Literature DB >> 25805495

Significant predictors of patients' uncertainty in primary brain tumors.

Lin Lin1, Lung-Chang Chien, Alvina A Acquaye, Elizabeth Vera-Bolanos, Mark R Gilbert, Terri S Armstrong.   

Abstract

Patients with primary brain tumors (PBT) face uncertainty related to prognosis, symptoms and treatment response and toxicity. Uncertainty is correlated to negative mood states and symptom severity and interference. This study identified predictors of uncertainty during different treatment stages (newly-diagnosed, on treatment, followed-up without active treatment). One hundred eighty six patients with PBT were accrued at various points in the illness trajectory. Data collection tools included: a clinical checklist/a demographic data sheet/the Mishel Uncertainty in Illness Scale-Brain Tumor Form. The structured additive regression model was used to identify significant demographic and clinical predictors of illness-related uncertainty. Participants were primarily white (80 %) males (53 %). They ranged in age from 19-80 (mean = 44.2 ± 12.6). Thirty-two of the 186 patients were newly-diagnosed, 64 were on treatment at the time of clinical visit with MRI evaluation, 21 were without MRI, and 69 were not on active treatment. Three subscales (ambiguity/inconsistency; unpredictability-disease prognoses; unpredictability-symptoms and other triggers) were different amongst the treatment groups (P < .01). However, patients' uncertainty during active treatment was as high as in newly-diagnosed period. Other than treatment stages, change of employment status due to the illness was the most significant predictor of illness-related uncertainty. The illness trajectory of PBT remains ambiguous, complex, and unpredictable, leading to a high incidence of uncertainty. There was variation in the subscales of uncertainty depending on treatment status. Although patients who are newly diagnosed reported the highest scores on most of the subscales, patients on treatment felt more uncertain about unpredictability of symptoms than other groups. Due to the complexity and impact of the disease, associated symptoms, and interference with functional status, comprehensive assessment of patients is necessary throughout the illness trajectory.

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Year:  2015        PMID: 25805495      PMCID: PMC8330668          DOI: 10.1007/s11060-015-1756-7

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  13 in total

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Authors:  M H Mishel; C J Braden
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Authors:  M H Mishel
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Authors:  T S Armstrong; T Mendoza; I Gning; I Gring; C Coco; M Z Cohen; L Eriksen; Ming-Ann Hsu; M R Gilbert; C Cleeland
Journal:  J Neurooncol       Date:  2006-04-06       Impact factor: 4.130

Review 6.  Current concepts and management of glioblastoma.

Authors:  Matthias Preusser; Sandrine de Ribaupierre; Adelheid Wöhrer; Sara C Erridge; Monika Hegi; Michael Weller; Roger Stupp
Journal:  Ann Neurol       Date:  2011-07       Impact factor: 10.422

Review 7.  Chemoradiotherapy in malignant glioma: standard of care and future directions.

Authors:  Roger Stupp; Monika E Hegi; Mark R Gilbert; Arnab Chakravarti
Journal:  J Clin Oncol       Date:  2007-09-10       Impact factor: 44.544

8.  Validation of the Mishel's uncertainty in illness scale-brain tumor form (MUIS-BT).

Authors:  Lin Lin; Alvina A Acquaye; Elizabeth Vera-Bolanos; Jennifer E Cahill; Mark R Gilbert; Terri S Armstrong
Journal:  J Neurooncol       Date:  2012-09-11       Impact factor: 4.130

9.  Uncertainty, mood states, and symptom distress in patients with primary brain tumors: analysis of a conceptual model using structural equation modeling.

Authors:  Lin Lin; Hui-Hsun Chiang; Alvina A Acquaye; Elizabeth Vera-Bolanos; Mark R Gilbert; Terri S Armstrong
Journal:  Cancer       Date:  2013-05-09       Impact factor: 6.860

Review 10.  The 2007 WHO classification of tumours of the central nervous system.

Authors:  David N Louis; Hiroko Ohgaki; Otmar D Wiestler; Webster K Cavenee; Peter C Burger; Anne Jouvet; Bernd W Scheithauer; Paul Kleihues
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  2 in total

1.  Assessing Variability in Brain Tumor Segmentation to Improve Volumetric Accuracy and Characterization of Change.

Authors:  Edgar A Rios Piedra; Ricky K Taira; Suzie El-Saden; Benjamin M Ellingson; Alex A T Bui; William Hsu
Journal:  IEEE EMBS Int Conf Biomed Health Inform       Date:  2016-04-21

2.  Classification of patient- and clinician-generated secure messages using a theory-based taxonomy.

Authors:  Dawn Heisey-Grove; Cheryl Rathert; Laura E McClelland; Kevin Jackson; Jonathan DeShazo
Journal:  Health Sci Rep       Date:  2021-05-24
  2 in total

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