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Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study

The impact of psychosocial vulnerability on pain in the year following breast cancer diagnosis has been little studied. To identify a score of psychosocial vulnerability (cognitive, emotional, quality of life and precariousness parameters) as a predictor of a pain trajectory, we conducted an observa...

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Autores principales: Voute, Marion, Morel, Véronique, Joly, Dominique, Villatte, Christine, Martin, Elodie, Durando, Xavier, Pereira, Bruno, Pickering, Gisèle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356308/
https://www.ncbi.nlm.nih.gov/pubmed/32570868
http://dx.doi.org/10.3390/jcm9061907
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author Voute, Marion
Morel, Véronique
Joly, Dominique
Villatte, Christine
Martin, Elodie
Durando, Xavier
Pereira, Bruno
Pickering, Gisèle
author_facet Voute, Marion
Morel, Véronique
Joly, Dominique
Villatte, Christine
Martin, Elodie
Durando, Xavier
Pereira, Bruno
Pickering, Gisèle
author_sort Voute, Marion
collection PubMed
description The impact of psychosocial vulnerability on pain in the year following breast cancer diagnosis has been little studied. To identify a score of psychosocial vulnerability (cognitive, emotional, quality of life and precariousness parameters) as a predictor of a pain trajectory, we conducted an observational prospective study and included women with newly diagnosed breast cancer. One year follow-up with 3 visits (day of breast cancer diagnosis; 6 and 12 months) aimed to identify distinct pain-time trajectories. Baseline psychosocial vulnerability was characterized by z-score transformation, a higher score representing a more vulnerable patient. A total of 89 patients were included (59.3 ± 10.7 years). Two trajectories of pain were identified—“Transient Pain trajectory” (TP) (39/89 patients) and “Persistent Pain trajectory” (PP) (50/89). A significant difference of pain over time between trajectories (PP vs. TP at 6 months: 2.23 ± 0.23 vs. 0.27 ± 0.09, p < 0.001) was observed. Psychosocial vulnerability showed a large effect size (d, −0.82; 95% CI, −1.25 to −0.38; p < 0.001) and a higher score in “Persistent pain trajectory” (PP vs. TP: 0.12 ± 0.36 vs. −0.14 ± 0.26, p < 0.001). A predictive vulnerability marker of pain development is proposed and could be used at cancer diagnosis to orientate the care pathway of patients experiencing breast cancer.
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spelling pubmed-73563082020-07-31 Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study Voute, Marion Morel, Véronique Joly, Dominique Villatte, Christine Martin, Elodie Durando, Xavier Pereira, Bruno Pickering, Gisèle J Clin Med Article The impact of psychosocial vulnerability on pain in the year following breast cancer diagnosis has been little studied. To identify a score of psychosocial vulnerability (cognitive, emotional, quality of life and precariousness parameters) as a predictor of a pain trajectory, we conducted an observational prospective study and included women with newly diagnosed breast cancer. One year follow-up with 3 visits (day of breast cancer diagnosis; 6 and 12 months) aimed to identify distinct pain-time trajectories. Baseline psychosocial vulnerability was characterized by z-score transformation, a higher score representing a more vulnerable patient. A total of 89 patients were included (59.3 ± 10.7 years). Two trajectories of pain were identified—“Transient Pain trajectory” (TP) (39/89 patients) and “Persistent Pain trajectory” (PP) (50/89). A significant difference of pain over time between trajectories (PP vs. TP at 6 months: 2.23 ± 0.23 vs. 0.27 ± 0.09, p < 0.001) was observed. Psychosocial vulnerability showed a large effect size (d, −0.82; 95% CI, −1.25 to −0.38; p < 0.001) and a higher score in “Persistent pain trajectory” (PP vs. TP: 0.12 ± 0.36 vs. −0.14 ± 0.26, p < 0.001). A predictive vulnerability marker of pain development is proposed and could be used at cancer diagnosis to orientate the care pathway of patients experiencing breast cancer. MDPI 2020-06-18 /pmc/articles/PMC7356308/ /pubmed/32570868 http://dx.doi.org/10.3390/jcm9061907 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Voute, Marion
Morel, Véronique
Joly, Dominique
Villatte, Christine
Martin, Elodie
Durando, Xavier
Pereira, Bruno
Pickering, Gisèle
Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study
title Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study
title_full Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study
title_fullStr Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study
title_full_unstemmed Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study
title_short Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study
title_sort predicting pain trajectories in the one year following breast cancer diagnosis—an observational study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356308/
https://www.ncbi.nlm.nih.gov/pubmed/32570868
http://dx.doi.org/10.3390/jcm9061907
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