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Pancreatic Cancer and Depression: A Narrative Review.

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Title: Pancreatic Cancer and Depression: A Narrative Review.
Authors: Miloyan, Beyon, Bulley, Adam, Bandeen-Roche, Karen, Eaton, William, Gonçalves-Bradley, Daniela, Eaton, William W (AUTHOR), Gonçalves-Bradley, Daniela C (AUTHOR), Parker, Gordon (AUTHOR), Brotchie, Heather (AUTHOR)
Source: Social Psychiatry & Psychiatric Epidemiology. Nov2016, Vol. 51 Issue 11, p1467-1475. 9p.
Subjects: Anxiety disorders, Diagnosis of mental depression, Comorbidity, Systematic reviews, Meta-analysis, Cohort analysis, Mental depression, Pancreatic tumors, Disease complications
Abstract: Depression is a common concomitant of pancreatic cancer, and, because it often occurs before the cancer is diagnosed, its occurrence is likely to be intrinsic to the condition rather than a reaction to such a diagnosis. Because pancreatic cancer is associated with a very high mortality, its early detection is a key task. We therefore review relevant literature to determine whether the depression is prototypically distinctive and whether its identification might lead to earlier diagnosis of pancreatic cancer. We report on the epidemiology and prognosis of pancreatic cancer and on the prevalence, description, and possible mechanisms involved for the occurrence of any associated depressive state, before reviewing the comparative utility of depression in relation to other risk factors in aiding diagnosis. Published studies fail to identify any distinct depressive prototypic phenotype to depression associated with pancreatic cancer. Although it is a relatively common concomitant of pancreatic cancer, the utility of depression as a marker of the condition is not suggested from a key study evaluating its contribution in relation to other symptoms and risk factors. [ABSTRACT FROM AUTHOR]
Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: <searchLink fieldCode="JN" term="%22Social+Psychiatry+%26+Psychiatric+Epidemiology%22">Social Psychiatry & Psychiatric Epidemiology</searchLink>. Nov2016, Vol. 51 Issue 11, p1467-1475. 9p.
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  Data: Depression is a common concomitant of pancreatic cancer, and, because it often occurs before the cancer is diagnosed, its occurrence is likely to be intrinsic to the condition rather than a reaction to such a diagnosis. Because pancreatic cancer is associated with a very high mortality, its early detection is a key task. We therefore review relevant literature to determine whether the depression is prototypically distinctive and whether its identification might lead to earlier diagnosis of pancreatic cancer. We report on the epidemiology and prognosis of pancreatic cancer and on the prevalence, description, and possible mechanisms involved for the occurrence of any associated depressive state, before reviewing the comparative utility of depression in relation to other risk factors in aiding diagnosis. Published studies fail to identify any distinct depressive prototypic phenotype to depression associated with pancreatic cancer. Although it is a relatively common concomitant of pancreatic cancer, the utility of depression as a marker of the condition is not suggested from a key study evaluating its contribution in relation to other symptoms and risk factors. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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