Catherine H Cherwin1. 1. School of Nursing, University of Wisconsin-Madison, USA. chmartin@wisc.edu
Abstract
PURPOSE/ OBJECTIVES: To review how gastrointestinal (GI)symptoms are represented within symptom clusters in patients with cancer receiving chemotherapy. DATA SOURCES: MedLINE, PsycINFO, and CINAHL. DATA SYNTHESIS: Forty-two symptom clusters containing a GI component emerged. Only four clusters were replicated in different samples; 38 were unique clusters. Thirteen different symptom measurement tools were used across the studies. Nineteen different GI symptoms were measured; however, many chemotherapy- or cancer-related GI symptoms known to be present in this population were missing or underrepresented. Twenty-one of the studies reviewed identified a symptom cluster that was primarily (50% or greater) composed of GI symptoms. CONCLUSIONS: GI symptoms are prevalent in symptom clusters, but those clusters often are inconsistent. One explanation for this finding may be that current symptom measurement tools do not fully address GI symptoms commonly experienced by patients receiving chemotherapy. IMPLICATIONS FOR NURSING: Future research should focus on using a comprehensive symptom assessment tool in a homogenous sample of participants who are receiving chemotherapy. Improved measurement of GI symptoms will advance symptom cluster research, which could impact assessment of chemotherapy-related symptoms and development of interventions for symptom clusters.
PURPOSE/ OBJECTIVES: To review how gastrointestinal (GI)symptoms are represented within symptom clusters in patients with cancer receiving chemotherapy. DATA SOURCES: MedLINE, PsycINFO, and CINAHL. DATA SYNTHESIS: Forty-two symptom clusters containing a GI component emerged. Only four clusters were replicated in different samples; 38 were unique clusters. Thirteen different symptom measurement tools were used across the studies. Nineteen different GI symptoms were measured; however, many chemotherapy- or cancer-related GI symptoms known to be present in this population were missing or underrepresented. Twenty-one of the studies reviewed identified a symptom cluster that was primarily (50% or greater) composed of GI symptoms. CONCLUSIONS: GI symptoms are prevalent in symptom clusters, but those clusters often are inconsistent. One explanation for this finding may be that current symptom measurement tools do not fully address GI symptoms commonly experienced by patients receiving chemotherapy. IMPLICATIONS FOR NURSING: Future research should focus on using a comprehensive symptom assessment tool in a homogenous sample of participants who are receiving chemotherapy. Improved measurement of GI symptoms will advance symptom cluster research, which could impact assessment of chemotherapy-related symptoms and development of interventions for symptom clusters.
Authors: Xin Shelley Wang; Adriano V Laudico; Hong Guo; Tito R Mendoza; Maria Lourdes Matsuda; Victor D Yosuico; Edilberto P Fragante; Charles S Cleeland Journal: J Pain Symptom Manage Date: 2006-06 Impact factor: 3.612
Authors: Terri S Armstrong; Ibrahima Gning; Tito R Mendoza; Elizabeth Vera-Bolanos; Mark R Gilbert; Laurence D Rhines; Jeffrey S Weinberg; Gisela Sanchez-Williams; Victor Levin; Allen W Burton; Charles Cleeland Journal: J Neurosurg Spine Date: 2010-04
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
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: Rebecca Williamson Lewis; Karen E Effinger; Karen Wasilewski-Masker; Ann Mertens; Canhua Xiao Journal: Support Care Cancer Date: 2021-07-06 Impact factor: 3.603
Authors: Carolyn S Harris; Kord M Kober; Bruce Cooper; Yvette P Conley; Anand A Dhruva; Marilyn J Hammer; Steven Paul; Jon D Levine; Christine A Miaskowski Journal: Support Care Cancer Date: 2022-05-11 Impact factor: 3.603
Authors: Sriram Yennurajalingam; Jie S Willey; J Lynn Palmer; Julio Allo; Egidio Del Fabbro; Evan N Cohen; Sanda Tin; James M Reuben; Eduardo Bruera Journal: J Palliat Med Date: 2012-08-10 Impact factor: 2.947
Authors: Belle H de Rooij; Simone Oerlemans; Katrijn van Deun; Floortje Mols; Kelly M de Ligt; Olga Husson; Nicole P M Ezendam; Meeke Hoedjes; Lonneke V van de Poll-Franse; Dounya Schoormans Journal: Cancer Date: 2021-08-13 Impact factor: 6.921
Authors: Rami Archid; Wiebke Solass; Clemens Tempfer; Alfred Königsrainer; Michael Adolph; Marc A Reymond; Robert B Wilson Journal: Int J Mol Sci Date: 2019-10-31 Impact factor: 5.923