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Predictors and Consequences of Cancer and Non-Cancer-Related Pain in Those Diagnosed with Primary and Metastatic Cancers

Objectives: The aims of the study were to (1) describe types of pain in cancer patients, (2) examine the predictors and consequences of pain, (3) investigate the association between type of pain and survival, and (4) examine potential biological mediators of pain and survival. Methods: This was a se...

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Autores principales: Shah, Kriti, Geller, David A., Tohme, Samer, Antoni, Michael, Kallem, Cramer J., Vodovotz, Yoram, Ramanathan, Rekha, Naveen, Raam, Geroni, MacKenzie, Devine, LaNita, Amin, Aarshati, Kiefer, Gauri J., Zandberg, Dan P., Reyes, Vincent, Steel, Jennifer L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605887/
https://www.ncbi.nlm.nih.gov/pubmed/37887537
http://dx.doi.org/10.3390/curroncol30100637
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author Shah, Kriti
Geller, David A.
Tohme, Samer
Antoni, Michael
Kallem, Cramer J.
Vodovotz, Yoram
Ramanathan, Rekha
Naveen, Raam
Geroni, MacKenzie
Devine, LaNita
Amin, Aarshati
Kiefer, Gauri J.
Zandberg, Dan P.
Reyes, Vincent
Steel, Jennifer L.
author_facet Shah, Kriti
Geller, David A.
Tohme, Samer
Antoni, Michael
Kallem, Cramer J.
Vodovotz, Yoram
Ramanathan, Rekha
Naveen, Raam
Geroni, MacKenzie
Devine, LaNita
Amin, Aarshati
Kiefer, Gauri J.
Zandberg, Dan P.
Reyes, Vincent
Steel, Jennifer L.
author_sort Shah, Kriti
collection PubMed
description Objectives: The aims of the study were to (1) describe types of pain in cancer patients, (2) examine the predictors and consequences of pain, (3) investigate the association between type of pain and survival, and (4) examine potential biological mediators of pain and survival. Methods: This was a secondary analysis of baseline data from patients diagnosed with cancer. Patients answered questionnaires that assessed sociodemographic characteristics, pain, depression, sleep, and fatigue. Blood was collected and cytokine assays were performed. Analysis of variance, Kaplan–Meier, and Cox regression survival analyses were used to test the aims. Results: Of the 779 patients diagnosed with cancer, the mean age was 63.5 years, 57.8% male, and 90.6% White. Of those who reported pain (total 70.3%), 46.5% stated their pain was cancer-related while 53.5% stated their pain was non-cancer-related. While both cancer and non-cancer-related pain was associated with depressive symptoms, fatigue, and sleep duration, those with cancer-related pain had significantly higher rates of depressive symptoms (F(1,516) = 21.217, p < 0.001) and fatigue (F(1,516) = 30.973, p < 0.001) but not poorer sleep (F(1,497) = 0.597, p = 0.440). After adjusting for sociodemographic, disease-related characteristics, depression, sleep duration, and morphine milligram equivalent, patient reports of cancer-related pain were significantly associated with poorer survival (HR = 0.646, 95% CI = 0.459–0.910, p = 0.012) compared to those with non-cancer-related pain, which was not associated with survival (HR = 1.022, 95% CI = 0.737–1.418, p = 0.896). Cytokines did not significantly mediate the link between pain and survival. Conclusion: While nearly half of the pain reported was cancer-related, both types of pain resulted in greater symptom burden, but only cancer-related pain was associated with survival.
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spelling pubmed-106058872023-10-28 Predictors and Consequences of Cancer and Non-Cancer-Related Pain in Those Diagnosed with Primary and Metastatic Cancers Shah, Kriti Geller, David A. Tohme, Samer Antoni, Michael Kallem, Cramer J. Vodovotz, Yoram Ramanathan, Rekha Naveen, Raam Geroni, MacKenzie Devine, LaNita Amin, Aarshati Kiefer, Gauri J. Zandberg, Dan P. Reyes, Vincent Steel, Jennifer L. Curr Oncol Article Objectives: The aims of the study were to (1) describe types of pain in cancer patients, (2) examine the predictors and consequences of pain, (3) investigate the association between type of pain and survival, and (4) examine potential biological mediators of pain and survival. Methods: This was a secondary analysis of baseline data from patients diagnosed with cancer. Patients answered questionnaires that assessed sociodemographic characteristics, pain, depression, sleep, and fatigue. Blood was collected and cytokine assays were performed. Analysis of variance, Kaplan–Meier, and Cox regression survival analyses were used to test the aims. Results: Of the 779 patients diagnosed with cancer, the mean age was 63.5 years, 57.8% male, and 90.6% White. Of those who reported pain (total 70.3%), 46.5% stated their pain was cancer-related while 53.5% stated their pain was non-cancer-related. While both cancer and non-cancer-related pain was associated with depressive symptoms, fatigue, and sleep duration, those with cancer-related pain had significantly higher rates of depressive symptoms (F(1,516) = 21.217, p < 0.001) and fatigue (F(1,516) = 30.973, p < 0.001) but not poorer sleep (F(1,497) = 0.597, p = 0.440). After adjusting for sociodemographic, disease-related characteristics, depression, sleep duration, and morphine milligram equivalent, patient reports of cancer-related pain were significantly associated with poorer survival (HR = 0.646, 95% CI = 0.459–0.910, p = 0.012) compared to those with non-cancer-related pain, which was not associated with survival (HR = 1.022, 95% CI = 0.737–1.418, p = 0.896). Cytokines did not significantly mediate the link between pain and survival. Conclusion: While nearly half of the pain reported was cancer-related, both types of pain resulted in greater symptom burden, but only cancer-related pain was associated with survival. MDPI 2023-09-27 /pmc/articles/PMC10605887/ /pubmed/37887537 http://dx.doi.org/10.3390/curroncol30100637 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shah, Kriti
Geller, David A.
Tohme, Samer
Antoni, Michael
Kallem, Cramer J.
Vodovotz, Yoram
Ramanathan, Rekha
Naveen, Raam
Geroni, MacKenzie
Devine, LaNita
Amin, Aarshati
Kiefer, Gauri J.
Zandberg, Dan P.
Reyes, Vincent
Steel, Jennifer L.
Predictors and Consequences of Cancer and Non-Cancer-Related Pain in Those Diagnosed with Primary and Metastatic Cancers
title Predictors and Consequences of Cancer and Non-Cancer-Related Pain in Those Diagnosed with Primary and Metastatic Cancers
title_full Predictors and Consequences of Cancer and Non-Cancer-Related Pain in Those Diagnosed with Primary and Metastatic Cancers
title_fullStr Predictors and Consequences of Cancer and Non-Cancer-Related Pain in Those Diagnosed with Primary and Metastatic Cancers
title_full_unstemmed Predictors and Consequences of Cancer and Non-Cancer-Related Pain in Those Diagnosed with Primary and Metastatic Cancers
title_short Predictors and Consequences of Cancer and Non-Cancer-Related Pain in Those Diagnosed with Primary and Metastatic Cancers
title_sort predictors and consequences of cancer and non-cancer-related pain in those diagnosed with primary and metastatic cancers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605887/
https://www.ncbi.nlm.nih.gov/pubmed/37887537
http://dx.doi.org/10.3390/curroncol30100637
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