scholarly journals VALIDATION OF THE ST. LUKE’S-SHORT GERIATRIC SCREENING TOOL FOR COMPREHENSIVE GERIATRIC ASSESSMENT

2017 ◽  
Vol 1 (suppl_1) ◽  
pp. 1225-1226
Author(s):  
E.S. Poblete
2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e24010-e24010
Author(s):  
Rocio Grajales ◽  
Alicia Gutierrez Mata ◽  
José Enrique Martínez Hernández ◽  
Alejandro Zavala-Calderon

e24010 Background: G8 is a geriatric screening tool designed to identify elderly cancer patients who benefit from a comprehensive geriatric assessment (CGA). Despite the increase in the incidence of cancer in the geriatric patients, there is absence of trials targeting this population. Decisions are often made based on their age and ECOG/Karnofsky scales, which does not reflect the actual role of an elderly patient. It is necessary to identify patients who require a CGA for an accurate evaluation and optimal oncological management. The routine implementation of the G8 geriatric screening tool in the oncology consultation consumes little time and is useful for timely referral of vulnerable patients to specialized care, in order to generate a positive impact on oncological therapy decision-making, improving their outcomes. Our main objective was to determine, using the geriatric screening tool G8, the percentage of patients aged >65 years with breast cancer, which require a CGA. Methods: The G8 questionnaire was applied to patients >65 yo with a diagnosis of breast cancer from December 2019 to May 2020. The baseline characteristics were prospectively collected and included clinical and demographic characteristics. The prognostic value of the functional status of the ECOG was evaluated and compared with that obtained from the G8. The difference between groups was assessed using Pearson's chi square with Yates correction. Additional scores were calculated using the Kaplan-Meier method and compared between groups using the log rank test. The hazard ratio with a 95% confidence interval was estimated using a Cox proportional hazards analysis, considering an abnormal G8 score as an exposure variable. Spearman correlation was made between age and the G8 score obtained. SPSS v22 software (IBM, USA) was used for all analyzes. Results: From December 2019 to May 2020, 357 patients were recruited. The mean age was 73.57 years (SD+7.02 y). The most frequent clinical stage was IIA (27.7%), followed by I (21.8%). 74.2% had an ECOG 1. Regarding treatment, 317 patients (88.8%) were on hormone therapy. The percentage of patients requiring a CGA was 44.3% (n = 158), of which only 55.1% (n = 87) were performed. We found no significant association between the requirement of CGA and clinical stage (p = 0.27) or treatment received (p = 0.345); but according to the ECOG, we obtained statistical significance p < 0.0001. Spearman correlation was performed between age and the G8 score, a correlation of 0.422 was obtained with p < 0.0001.The most affected domains of G8 were polypharmacy (51%) and ingestion (28.3%). Disease-free survival analysis was performed, without finding differences between vulnerable-frail and healthy patients. Conclusions: The G8 is a tool that allows to discern which patients require a CGA, in order to carry out interventions to improve comprehensive cancer treatment, so it should be implemented routinely in the oncology consultation.


2011 ◽  
Vol 2 (2) ◽  
pp. 130-136 ◽  
Author(s):  
S. Valéro ◽  
V. Migeot ◽  
G. Bouche ◽  
N. Raban ◽  
B. Roullet ◽  
...  

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e20534-e20534
Author(s):  
Najib Antoine Nassani ◽  
Sassine Ghanem ◽  
Elie Kassouf ◽  
Lana El Osta ◽  
Fadi El Karak ◽  
...  

e20534 Background: The role of Physical Performance Test (PPT) as a screening tool for patients in geriatric oncology requiring a Comprehensive Geriatric Assessment (CGA) has not been studied so far. We undergo this study to assess PPT as a screening tool in comparison with Karnofsky Performance Status (KPS) and CGA. Methods: One hundred patients, aged ≥ 70 and diagnosed with cancer participated in our study. Inclusion criteria were knowledge of Arabic, French or English and absence of significant cognitive impairment. Exclusion criteria were: KPS<60% or severe medical condition. ROC curves were used to compare PPT and KPS in identifying ≥ 2 impairments on CGA. Results: Median age was 76 years (70 – 89). Most frequent malignancies were: Lung (19%), colo-rectum (16%), and breast (15%). Stage IV was present in half of patients. Patients were at increased risk of malnutrition (46%) and malnourished (15%), had moderate to severe pain uncontrolled by medication (41%), were at risk of falls (42%), were suffering from frequent sleeping problems (43%), had vision (56%) and hearing (36%) impairment, have had urinary incontinence within one year (21%). All had social support in case of emergency. Cardiovascular (67%), diabetes mellitus (30%) and pulmonary (26%) were the most frequent comorbidities. A remarkable prevalence of geriatric problems was noted with 69% having ≥ 2 impairments on CGA. A good correlation existed between KPS and PPT r = 0.68 (p<.0001). PPT (Se=65%, Sp=84%, PPV=90%, NPV=52%, cut-off ≤24) was equivalent to KPS (Se=65%, Sp=81%, PPV=88%, NPV=51%, cut-off ≤80%) in identifying ≥ 2 impairments on CGA. Conclusions: Patients aged ≥ 70, diagnosed with cancer and having a KPS ≤ 80% or a PPT ≤ 24 must be referred to specialists in geriatric oncology or to geriatricians for a thorough assessment.


2021 ◽  
Author(s):  
Cagatay Cavusoglu ◽  
Gozde Tahtaci ◽  
Rana Tuna Dogrul ◽  
Ibrahim Ileri ◽  
Funda Yildirim ◽  
...  

Abstract Background: Pre-treatment evaluation for sarcopenia is recommended in cancer patients. We aimed to investigate whether the G8 screening test can detect probable sarcopenia and is valid and reliable compared to comprehensive geriatric assessment (CGA) in Turkish older adults with solid cancers.Methods: We included solid cancer patients referred to a single center. Probable sarcopenia and abnormal CGA were defined as low handgrip strength and impairment in at least one of the CGA tests, respectively. Receiver operating characteristic curve analyses evaluated the test’s predictive ability. Intra-rater and inter-rater reliabilities were assessed.Results: The median age of the 76 patients included was 72 (65–91) years. There was a moderate correlation between handgrip strength and the G8 test total score. The sensitivity and specificity of the G8 test to detect probable sarcopenia alone were 50% and 92%, respectively (area under the curve [AUC]: 0.747; p<0.001); to determine abnormal CGA plus probable sarcopenia were 93.33% and 86.89%, respectively (AUC: 0.939; p<0.001), and to detect abnormal CGA alone were 79.63% and 95.45%, respectively (AUC: 0.893; p<0.001). The G8 test results agreed with those of CGA (κ=0.638; p<0.001). Both inter- and intra-rater assessments of G8 scores revealed a strong agreement (Interclass correlation coefficient (ICC)=0.979, p<0.001 and ρ=0.994, p<0.001, respectively). Conclusions: The Turkish version of the G8 test is a good screening tool to detect probable sarcopenia alone and in conjunction with abnormal CGA in older patients with solid malignancies. The G8 screening tool may be useful in detecting probable sarcopenia in Turkish older adults with solid cancers.


2019 ◽  
Vol 51 (01) ◽  
pp. 36-41
Author(s):  
Yousif Rassam ◽  
Axel Schindler ◽  
Peter Willschrei ◽  
Marcus Horstmann

ZusammenfassungDer G8-Fragebogen ist ein von der SIOG und EAU empfohlenes geriatrisches Screening-Tool, das zum Zeit- und Ressourcenschonen einem kompletten geriatrischen Assessment („comprehensive geriatric assessment“, CGA) vorgeschaltet werden kann. Die Anwendung des Fragebogens hat sich in unserem klinischen Alltag bewährt, da die 8 Items schnell und problemlos in 4 – 5 Minuten im Stil einer Checkliste auch von nicht geriatrisch geschultem Personal bearbeitet werden können. Mittlerweile ist der G8-Fragebogen in der geriatrischen Onkologie ein etabliertes Screening-Tool. Mehrfach wurde in Studien bewiesen, dass er einen unabhängigen Vorhersagewert in Bezug auf das Gesamtüberleben von Patienten hat. Kritische Aspekte bei der Anwendung bleiben seine relativ geringe Testspezifität (60 %), sein Fokus auf Ernährungsaspekte und mögliche Interobserverdifferenzen. Diese Aspekte sollten vom Anwender gekannt und beachtet werden.


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