Patients Based on Symptom Occurrence and Demographic and Clinical Characteristics.

Authors:  Christine Miaskowski; Laura Dunn; Christine Ritchie; Steven M Paul; Bruce Cooper; Bradley E Aouizerat; Kimberly Alexander; Helen Skerman; Patsy Yates
Journal:  J Pain Symptom Manage       Date:  2015-01-31       Impact factor: 3.612

9.  The Memorial Symptom Assessment Scale: an instrument for the evaluation of symptom prevalence, characteristics and distress.

Authors:  R K Portenoy; H T Thaler; A B Kornblith; J M Lepore; H Friedlander-Klar; E Kiyasu; K Sobel; N Coyle; N Kemeny; L Norton
Journal:  Eur J Cancer       Date:  1994       Impact factor: 9.162

10.  Symptom burden clusters: a challenge for targeted symptom management. A longitudinal study examining symptom burden clusters in breast cancer.

Authors:  Elisabeth Kenne Sarenmalm; Maria Browall; Fannie Gaston-Johansson
Journal:  J Pain Symptom Manage       Date:  2013-08-03       Impact factor: 3.612

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  87 in total

1.  Nonmalignant Pain Symptom Subgroups in Nursing Home Residents.

Authors:  Christine M Ulbricht; Jacob N Hunnicutt; Giovanni Gambassi; Anne L Hume; Kate L Lapane
Journal:  J Pain Symptom Manage       Date:  2018-12-01       Impact factor: 3.612

2.  A Randomized, Placebo-Controlled, Double-Blind Study of Minocycline for Reducing the Symptom Burden Experienced by Patients With Advanced Pancreatic Cancer.

Authors:  Mona Kamal; Xin Shelley Wang; Qiuling Shi; Tito Mendoza; Araceli Garcia-Gonzalez; Raza H Bokhari; Charles S Cleeland; David R Fogelman
Journal:  J Pain Symptom Manage       Date:  2020-01-24       Impact factor: 3.612

3.  Identification of subgroups of chemotherapy patients with distinct sleep disturbance profiles and associated co-occurring symptoms.

Authors:  Maria Tejada; Carol Viele; Kord M Kober; Bruce A Cooper; Steven M Paul; Laura B Dunn; Marilyn J Hammer; Fay Wright; Yvette P Conley; Jon D Levine; Christine Miaskowski
Journal:  Sleep       Date:  2019-10-09       Impact factor: 5.849

Review 4.  Symptom Science: Advocating for Inclusion of Functional Genetic Polymorphisms.

Authors:  Mitchell R Knisely; Megan Maserati; Lacey W Heinsberg; Lisa L Shah; Hongjin Li; Yehui Zhu; Yumi Ma; Letitia Y Graves; John D Merriman; Yvette P Conley
Journal:  Biol Res Nurs       Date:  2019-04-25       Impact factor: 2.522

5.  Symptom Management: War Problems, Moonshot Solutions?

Authors:  Ann M Geiger
Journal:  J Natl Cancer Inst       Date:  2017-04-01       Impact factor: 13.506

6.  Breast Cancer Collaborative Registry informs understanding of factors predicting sleep quality.

Authors:  Ann M Berger; Kevin A Kupzyk; Dilorom M Djalilova; Kenneth H Cowan
Journal:  Support Care Cancer       Date:  2018-08-15       Impact factor: 3.603

7.  Stability of Symptom Clusters in Patients With Lung Cancer Receiving Chemotherapy.

Authors:  Jacquelyn Russell; Melisa L Wong; Lynda Mackin; Steven M Paul; Bruce A Cooper; Marilyn Hammer; Yvette P Conley; Fay Wright; Jon D Levine; Christine Miaskowski
Journal:  J Pain Symptom Manage       Date:  2019-02-13       Impact factor: 3.612

Review 8.  A review of the literature on symptom clusters in studies that included oncology patients receiving primary or adjuvant chemotherapy.

Authors:  Carmen Ward Sullivan; Heather Leutwyler; Laura B Dunn; Christine Miaskowski
Journal:  J Clin Nurs       Date:  2017-10-10       Impact factor: 3.036

9.  Congruence Between Latent Class and K-Modes Analyses in the Identification of Oncology Patients With Distinct Symptom Experiences.

Authors:  Nikoloas Papachristou; Payam Barnaghi; Bruce A Cooper; Xiao Hu; Roma Maguire; Kathi Apostolidis; Jo Armes; Yvette P Conley; Marilyn Hammer; Stylianos Katsaragakis; Kord M Kober; Jon D Levine; Lisa McCann; Elisabeth Patiraki; Steven M Paul; Emma Ream; Fay Wright; Christine Miaskowski
Journal:  J Pain Symptom Manage       Date:  2017-08-30       Impact factor: 3.612

10.  Identification of Distinct Latent Classes Related to Sleep, PTSD, Depression, and Anxiety in Individuals Diagnosed With Severe Alcohol Use Disorder.

Authors:  Gwenyth R Wallen; Jumin Park; Michael Krumlauf; Alyssa T Brooks
Journal:  Behav Sleep Med       Date:  2018-01-29       Impact factor: 2.964

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