OBJECTIVE: To provide a review of literature reporting empirically determined symptom clusters in lung cancer patients. METHOD: We conducted a literature search on symptom clusters in lung cancer patients using MEDLINE, EMBASE and CINAHL. Studies examining the presence of predetermined clusters were excluded. The five relevant studies identified were published between 1997 and 2009. RESULTS: Overall, the five studies reported significantly diverse findings with regards to symptom cluster quantity and composition in lung cancer patients. The number of symptom clusters extracted varied from one to four per study. The number of symptoms in a cluster ranged from two to 11. The only cluster that was consistently identified in two studies was composed of nausea and vomiting symptoms. Respiratory clusters identified in two studies were also comparable, containing both dyspnea and cough, among other symptoms. Methodological disparities, including differences in sample population characteristics, assessment tools and analytical methods, were evident in the five studies reviewed. CONCLUSION: Symptom cluster exploration is a developing area of research in the oncology field and is promising in providing insights into diagnosis, prognostication and symptom management. Disparities in methodology are significant barriers to producing comparable results. These inconsistencies result in a lack of consensus in symptom clusters in lung cancer populations, thus impeding the determination of clinically relevant findings.
OBJECTIVE: To provide a review of literature reporting empirically determined symptom clusters in lung cancerpatients. METHOD: We conducted a literature search on symptom clusters in lung cancerpatients using MEDLINE, EMBASE and CINAHL. Studies examining the presence of predetermined clusters were excluded. The five relevant studies identified were published between 1997 and 2009. RESULTS: Overall, the five studies reported significantly diverse findings with regards to symptom cluster quantity and composition in lung cancerpatients. The number of symptom clusters extracted varied from one to four per study. The number of symptoms in a cluster ranged from two to 11. The only cluster that was consistently identified in two studies was composed of nausea and vomiting symptoms. Respiratory clusters identified in two studies were also comparable, containing both dyspnea and cough, among other symptoms. Methodological disparities, including differences in sample population characteristics, assessment tools and analytical methods, were evident in the five studies reviewed. CONCLUSION: Symptom cluster exploration is a developing area of research in the oncology field and is promising in providing insights into diagnosis, prognostication and symptom management. Disparities in methodology are significant barriers to producing comparable results. These inconsistencies result in a lack of consensus in symptom clusters in lung cancer populations, thus impeding the determination of clinically relevant findings.
Authors: Christine Miaskowski; Andrea Barsevick; Ann Berger; Rocco Casagrande; Patricia A Grady; Paul Jacobsen; Jean Kutner; Donald Patrick; Lani Zimmerman; Canhua Xiao; Martha Matocha; Sue Marden Journal: J Natl Cancer Inst Date: 2017-01-24 Impact factor: 13.506
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
Authors: Melisa L Wong; Bruce A Cooper; Steven M Paul; Jon D Levine; Yvette P Conley; Fay Wright; Marilyn Hammer; Christine Miaskowski Journal: J Pain Symptom Manage Date: 2017-05-19 Impact factor: 3.612
Authors: Thomas W LeBlanc; Myles Nickolich; Christel N Rushing; Gregory P Samsa; Susan C Locke; Amy P Abernethy Journal: Support Care Cancer Date: 2015-03-21 Impact factor: 3.603
Authors: Asha Mathew; Amit Jiwan Tirkey; Hongjin Li; Alana Steffen; Mark B Lockwood; Crystal L Patil; Ardith Z Doorenbos Journal: Semin Oncol Nurs Date: 2021-09-03 Impact factor: 3.527
Authors: Xing Chen; Ivan P Gorlov; Jun Ying; Kelly W Merriman; Marek Kimmel; Charles Lu; Cielito C Reyes-Gibby; Olga Y Gorlova Journal: PLoS One Date: 2012-03-07 Impact factor: 3.240
Authors: J Shannon Swan; Inga T Lennes; Natalie N Stump; Jennifer S Temel; David Wang; Lisa Keller; Karen Donelan Journal: MDM Policy Pract Date: 2018-10-15