Identifying an accurate pre-screening tool in geriatric oncology
Introduction
There is a remarkable increase in the number of older patients with cancer. Persons over the age of 70 are the fastest growing proportion of the population. In addition, the most important risk factor for cancer is age [1]. Often, tumor diagnosis is made at a later stage compared with younger individuals, resulting from a restriction in screening programs and often an underestimation of symptoms [2]. Senior adults have been underrepresented in clinical trials, leading to a limited existence of evidence-based guidelines for treatment. Elderly patients are often treated with less intense and possibly suboptimal standard regimens, under the assumption that therapy is less effective and has more toxicity [3]. Furthermore, in senior adults, case complexity (related to possible existing co-morbidities and impaired functional status) and care complexity (related to the presence of multiple health care providers) are added up [4].
Senior citizens represent a inhomogeneous group. Within a decade of age, there is a substantial variety in life expectancy, capacity to live independently, and burden of co-morbidities. Thus, treatment choices should not be ascertained by calendar age per se. Just as when staging the tumor, its size and spread, clinicians need to determine the functional age of the patient and anticipate the functional response to treatment [5].
The International Society of Geriatric Oncology (SIOG) recommends the use of comprehensive geriatric assessment (CGA) in cancer patients older than 70 [6]. The CGA is a multidisciplinary evaluation of an older individual's functional status, cognition, psychological status, social support, nutritional status, co-morbidity, and review of the medications being taken [5], [7]. Several instruments have been developed to assess the different components. Common measures of functional status, which investigate the necessary abilities enabling independence in everyday life, are activities of daily living (ADL) and instrumental activities of daily living (IADL). The mini-mental state examination (MMSE) investigates orientation, short-term memory, recall, and language and praxis function. A score less than 24 points suggests ‘probable cognitive impairment’ [8]. Emotional status is assessed by means of the geriatric depression scale (GDS), a validated screening tool for depression. The GDS-15 measures emotional factors present in depression and does not rely on somatic symptoms that confound the diagnosis of depression [9].
In more than 50% of patients older than 65 years, the CGA detects unexpected difficulties, which may lead to premature discontinuity of the cancer treatment [5]. Therefore, CGA may serve the decision-making process by identifying patients who are fit for treatment [5].
Unfortunately, the CGA is time-consuming. Exhaustion of both the patient and his physician frequently lead to the abandonment of the CGA [10]. A two-step approach is a pragmatic alternative, using a less time- and manpower-consuming pre-screening tool [11]. Pre-screening is a process in which a brief assessment is conducted to determine whether further screening is indicated. It is a short evaluation that is not intended to be diagnostic, and does not replace, but rather optimizes screening by selecting those senior patients who may benefit from an intensive survey [12]. Several pre-screening instruments have been proposed.
The abbreviated comprehensive geriatric assessment (aCGA) combines the items of the CGA that are most predictive of the total rating score of each scale [13]. The aCGA is developed to determine whether patients should undergo the ADL, IADL, GDS and MMSE based on cut-off point scores [12]. A cut-off point of two out of the selected four GDS items indicates insisting on the use of the full GDS. In the event of any detected impairment, the full ADL or IADL should be administered. Concerning the MMSE, a score of six or lower out of a maximum score of eight indicates cognitive screening with the complete MMSE [12]. The aCGA is not a complete pre-screening instrument with clear cut-offs such as the two described below, but was designed to conduct the CGA more efficiently.
The Vulnerable Elders Survey (VES-13) is a 13-item screening tool that asks elderly people to report their age, physical status, functional capacity, and their self-estimated health. In a US sample, a score of ≥3 identified 32% of individuals as being vulnerable [14]. These vulnerable elderly had a four times greater risk of functional deterioration or death over 2 years than those with a score less than three [14], [15]. The clear cut-off point makes the VES-13 a practical instrument; nevertheless, patients may overestimate their own physical competences.
The Groningen frailty index (GFI) is a simple tool that screens for diminished abilities and resources in physical, cognitive, social and psychological functioning. A score of four or more indicates a higher risk for frailty [16]. Thus, like the VES-13, a distinct cut-off point is an advantage of the GFI.
In order to identify the most efficient pre-screening tool that accurately determines individuals who may benefit from the entire CGA, we conducted a study among elderly Flemish and Dutch cancer patients. The objective was to compare the results of three selected pre-screenings tools, currently insufficiently validated, using the results from the entire CGA as the gold standard.
Section snippets
Participants
Eligible patients were 70 years of age or over, with a diagnosis of cancer (any stage), who were actively receiving treatment or not, and who speak Dutch. Patients with severe cognitive impairment were excluded. Patients were recruited at the oncology wards of the Virga Jesse Hospital (Hasselt), Hospital Zuid Oost-Limburg (Genk), the academic hospital of Maastricht and from general practice. Informed consent was obtained from all participants. The study was approved by the ethical review board
Patient characteristics
A total of 113 patients were recruited. Table 1 shows the demographic distribution of the participants. The mean age of the patients was 77 years; 60% were male. The majority of the participants lived with their partner (58%); 34% lived alone. Prostate cancer was the most common diagnosis, accounting for 32% of the patients; while breast cancer and colon cancer were equally prevalent (15%).
Presence of ADL, IADL, cognitive impairment, depression, and co-morbidity
These results are shown in Table 2. The majority of the participants had no ADL impairment (39%); 31% were
Discussion
In our study, the physical and disability questions were useful, but all other screening instruments missed too many cases.
Elderly patients should be treated holistically, receiving attention to all existing medical, psychological, and social issues [10]. Non-uniformity of the aging process makes an individualized approach to disease management relevant to the treatment of the elderly cancer patient. Any patient over 70 should receive some sort of evaluation. However, it is difficult for the
Reviewers
Professor David Mant, Institute of Health Sciences, Department of Primary Health Care, Old Road Campus, Old Road, Headington, Oxford OX3 7LF, United Kingdom.
Acknowledgments
The study was funded by the Province Limburg, Belgium and the “Limburg Kanker Fonds”, Belgium.
Eliane Kellen received her M.D. degree from the University of Leuven. The topic of her Ph.D. dissertation concerned the interaction between gene and environmental risk factors for the development of bladder cancer. Her main interests include primary and secondary prevention of cancer. She is (co-)author of several publications in top-rated cancer journals.
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Eliane Kellen received her M.D. degree from the University of Leuven. The topic of her Ph.D. dissertation concerned the interaction between gene and environmental risk factors for the development of bladder cancer. Her main interests include primary and secondary prevention of cancer. She is (co-)author of several publications in top-rated cancer journals.
Paul Bulens received his M.D. degree from the University of Leuven, where he specialized in radiation oncology. Since 1988 he has been a radiation oncologist in the Virga Jesse Hospital – Hasselt, where since 2001 he has been medical manager of the oncology group. He is also medical manager of the Limburg Oncology Centre, a collaboration among several hospitals. His main interests are breast and prostate cancer, and medical management.
Laura Deckx received her master's degree in Physical Education and Kinesiology at the University of Leuven and in Public Health – Epidemiology at the University of Maastricht. She was honored with the top 3% award of the University of Maastricht, where she currently works in the Department of General Practice.
Harry Schouten (hematology/oncology) is operative within the Department of Internal Medicine of the academic hospital in Maastricht. Among other duties, he is responsible for the intensive care and stem cell transplantation program. His dissertation was entitled: “Chromosomal abnormalities in hematological malignancies” (1991).
Marjan Van Dijk received her M.D. degree from the University of Amsterdam. She was trained as a specialist in Internal Medicine and Hematology in the academic hospitals of Utrecht and Amsterdam. Her dissertation contained clinical, epidemiological, physiological and molecular studies on autosomal dominant polycystic kidney disease. She now works as an oncologist with a special interest in neuro-oncology.
Ilse Verdonck received her Master of Nursing degree from the University of Leuven. The topic of her dissertation concerned the involvement of home care nurses in euthanasia in Flanders.
Frank Buntinx is research coordinator of the Academic Department of General Practice at the University of Leuven and chairman of the Comprehensive Cancer Institute Limburg, Belgium. His special interest is in epidemiology, diagnostics, and meta-analyses.