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Patterns of missing mini mental status exam (MMSE) in radiation therapy oncology group (RTOG) brain cancer trials
1Statistics Department, Radiation Therapy Oncology Group, 1818 Market St. Suite 1600, Philadelphia, PA 19103, USA. kbae@phila.acr.org
Abstract:
The Mini Mental Status Exam (MMSE) instrument has been commonly used in the Radiation Therapy Oncology Group (RTOG) to assess mental status in brain cancer patients. Evaluating patient factors in relation to patterns of incomplete MMSE assessments can provide insight into predictors of missingness and optimal MMSE collection schedules in brain cancer clinical trials. This study examined eight RTOG brain cancer trials with ten treatment arms and 1,957 eligible patients. Patient data compliance patterns were categorized as: (1) evaluated at all time points (Complete), (2) not evaluated from a given time point or any subsequent time points but evaluated at all the previous time points (Monotone drop-out), (3) not evaluated at any time point (All missing), and (4) all other patterns (Mixed). Patient characteristics and reasons for missingness were summarized and compared among the missing pattern groups. Baseline MMSE scores and change scores after radiation therapy (RT) were compared between these groups, adjusting for differences in other characteristics. There were significant differences in frequency of missing patterns by age, treatment type, education, and Zubrod performance status (ZPS; P < 0.001). Ninety-two percent of patients were evaluated at least once: seven percent of patients were complete pattern, 49% were Monotone pattern, and 36% were mixed pattern. Patients who received RT only regimens were evaluated at a higher rate than patients who received RT + other treatments (49-64% vs. 27-45%). Institutional error and request to not be contacted were the most frequent known reasons for missing data, but most often, reasons for missing MMSE was unspecified. Differences in baseline mean MMSE scores by missing pattern (Complete, Monotone dropout, Mixed) were statistically significant (P < 0.001) but differences were small (<1.5 points) and significance did not persist after adjustment for age, ZPS, and other factors related to missingness. Post-RT change scores did not differ significantly by missing pattern. While baseline and change scores did not differ widely by missing pattern for available measurements, incomplete data was common and of unknown reason, and has potential to substantially bias conclusions. Higher compliance rates may be achievable by addressing institutional compliance with assessment schedules and patient refusal issues, and further exploration of how educational and health status barriers influence compliance with MMSE and other tools used in modern neurocognitive batteries.
Insights
Incomplete Mini Mental Status Exam (MMSE) data is common in brain cancer trials, with unknown reasons often cited. Addressing patient and institutional factors can improve data collection for more reliable neurocognitive assessments.
Area of Science:
- Neuro-oncology
- Clinical Trial Methodology
- Cognitive Assessment
Background:
- The Mini Mental Status Exam (MMSE) is frequently used in Radiation Therapy Oncology Group (RTOG) brain cancer trials.
- Understanding patterns of incomplete MMSE data is crucial for improving trial data quality and interpretation.
Purpose of the Study:
- To identify patient factors associated with incomplete MMSE assessments in RTOG brain cancer trials.
- To explore optimal MMSE data collection schedules and potential biases in neurocognitive evaluations.
Main Methods:
- Analysis of MMSE compliance patterns (Complete, Monotone drop-out, All missing, Mixed) in 1,957 patients across eight RTOG brain cancer trials.
- Comparison of patient characteristics and reasons for missing data among different compliance patterns.
- Statistical adjustment for factors like age, treatment type, education, and Zubrod performance status (ZPS).
Main Results:
- Significant differences in missingness patterns were observed based on age, treatment type, education, and ZPS (P < 0.001).
- While 92% of patients had at least one MMSE evaluation, only 7% had complete data; 49% followed a monotone drop-out pattern.
- RT-only regimens showed higher evaluation rates compared to combined RT + other treatments.
- Institutional error and patient refusal were common known reasons for missing data, though often unspecified.
- Small, non-persistent differences in baseline MMSE scores were noted across missing patterns after adjustments.
Conclusions:
- Incomplete MMSE data is prevalent in brain cancer trials, often due to unspecified reasons, posing a risk of bias.
- Improving compliance may involve addressing institutional adherence to schedules and patient-related barriers, including educational and health status.
- Further research is needed to understand and mitigate factors influencing neurocognitive data collection in clinical trials.