2008
DOI: 10.1016/j.jpainsymman.2007.03.017
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Symptom Clusters and Relationships to Symptom Interference with Daily Life in Taiwanese Lung Cancer Patients

Abstract: The number one cause of cancer death in Taiwan is lung cancer. Of the few studies describing the experience of patients living with lung cancer, most use bivariate analyses to test associations between individual symptoms. Few have systematically investigated multiple symptoms. This prospective study was undertaken to explore the phenomenon of symptom distress, to investigate the presence of symptom clusters, and to examine the relationship of symptom clusters to symptom interference with daily life in Taiwane… Show more

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Cited by 76 publications
(111 citation statements)
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“…This result was similar to that from previous studies [16][17][18]. Concerning severity of symptoms, our result showed fatigue, dry mouth, and shortness of breath as the most severe, was similar to Semiha Akin 's [19] findings.…”
Section: Discussionsupporting
confidence: 92%
“…This result was similar to that from previous studies [16][17][18]. Concerning severity of symptoms, our result showed fatigue, dry mouth, and shortness of breath as the most severe, was similar to Semiha Akin 's [19] findings.…”
Section: Discussionsupporting
confidence: 92%
“…Five studies published between 1997 and 2009 reporting empirically determined symptom clusters associated with lung cancer were identified (Table 1) [21,[28][29][30][31]. The primary end point for three of the five studies was to identify symptom clusters [28][29][30].…”
Section: Resultsmentioning
confidence: 99%
“…12,13 Factor analysis, a similar technique, has also been used to identify different symptom clusters in lung cancer patients. 14,15 The utilization of these data reduction techniques in FN analysis can enable the identification of specific patient groups by narrowing the number of risk factors that clinically predicts FN in our local population. This will allow the tailoring of G-CSF therapies so that FN treatment can be further optimized in clinical practice.…”
Section: Introductionmentioning
confidence: 99%