Longitudinal Patient-Reported Performance Status Assessment in the Cancer Clinic Is Feasible and Prognostic

Suh, Sang-Yeon; LeBlanc, Thomas W.; Shelby, Rebecca A.; Samsa, Gregory P.; Abernethy, Amy Pickar

doi:10.1200/jop.2011.000434

Cited by 55 publications

(54 citation statements)

References 23 publications

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“…Despite the lack of a comparing standard of reference, there were significant correlations between the three selected external variables, particularly between ECOG and KPS, which is consistent to the correlation previously described by Suh SY, et al (r = − 0.81, p < 0.001), 42 indicating that these scales address factors that matter to a CGA in the oncology setting.…”

Section: Discussionsupporting

confidence: 87%

Development and psychometric validation of a brief comprehensive health status assessment scale in older patients with hematological malignancies: The GAH Scale

Bonanad¹,

Rubia²,

Gironella

et al. 2015

Journal of Geriatric Oncology

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Section: Discussionsupporting

confidence: 87%

Development and psychometric validation of a brief comprehensive health status assessment scale in older patients with hematological malignancies: The GAH Scale

Bonanad¹,

Rubia²,

Gironella

et al. 2015

Journal of Geriatric Oncology

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“…Interestingly, the new staging system has 5 size-based categories with cut-off points at 2, 3, 5 and 7 cm, which demonstrate significant differences in median survival in NSCLC patients [31]. Regarding the KPS score, it has been considered an independent risk factor for both quality of life and survival time in this population [32,33]. Based on our multifactorial variance model, the associations with tumour volume and KPS score suggest that the PA and the ECM/BCM ratio are not only indicators of nutritional status but are also hypermetabolic tumour markers.…”

Section: Discussionmentioning

confidence: 99%

Relationship between the Phase Angle and Volume of Tumours in Patients with Lung Cancer

Castanho¹,

Lopes²,

Koury

et al. 2012

Ann Nutr Metab

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Background/Aims: The phase angle (PA) obtained by bioelectrical impedance has been used as a predictor of nutritional status in cancer. This study aimed to verify the association between the PA and tumour volume in non-small cell lung cancer (NSCLC) patients. Methods: Volumetric determination of the tumour mass was performed using a computerised image analysis system incorporated in helical tomography. Lesion segmentation was performed by a semi-automatic process using a region growth algorithm with voxel aggregation. The PA was measured by bioelectrical impedance. Results: A total of 30 male patients with a mean age of 65.6 years were evaluated. The mean values observed for body mass index, PA and tumour volume were 22.5 ± 4.19, 5.66 ± 0.9° and 163.2 ± 207.5 ml, respectively. The tumour volumes were negatively correlated with the PA (r = –0.55; p < 0.001) and positively correlated with the ratio between the extracellular mass and the body cell mass (ECM/BCM) (r = 0.59; p < 0.001). In multivariate analysis, independent predictors for both PA and ECM/BCM were tumour volume and Karnofsky performance status score. Conclusions: In NSCLC, the PA is closely associated with tumour volume, which may be important in early nutritional intervention.

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“…Cella et al 12 summarized the possible benefits of using patient reported outcomes in clinical care as: assisting clinical providers in managing their patients care 16 : enhancing the efficiency of clinical practice 17,18; improving patient-provider communication 17,19; identifying patient needs in a timely manner 17,20 ; and facilitating patient-centered care 17 . All of these various points were mentioned independently by our study participants.…”

Section: Discussionmentioning

confidence: 99%

Why quality of life measurement is important in dermatology clinical practice

Finlay

Salek

Abeni

et al. 2016

Acad Dermatol Venereol

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The aim of this study was to describe the many ways in which quality of life (QoL) measurement may potentially be advantageous in routine clinical dermatology practice. Thirteen members of the EADV Task Force on Quality of Life, eight dermatologists, three health psychologists, one epidemiologist and one pharmacoepidemiologist, independently listed all of the ways they thought this may be advantageous. 108 different way of using QoL information in clinical practice were suggested (median per participant=8, range=4-15), and were classified into 20 descriptive groups. These were sorted into five categories: Inform clinical decisions, Clinician-patient communication, Awareness of skin disease burden, Informing the consultation and Clinical service administration. The wide range of potential benefits identified may encourage clinicians to use these measures but also highlights many areas requiring evidence to establish the true value of routine use of QoL measures.

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Longitudinal Patient-Reported Performance Status Assessment in the Cancer Clinic Is Feasible and Prognostic

Abstract: The enhanced resolution provided by patient-reported performance status, as measured by the Patient Care Monitor, allows for the detection of changes in trajectory over time, potentially serving as an early-warning system to trigger clinical interventions.

Cited by 55 publications

References 23 publications

Development and psychometric validation of a brief comprehensive health status assessment scale in older patients with hematological malignancies: The GAH Scale

Development and psychometric validation of a brief comprehensive health status assessment scale in older patients with hematological malignancies: The GAH Scale

Relationship between the Phase Angle and Volume of Tumours in Patients with Lung Cancer

Why quality of life measurement is important in dermatology clinical practice

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