Skip to main content
. 2020 May 21;4:7. doi: 10.1186/s41512-020-0071-8

Table 4.

Prognostic factors for training improvement in verbal long-term memory

Study Test for outcome assessment Dependent variable Prognostic factor
Multiple regression
Age Education Sex Neuropsychology Imaging Others
O'Hara et al. [9] Number of words correctly recalled.

Post-test scores

Pre-test and change scores were integrated in regression.

Gain scores following training ↑ *

Length of training (short vs. long) ↑

Reported use of mnemonic at follow-up ↑ *

Type of pre-training (standard vs. comprehensive) ↓

Pre-training ↑ *

Brooks et al. [8] Proper name recall task Post-test scores ↑ * Pre-test score →*

Pre-training * Length →

Length of training →

Pre-training →

McDougall et al. [40] RBMT

Change score

Relative gains from beginning to end of training

x Ethnical group x
Park et al. [7]

Elderly verbal learning test, delayed recall

However, results are reported forcognitive functionas outcome measure, which is not clearly defined

Change score

Post-pre

↓* Pre-test scores of neuropsychological tests (Digit Span Test, Spatial Span Test, Categorical Fluency Test, short version of Boston Naming test) →
Pesce et al. [20] RVLT

Change score

Post-pre

Change in dROMs ↓

Change in BAP ↑

Correlation analysis
Leahy, Ridout, Mushtaq et al., [25] Autobiographical memory specificity Change score

Independence

Depression

Functional limitations

Memory specificity

Andrewes et al. [26]

Laboratory Prospective Memory Assessment

Everyday Prospective Memory Assessment

Change score

NART →

Warrington Forced Choice Recognition →

RAVT →

Mattis dementia scale →

Depression →

Anschutz et al. [27]

Free recall of 2 lists

Recognition of 2 lists

No clear reporting. No clear reporting.
Hill et al. [38] Improvement in list recall Change scores MMSE ↑
Leahy, Ridout, and Holland, [24] Autobiographical memory specificity. Change scores Baseline cognitive flexibility ↑
Group comparisons (ANOVA, t test)
McDougall et al. [40] RBMT Pre-test and Post-test scores calculated in an ANOVA. x x Ethnicity x
O’Hara et al., [43] List-learning test Pre-test and Post-test scores calculated in an ANOVA. Apolipoprotein E4 ↓
Mixed models
/

Studies are sorted according to the statistical method used for obtaining the prognostic factors

ANOVA analysis of variance, MMSE Mini Mental State Examination, NART National Adult Reading Test, RAVL Rey Auditory Verbal Learning Test, RBMT Rivermead behavioural memory test, RVLT Rey Auditory Verbal Learning Test, dROMs reactive oxygen metabolites derivative compounds, BAP antioxidant levels; ↑ the higher the prognostic factor, the higher the improvement/positive correlation; ↓ the lower the prognostic factor, the higher the improvement/negative correlation; → no direction of effect reported; * significant; x unclear reporting