Cognitive Impairment, Elderly Cancer Patients
Conditions
Keywords
Elderly cancer patients, Screening tool, Cognitive impairment, Freund Clock Drawing Test
Brief summary
A Comprehensive Geriatric Assessment (CGA) has become a fundamental aid in the evaluation and treatment planning of older cancer patients. Systematic reviews of trials of geriatric assessments have shown effectiveness when interventions are implemented. Although CGA is a fundamental tool in the care of the geriatric patient, the integration and application of this tool in oncologic practice are still in evolution. Cognition is one of the domains examined within a CGA. Studies have noted that up to 25% to 50% of older patients had cognitive abnormalities that warranted further evaluation. Cognitive dysfunctions can influence the ability to weigh the risks and benefits of cancer therapy, to comply with the suggested treatment plan, and to recognize the symptoms of toxicity that need medical attention. Recently, the Freund Clock Drawing Test (CDT) has been proposed as a quick and simple screening tool to assess cognitive dysfunction. A retrospective analysis on 105 cancer patients at the General Hospital Groeninge showed that a cut-off score of ≤ 4 for the CDT has a good AUC, sensitivity and specificity. Aims 1. To validate the Clock Drawing Test as a screening tool to identify elderly cancer patients in need of a more in-depth cognitive evaluation within a comprehensive geriatric assessment (CGA) 2. Further registration of data in a database coupled to the Cancer Registry in the General Hospital Groeninge as set up by the PROGERCAN study
Detailed description
Design: A prospective, observational, cohort study. All geriatric patients who are diagnosed with cancer will be screened by an oncology clinical nurse specialist or study collaborator with the G8 questionnaire. Patients who screen positive, will be refered to the multi-disciplinary onco-geriatric program where a member of the geriatric oncology team will implement a comprehensive geriatric evaluation under supervision of an oncologist and/or geriatrician, who will then formulate recommendations and might suggest referral to other health care providers. Population: All consenting patients, aged ≥ 70, who are referred for anti-cancer treatment in the General Hospital Groeninge and who are in need of a CGA.
Interventions
None listed
Sponsors
General Hospital Groeninge
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
70 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Patients should have reached the age of 70 or more at the moment of enrolment * Patients should be eligible for standard CGA as per local practice (e.g. on the basis of positive screening with G8 or referred by a treating physician on the basis of clinical suspicion of vulnerability or frailty) * Histologically confirmed diagnosis of cancer. All stages of cancer are eligible. * Patients should be fluent in Dutch or French * Patients must receive their primary oncology care (surgery, course of (neo)adjuvant or palliative chemotherapy, radiotherapy, targeted therapy, palliative care, experimental treatment as part of a clinical trial,...) planned in the General Hospital Groeninge * Patients can be included before or at the start of a line of treatment but not during a line of treatment * Patients should have signed informed consent
Exclusion criteria
* Patients who do not match the inclusion criteria * Patients who are visiting the oncology clinic for a second opinion and do not wish to be treated in the General Hospital Groeninge * Patients who already started a respective line of treatment * Patients deemed fit on the basis of negative screening (negative result on G8) unless the treating physician suspects vulnerability or frailty based on clinical judgement
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Validation of the Freund Clock Drawing Test, and Its Predefined Cut-off of ≤ 4, as a Screening Tool to Identify Elderly Cancer Patients in Need of a More In-depth Cognitive Evaluation With the Folstein MMSE Within Comprehensive Geriatric Assessment | Baseline | A Receiver Operating Characteristic (ROC) analysis was applied in order to validate the Freund Clock Drawing Test at its predefined cut-off of ≤ 4. This ROC analysis illustrates the capacity of the Freund Clock Drawing Test to identify elderly cancer patients in need of a more in-depth cognitive evaluation with the Folstein MMSE within comprehensive geriatric assessment. The ROC curve is a fundamental tool for diagnostic test evaluation. In a ROC curve the true positive rate (Sensitivity) is plotted in function of the false positive rate (100-Specificity) for different cut-off points of a parameter. The AUC (Area Under Curve) is the area enclosed by the ROC curve. The range of possible AUC values is \[0, 1\]. A perfect classifier has AUC = 1 and a completely random classifier has AUC = 0.5. Usually, themodel will score somewhere in between. |
| Further Registration of Data in a Database Coupled to the Cancer Registry in the General Hospital Groeninge as Set up by the PROGERCAN Study | Baseline | During the PROGERCAN study, a database was set up in which the results of the CGA were coupled to the data available in the Cancer Registry of the General Hospital Groeninge. In this project, we aim continue this registration. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| To Compare the Freund Scoring System With Other Scoring Systems (Such as Watson and Colleagues), When Using a Predrawn Circle | Baseline | — |
| Evaluation of the Mini-Cog (Cognitive Screening Tool Consisting of a Clock Drawing With 3-word Recall Test) When Using the Freund CDT | Baseline | — |
| To Determine the Time-saving | Baseline | Determination of the time-saving when using the Freund Clock Drawing Test instead of the Folstein MMSE |
| To Develop a Tumour Tissue Database (Bio Bank) of Elderly Cancer Patients, Solely for Scientific Purposes | Baseline | — |
Countries
Belgium
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| Cohort Older patients with cancer receiving a full CGA | 196 |
| Total | 196 |
Baseline characteristics
| Characteristic | Cohort | — |
|---|---|---|
| Age, Continuous | 79.0 years | — |
| Race and Ethnicity Not Collected | — | — Participants |
| Region of Enrollment Belgium | 196 participants | — |
| Sex: Female, Male Female | 93 Participants | — |
| Sex: Female, Male Male | 103 Participants | — |
Adverse events
| Event type | EG000 affected / at risk |
|---|---|
| deaths Total, all-cause mortality | 0 / 0 |
| other Total, other adverse events | 0 / 0 |
| serious Total, serious adverse events | 0 / 0 |
Outcome results
Primary
Further Registration of Data in a Database Coupled to the Cancer Registry in the General Hospital Groeninge as Set up by the PROGERCAN Study
During the PROGERCAN study, a database was set up in which the results of the CGA were coupled to the data available in the Cancer Registry of the General Hospital Groeninge. In this project, we aim continue this registration.
Time frame: Baseline
Primary
Validation of the Freund Clock Drawing Test, and Its Predefined Cut-off of ≤ 4, as a Screening Tool to Identify Elderly Cancer Patients in Need of a More In-depth Cognitive Evaluation With the Folstein MMSE Within Comprehensive Geriatric Assessment
A Receiver Operating Characteristic (ROC) analysis was applied in order to validate the Freund Clock Drawing Test at its predefined cut-off of ≤ 4. This ROC analysis illustrates the capacity of the Freund Clock Drawing Test to identify elderly cancer patients in need of a more in-depth cognitive evaluation with the Folstein MMSE within comprehensive geriatric assessment. The ROC curve is a fundamental tool for diagnostic test evaluation. In a ROC curve the true positive rate (Sensitivity) is plotted in function of the false positive rate (100-Specificity) for different cut-off points of a parameter. The AUC (Area Under Curve) is the area enclosed by the ROC curve. The range of possible AUC values is \[0, 1\]. A perfect classifier has AUC = 1 and a completely random classifier has AUC = 0.5. Usually, themodel will score somewhere in between.
Time frame: Baseline
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Cohort | Validation of the Freund Clock Drawing Test, and Its Predefined Cut-off of ≤ 4, as a Screening Tool to Identify Elderly Cancer Patients in Need of a More In-depth Cognitive Evaluation With the Folstein MMSE Within Comprehensive Geriatric Assessment | 0.95 unitless |
Secondary
Evaluation of the Mini-Cog (Cognitive Screening Tool Consisting of a Clock Drawing With 3-word Recall Test) When Using the Freund CDT
Time frame: Baseline
Secondary
To Compare the Freund Scoring System With Other Scoring Systems (Such as Watson and Colleagues), When Using a Predrawn Circle
Time frame: Baseline
Secondary
To Determine the Time-saving
Determination of the time-saving when using the Freund Clock Drawing Test instead of the Folstein MMSE
Time frame: Baseline
Secondary
To Develop a Tumour Tissue Database (Bio Bank) of Elderly Cancer Patients, Solely for Scientific Purposes
Time frame: Baseline