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. 2020 Mar 2;2020(3):CD009628. doi: 10.1002/14651858.CD009628.pub2

Liu 2010.

Study characteristics
Patient sampling Primary objectives: determine predictors of conversion to AD from MCI with automated MRI regional cortical volume and thickness measures
Study population: amnestic MCI
Selection criteria: data were collected from 6 medical centres across Europe. All the MCI participants had successfully undergone MRI and cognitive tests evaluated at baseline, and clinical evaluation and cognitive tests were repeated 1 year later. None of the MCI and AD participants had other neurological or psychiatric disease, significant unstable systemic illness or organ failure, and alcohol or substance misuse
Study design: prospective longitudinal study (data from AddNeuroMed study; Lovestone 2009)
Patient characteristics and setting Clinical presentations: amnestic MCI according to Petersen 1999 and Petersen 2001 criteria:
  1. memory complaint by patient, family, or physician

  2. normal ADL

  3. MMSE score range between 24 and 30

  4. GDS score ≤ 5

  5. participant aged ≥ 65 years

  6. CDR memory score of 0.5 or 1

  7. absence of dementia according to NINCDS/ADRDA criteria (McKhann 1984)


Age mean (SD): MCI who progressed to AD: 72 ± 6; stable MCI: 74 ± 6
Gender (% men): MCI who progressed to AD: 57%; stable MCI: 44%
Education years mean (SD): MCI who progressed to AD 9 ± 4; stable MCI: 9 ± 4
ApoEϵ4 carriers (%): not stated
Neuropsychological tests: MMSE mean (SD): MCI who progressed to AD: 27 ± 2; stable MCI: 27 ± 2
Clinical stroke excluded: not specified
Co‐morbidities: not reported
Number enrolled: 100
Number available for analysis: 100
Setting: AddNeuroMed cohort (Lovestone 2009)
Country: Finland, Italy, Greece, UK, Poland, France
Period: not reported
Language: English
Index tests Index test: MRI automated method for estimation of hippocampal volume
Manufacturer: 6 different MRI systems (4 Signa, GE, Waukesha, WI; 1 Avanto, Siemen, Erlangen, Germany; and 1 Edge 1.5T, Picker, Cleveland, OH)
Tesla strength: 1.5
Assessment methods: a highly automated structural MRI image processing pipeline, which was developed by Fischl and his colleagues was utilised for data analysis (Fischl 2004). It produced both regional cortical thickness measures from 34 areas and regional volume measures from 24 areas, including the hippocampus
Description of positive cases definition by index test as reported: not specified
Examiners: details not reported
Interobserver variability: not provided
Target condition and reference standard(s) Target condition: AD
Prevalence of AD in the sample: 21/100 (21% of enrolled participants)
Stable MCI or converted to other dementia: 79 (79%) stable MCI
Reference standards: NINCDS/ADRDA criteria (McKhann 1984).
Mean clinical follow‐up: 1 year
Flow and timing Withdrawals explained and losses to follow‐up: none reported
Uninterpretable MRI results have not been reported
Comparative  
Key conclusions by the authors The cortical volumes achieved higher diagnostic accuracy than did cognitive tests or cortical thickness. Combining the volumes, thickness, and cognitive tests did not improve the test accuracy. The volume of amygdala and caudate were independent variables in predicting conversion from MCI to dementia due to AD
Conflict of interests The authors declared no conflicts of interest
Notes Source of funding: the study was funded by the European Union, AddNeuroMed/Innovative Medicines LSHB‐CT‐2005‐518170; Yawu Liu was funded by Health Research Council of the Academy of Finland, grant 121038, and EVO grants 577209 and 5772720 from Kuopio University Hospital
2 x 2 table: data from the published article; only hippocampal volume measure was considered for the review purpose
Methodological quality
Item Authors' judgement Risk of bias Applicability concerns
DOMAIN 1: Patient Selection
Was a consecutive or random sample of patients enrolled? No    
Was a case‐control design avoided? Yes    
Did the study avoid inappropriate exclusions? Yes    
    High Low
DOMAIN 2: Index Test All tests
Were the index test results interpreted without knowledge of the results of the reference standard? Unclear    
Did the study provide a clear pre‐specified definition of what was considered to be a "positive" result of the index test? No    
Was the index test performed by a single operator or interpreted by consensus in a joint session? Unclear    
    High Low
DOMAIN 3: Reference Standard
Is the reference standards likely to correctly classify the target condition? Yes    
Were the reference standard results interpreted without knowledge of the results of the index tests? Yes    
    Low Low
DOMAIN 4: Flow and Timing
Was there an appropriate interval between index test and reference standard? Yes    
Did all patients receive the same reference standard? Yes    
Were all patients included in the analysis? Yes    
    Low