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. Author manuscript; available in PMC: 2021 Jul 1.
Published in final edited form as: Neuropsychology. 2020 Apr 13;34(5):493–510. doi: 10.1037/neu0000628

Table 2.

Neuropsychological assessment and MCI diagnostic methods in Latinx individuals

Cohort Study Method for selection of language of assessment Translation/adaptation MCI diagnosis method Normative data source Normative data included Hispanics
1Florida ADRC Duara et al. 2019 Patient preference Cited published Spanish translations Consensus with NACC D1 classification protocol Cited normative data for Spanish translations Yes
Florida ADRC, Miami Beach Rosselli et al., 2019 Patient preference NR Clinician diagnosis. Impaired scores ≥ 1.5 SD below normal NR Assumed yes; reported that norms were corrected by age, education, and language
FRONTIER Johnson et al., 2013 NR NR Clinical consensus NR No
Johnson et al., 2014 NR NR Clinical consensus assumed but not specified in this paper. MCI generally considered when test scores were ≥ 1.5 SD below the mean. Publisher's norms NHW; unpublished local norms for English- and Spanish-speaking Hispanics Yes
FRONTIER, HABLE, TARCC Johnson et al., 2015 NR NR Clinical consensus NR NR
FRONTIER, TARCC O’Bryant, Johnson, Reisch, et al., 2013 Patient preference NR Clinical consensus (Ivnik et al., 1992) No
FRONTIER, TARCC O’Bryant, Johnson, Balldin, et al., 2013 Patient preference NR Clinical consensus Ivnik et al. (1992) No
HABLE Johnson et al., 2016 NR NR Clinical consensus. MCI generally considered when test scores were ≥ 1.5 SD below the mean. NR NR
Johnson et al., 2017 Patient preference NR Clinical consensus Unpublished local norms for English and Spanish-speaking Hispanics Yes
Johnson et al., 2019 Patient preference NR Clinical consensus. Impairment considered if test was ≥ 1.5 SD below age- and education-adjusted norms. (O’Bryant et al., 2018) Yes
Szerlip et al., 2015 Patient preference NR Clinical consensus. Impairment considered if test was ≥ 1.5 SD below age- and education-adjusted norms. Unpublished local norms for English and Spanish-speaking Hispanics Yes
NACC Mcclendon et al., 2009 NR NR Clinician diagnosis NR NR
Milani et al., 2018 NR NR Clinician diagnosis NR NR
Pandya et al., 2017 NR NR Clinician diagnosis (Shirk et al., 2011) No (4.2% Hispanic in normative sample)
NYU ADC Guerrero-Berroa et al., 2014 Patient preference NR Clinical consensus Unclear; referenced (De Santi et al., 2008)(89% White, ethnicity NR); also referenced normative data for Wechsler for Spanish speakers Y, reported as available for WAIS only (EIWA-III, Spain); referenced US validation study
Predictors 3 Stern et al., 2017 Patient opinion of best performance Translated and back-translated by a committee of Spanish speakers from Cuba, Puerto Rico, Spain, and the Dominican Republic. Clinical consensus Source NR; describes age-, education-, ethnicity, and sex-corrected scores from WHICAP (Manly et al. (2005) assumed). Yes
SPS3 Dhamoon et al. 2015 NR NR Algorithm; Impairment z ≤ −1·5 in at least 1 test domain; per Jacova et al. (2012) Unclear; references methods from Jacova et al. (2012); (Englishspeaking sample) No (if consistent with Jacova et al. (2012)
Jacova et al., 2015 NR Reported published and validated Spanish test versions with references. Algorithm: Impairment on each test identified with z-score ≤ −1·5. Tests grouped into domains using PCA. MCI designation if impairment in ≥1 domain. Yes; varied Yes, for most tests
Pearce et al., 2014 NR NR Algorithm: impairment defined as score of ≥1.5 SD below the mean. Cited Jacova et al. (2012) No, if consistent with Jacova et al. (2012)
SPRINT Williamson et al., 2019 NR Reported that validated Spanish translations were used when available; otherwise translated and back-translated Expert adjudication panel NR NR
TARCC Bryant et al., 2013 NR NR Clinical consensus Ivnik et al. (1992) No (0.2% Hispanic in normative sample)
Royall & Palmer, 2013 NR NR NR in this paper (clinical consensus reported in other TARCC papers) NR NR
Royall et al., 2014 NR NR NR in this paper (clinical consensus reported in other TARCC papers) NR NR
Royall & Palmer, 2016 NR NR NR in this paper (clinical consensus reported in other TARCC papers) NR NR
Royall & Palmer, 2017 NR NR Clinical consensus NR; notes that norms for MA are not available for many tests NR
Salazar et al., 2014 Patient opinion of best performance NR Clinical consensus NR NR
Salazar et al., 2016 Patient opinion of best performance NR Clinical consensus Ivnik et al. (1992) No (0.2% Hispanic in normative sample)
UC Davis ADC DeCarli et al., 2008 NR NR Clinical consensus. Must perform <10th percentile (age and education adjusted) in at least 1 cognitive domain. NR NR
Early et al., 2013 Patient opinion of best performance NR Clinical consensus. Must perform <10th percentile (age and education adjusted) in at least 1 cognitive domain. NR NR
Farias et al., 2005 Patient preference if bilingual Psychometric ally matched with IRT (SENAS) Clinical consensus; test score < 10th percentile (demographically adjusted) (Mungas et al., 2004) Yes
Farias et al., 2009 NR NR Clinical consensus. impairment considered as approximately 1.5 SD below age- corrected norms; considering education and occupational background. NR NR
Hinton et al., 2010 NR NR Clinical consensus NR NR
Miller et al., 2015 NR NR “Standard criteria” NR, but (Weintraub et al., 2009) referenced (non-Hispanic norms). NR
WHICAP Blum et al., 2012 Patient’s opinion of best performance (per Stern et al., 1992) Translated & back-translated NR; Manly et al. (2005) assumed NR NR
Devanand et al., 2010 Patient’s opinion of best performance (per Manly et al., 2005) Translated & back-translated Clinical consensus*; 1.5 SD normative cut-off for impairment Manly et al. (2005) Yes
Gu et al., 2015 Patient’s opinion of best performance (per Manly et al., 2005) Translated & back-translated Clinical consensus*; 1.5 SD normative cut-off for impairment Manly et al. (2005) yes
Luchsinger et al., 2007 Patient’s opinion of best performance (per Manly et al., 2005) Translated & back-translated Clinical consensus*; 1.5 SD normative cut-off for impairment Manly et al. (2005) Yes
Manly et al., 2005 Patient’s opinion of best performance Translated & back-translated Clinical consensus*; 1.5 SD normative cut-off for impairment Local, robust norms, based on age, education, sex, and ethnicity Yes
Manly et al., 2008 Patient’s opinion of best performance Translated & back-translated Clinical consensus*; 1.5 SD normative cut-off for impairment Manly et al. (2005) Yes
Manly et al., 2011 Patient’s opinion of best performance Translated & back-translated Clinical consensus*; 1.5 SD normative cut-off for impairment Manly et al. (2005) Yes
Rizvi et al., 2018 Patient preference Translated & back-translated Clinical consensus*; 1.5 SD normative cut-off for impairment Manly et al. (2005) Yes
Scarmeas et al., 2009 NR Translated & back-translated Clinical consensus*; 1.5 SD normative cut-off for impairment) Manly et al. (2005) Yes
Zahodne et al., 2013 NR Translated and back-translated Clinical consensus*; 1.5 SD normative cut-off for impairment Manly et al., (2005) Yes
Women's Health Initiative- Memory Study Goveas et al., 2016 NR NR Neurologist diagnosis NR NR

Note: ADC = Alzheimer’s Disease Center. ADRC = Alzheimer’s Disease Research Center. AMNART = American National Adult Reading Test. FRONTIER = Facing Rural Obstacles to Healthcare Now Through Intervention, Education & Research. HABLE =Health & Aging Brain among Latino Elders. NA = not applicable. NACC = National Alzheimer’s Disease Coordinating Center. NR = Not reported. NYU ADC = New York University Alzheimer’s Disease Center. SENAS = Spanish and English Neuropsychological Assessment Scales. SPS3 = The Secondary Prevention of Small Subcortical Strokes study. TARCC = Texas Alzheimer’s Research and Care Consortium. WAT = Word Accentuation Test. WHICAP = Washington Heights-Inwood Columbia Aging Project (WHICAP). WRAT = Wide Range Achievement Test.

1

Cited previous paper describing cohort as Mexican American.

2

Cited previous paper describing cohort as Caribbean Hispanic.

*

Diagnosis of dementia was ruled out through consensus conference

MCI classification was then performed through algorithm