Pain characteristics help to predict the analgesic efficacy of radiotherapy for the treatment of cancer pain

Rutten, E.H.J.M.; Crul, B.J.P.; Toorn, Peter-Paul G van der; Otten, Anke W.I; Dirksen, R.

doi:10.1016/s0304-3959(96)03253-8

Cited by 16 publications

(12 citation statements)

References 12 publications

(14 reference statements)

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“…Worst pain severity is also a predictive factor for responsiveness of patients with painful bone metastases to radiation. 36 Patients' emotional states measured by emotional well-being and anxiety also were important variables at immediate follow-up. This suggests that the patient's emotional state may contribute significantly in the perception of pain relief at follow-up.…”

Section: Discussionmentioning

confidence: 99%

Development of a Cancer Pain Prognostic Scale

Hwang

Chang

Fairclough

et al. 2002

Journal of Pain and Symptom Management

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The purpose of this study was to develop a Cancer Pain Prognostic Scale (CPPS) which could predict the likelihood of pain relief within 2 weeks for cancer patients with moderate to severe pain. Seventy-four (74) consecutive patients who presented with cancer-related pain were managed in accordance with the guidelines for pain management developed by the United States Agency for Health Care Policy and Research (AHCPR). Patients were followed weekly using the Brief Pain Inventory (BPI), and medications were recorded weekly for 3 weeks. Baseline scores from the Functional Assessment of Cancer Therapy (FACT-G), Mental Health Inventory (MHI), Karnofsky Performance Status (KPS), and Memorial Symptom Assessment Scale Short Form (MSAS-SF) at initial interview served as explanatory variables in a logistic regression model. Pain relief > or = 80% at the end of weeks 1 and 2 were used as outcomes in this model. From this analysis, we developed a predictive formula, the CPPS, which includes the worst pain severity, FACT-G emotional well being, daily opioid dose, and pain characteristics. The rule yields a numerical score that ranges from 0-17. Higher scores correspond to a higher probability of good pain relief. The CPPS has the potential to rapidly identify patients with poor pain prognosis. It can be used as a research tool to characterize pain in cancer patients.

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Section: Discussionmentioning

confidence: 99%

Development of a Cancer Pain Prognostic Scale

Hwang

Chang

Fairclough

et al. 2002

Journal of Pain and Symptom Management

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“…Bone pain with neuropathic features (shooting or radiating components) responds to radiation. 164,165 One set of guidelines proposes a single dose of 8 Gy for patients with bone metastases uncomplicated by fracture or epidural disease. 166 Hemibody radiation is the delivery of radiation to large segments of the body for patients with multifocal bone pain.…”

Section: Radiationmentioning

confidence: 99%

Update in Cancer Pain Syndromes

Chang

Janjan

Jain

et al. 2006

Journal of Palliative Medicine

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Cancer pain assessment and management are integral to palliative medicine. This paper reviews recent publications in the period 1999-2004 in the broad categories of epidemiology, pain assessment, nonpharmacologic approaches to cancer pain (radiation therapy, anesthetic blocks, palliative surgery and chemotherapy, complementary and alternative medicine), and in nociceptive pain, neuropathic pain, visceral pain, and bone pain.

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“…Approximately 50% of cancer patients will receive palliative RT during the course of their disease [1].…”

Section: Introductionmentioning

confidence: 99%

Continued success of the rapid response radiotherapy program: a review of 2004–2008

Sinclair

Mitera

et al. 2009

Support Care Cancer

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The number of patients referred to the RRRP from January 2004-July 2008 remains comparable to our previous report (1996-2003). The overall median interval from referral to consultation for the analysed time period was 4 days. Therefore, we are continuing to meet our goal of providing rapid access to palliative radiation treatment for symptomatic cancer patients. Further information relating to progression and advancements within the clinic aimed at improving our patients' quality of life are explored.

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Pain characteristics help to predict the analgesic efficacy of radiotherapy for the treatment of cancer pain

Cited by 16 publications

References 12 publications

Development of a Cancer Pain Prognostic Scale

Development of a Cancer Pain Prognostic Scale

Update in Cancer Pain Syndromes

Continued success of the rapid response radiotherapy program: a review of 2004–2008

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