scholarly journals Sensitivity and specificity of the Distress Thermometer in screening for distress in long-term nasopharyngeal cancer survivors

2013 ◽  
Vol 20 (6) ◽  
pp. 570 ◽  
Author(s):  
J. Tian ◽  
J.S. Hong
2010 ◽  
Author(s):  
Mark C. Hornbrook ◽  
Christopher S. Wendel ◽  
Stephen Joel Coons ◽  
Marcia Grant ◽  
Lisa J. Herrinton ◽  
...  

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A128-A128
Author(s):  
Lydia Chevalier ◽  
Alexis Michaud ◽  
Eric Zhou ◽  
Grace Chang ◽  
Christopher Recklitis

Abstract Introduction Insomnia is a common and impairing late effect experienced by many young adult cancer survivors (YACS). Although routine evaluation of sleep disorders in cancer survivors is recommended, lack of consensus on appropriate screening measures contributes to under-identification and under-treatment of these disorders in YACS. As screening measures are ideally as brief as possible while maintaining validity, we sought to validate the recently published three-item Insomnia Severity Index Short-Form (ISI-SF) in YACS. Methods 250 YACS completed the ISI and the Structured Clinical Interview for the DSM-5 (SCID-5). The ISI-SF was created by summing three ISI items: distress (item #6), interference (item #7), and satisfaction (item #4). In receiver operating characteristic (ROC) analyses, area under the curve (AUC) was calculated to compare discrimination on the ISI-SF to two criteria: the full-scale ISI using a cutoff of ≥8 recently validated in this sample, and the SCID-5 insomnia module. Consistent with previous research, we specified a priori that a cut-off score on the ISI-SF with sensitivity ≥.85 and specificity ≥.75 would be acceptable. Results The ISI-SF had excellent discrimination when compared to the full-scale ISI (AUC = .97) and a cut-off score of ≥4 met criteria with a sensitivity of 97% and specificity of 86%. The ISI-SF had good discrimination when compared to the SCID-5 (AUC = .88), but none of the cut-off scores met a priori criteria for sensitivity and specificity. A cut-off score of ≥4 came closest with a sensitivity of 94% and specificity of 70%. Conclusion Although the ISI-SF did not meet sensitivity and specificity criteria for a stand-alone screening measure when compared to a diagnostic interview, it demonstrated utility as the first step in a two-step screening procedure. Specifically, the high sensitivity of the ≥4 ISI-F cut-off score is well-suited to accurately screening out YACS who do not need insomnia services; as a second screen, the SCID-5 insomnia module could be administered only to those elevated on the ISI-SF in order to identify false positives cases before making referrals for insomnia specialists. Support (if any) National Cancer Institute (1R21CA223832), Swim Across America


2021 ◽  
Vol 53 (01) ◽  
pp. 22-26

Doege D, Thong MS, Koch-Gallenkamp L et al.Age-specific prevalence and determinants of depression in long-term breast cancer survivors compared to female population controls. Cancer Med 2020; 9: 8713–8721. doi:10.1002/cam4.3476


The Breast ◽  
2021 ◽  
Vol 56 ◽  
pp. S80-S81
Author(s):  
P. Santiá ◽  
A. Jansana ◽  
T. Sanz ◽  
I. de la Cura ◽  
M. Padilla-Ruiz ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1301
Author(s):  
Saskia W. M. C. Maass ◽  
Daan Brandenbarg ◽  
Liselotte M. Boerman ◽  
Peter F. M. Verhaak ◽  
Geertruida H. de Bock ◽  
...  

Background: Fatigue is the most common and persistent symptom among women in the first five years after a breast cancer diagnosis. However, long-term prevalence of fatigue, among breast cancer survivors, needs further investigation. Aim: To compare fatigue experienced by long-term breast cancer survivors with that in a reference population and to evaluate the determinants of that fatigue. Design and Setting: A cross-sectional cohort study of 350 breast cancer survivors ≥5 years after diagnosis and a reference population of 350 women matched by age and general practitioner. Method: Fatigue was measured using the Multidimensional Fatigue Inventory (MFI-20), and a sum score of >60 (multidimensional fatigue) was the primary outcome. Logistic regression was applied to compare the prevalence of multidimensional fatigue between the survivor and reference populations, adjusted for body mass index (BMI) and for cardiovascular and psychological variables. Odds ratios (ORs) and 95% confidence intervals (95%CIs) were estimated. Logistic regression was applied to evaluate the determinants of multidimensional fatigue among the survivors. Results: Breast cancer survivors (median 10 years after diagnosis), more often experienced multidimensional fatigue than the reference population (26.6% versus 15.4%; OR, 2.0 [95%CI, 1.4–2.9]), even after adjusting for confounders. The odds of multidimensional fatigue were also higher among survivors with symptoms of depression (32.2% versus 2.7%; OR, 17.0 [95%CI, 7.1–40.5]) or anxiety (41.9% versus 10.1%; OR, 6.4 [95%CI, 3.6–11.4]). Conclusion: One in four breast cancer survivors experience multidimensional fatigue and fatigue occurs more frequently than in women of the same age and general practitioner. This fatigue appears to be associated with symptoms of depression and anxiety.


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