Cited by 435Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsClinical Laboratory Practices and Quality Control

Performance of Fully Automated Plasma Assays as Screening Tests for Alzheimer Disease–Related β-Amyloid Status

Open access
Palmqvist, Sebastian, Janelidze, Shorena, Stomrud, Erik, Zetterberg, Henrik, Karl, Johann, Zink, Katharina, Bittner, Tobias, Mattsson, Niklas +3 more·2019·JAMA Neurology

Abstract

IMPORTANCE: Accurate blood-based biomarkers for Alzheimer disease (AD) might improve the diagnostic accuracy in primary care, referrals to memory clinics, and screenings for AD trials. OBJECTIVE: To examine the accuracy of plasma β-amyloid (Aβ) and tau measured using fully automated assays together with other blood-based biomarkers to detect cerebral Aβ. DESIGN, SETTING, AND PARTICIPANTS: Two prospective, cross-sectional, multicenter studies. Study participants were consecutively enrolled between July 6, 2009, and February 11, 2015 (cohort 1), and between January 29, 2000, and October 11, 2006 (cohort 2). Data were analyzed in 2018. The first cohort comprised 842 participants (513 cognitively unimpaired [CU], 265 with mild cognitive impairment [MCI], and 64 with AD dementia) from the Swedish BioFINDER study. The validation cohort comprised 237 participants (34 CU, 109 MCI, and 94 AD dementia) from a German biomarker study. MAIN OUTCOME AND MEASURES: The cerebrospinal fluid (CSF) Aβ42/Aβ40 ratio was used as the reference standard for brain Aβ status. Plasma Aβ42, Aβ40 and tau were measured using Elecsys immunoassays (Roche Diagnostics) and examined as predictors of Aβ status in logistic regression models in cohort 1 and replicated in cohort 2. Plasma neurofilament light chain (NFL) and heavy chain (NFH) and APOE genotype were also examined in cohort 1. RESULTS: The mean (SD) age of the 842 participants in cohort 1 was 72 (5.6) years, with a range of 59 to 88 years, and 446 (52.5%) were female. For the 237 in cohort 2, mean (SD) age was 66 (10) years with a range of 23 to 85 years, and 120 (50.6%) were female. In cohort 1, plasma Aβ42 and Aβ40 predicted Aβ status with an area under the receiver operating characteristic curve (AUC) of 0.80 (95% CI, 0.77-0.83). When adding APOE, the AUC increased significantly to 0.85 (95% CI, 0.82-0.88). Slight improvements were seen when adding plasma tau (AUC, 0.86; 95% CI, 0.83-0.88) or tau and NFL (AUC, 0.87; 95% CI, 0.84-0.89) to Aβ42, Aβ40 and APOE. The results were similar in CU and cognitively impaired participants, and in younger and older participants. Applying the plasma Aβ42 and Aβ40 model from cohort 1 in cohort 2 resulted in slightly higher AUC (0.86; 95% CI, 0.81-0.91), but plasma tau did not contribute. Using plasma Aβ42, Aβ40, and APOE in an AD trial screening scenario reduced positron emission tomography costs up to 30% to 50% depending on cutoff. CONCLUSIONS AND RELEVANCE: Plasma Aβ42 and Aβ40 measured using Elecsys immunoassays predict Aβ status in all stages of AD with similar accuracy in a validation cohort. Their accuracy can be further increased by analyzing APOE genotype. Potential future applications of these blood tests include prescreening of Aβ positivity in clinical AD trials to lower the costs and number of positron emission tomography scans or lumbar punctures.

AI snapshot

Written from the paper’s full text.

TL;DR

In two cross-sectional cohorts, fully automated Elecsys plasma Aβ42/Aβ40 and separate Aβ42/Aβ40 models predicted cerebral Aβ status with AUCs of 0.77–0.86, and APOE genotype improved accuracy. These blood-based assays may serve as prescreening tools to reduce PET/CSF testing, though accuracy alone is not sufficient for clinical use.

Key findings

  • In BioFINDER (n = 842), plasma Aβ42/Aβ40 ratio predicted Aβ positivity with an AUC of 0.77 (95% CI, 0.74–0.81); using Aβ42 and Aβ40 as separate predictors improved the AUC to 0.80 (95% CI, 0.77–0.83; P = .01; ΔAIC, –66).
  • Adding APOE genotype to plasma Aβ42 and Aβ40 increased the AUC significantly from 0.80 to 0.85 (95% CI, 0.82–0.88; P < .001); adding tau then NFL raised the AUC to 0.86 and 0.87, respectively.
  • In the independent validation cohort (n = 237), applying the BioFINDER Aβ42 + Aβ40 model yielded an AUC of 0.86 (95% CI, 0.81–0.91); adding tau yielded an AUC of 0.84 (95% CI, 0.79–0.89). At BioFINDER-derived cutoffs, Aβ42/Aβ40 had sensitivity 75% and specificity 72% in BioFINDER and 70%/73% in validation; Aβ42 + Aβ40 had 73%/76% and 89%/69%, respectively.
  • In a cost-benefit scenario for 1000 Aβ-positive trial participants and $4000 per Aβ PET, using plasma Aβ42, Aβ40, and APOE at the highest Youden cutoff reduced PET scans by approximately 800 and lowered PET costs by approximately $3.2 million (from a total of approximately $9.2 million).

Methods

  • Two cross-sectional studies: BioFINDER enrolled participants from July 6, 2009, to February 11, 2015, in southern Sweden; after exclusions, 842 participants were included (513 cognitively unimpaired, 265 mild cognitive impairment, 64 AD dementia). The independent validation cohort included 237 participants from Ulm and Hannover, Germany (34 CU, 109 MCI, 94 AD mild dementia).
  • Plasma Aβ42, Aβ40, and tau were measured with fully automated Elecsys immunoassays on a cobas e 601 analyzer; Aβ status was defined by CSF Aβ42/Aβ40 < 0.059, with a secondary reference standard of CSF P-tau/Aβ42 ≥ 0.022. APOE genotype and plasma NFL/NFH were also examined in BioFINDER.
  • Logistic regression models were built in BioFINDER using AIC for model selection, with AUC/ROC and DeLong statistics for comparisons; BioFINDER model estimates and intercepts were applied to the validation cohort.

Limitations

  • Paper-stated: the validation analysis lacked APOE data, plasma tau did not improve the replicated model, and the smaller validation population prevented subpopulation analyses. The authors also state that overall Aβ42/Aβ40 accuracy is not sufficient as a stand-alone clinical test and that further studies are needed in lower-prevalence primary care settings and more heterogeneous dementia cohorts.
  • Text-evident: the study design is cross-sectional; in BioFINDER all AD dementia participants were Aβ positive by definition, so AD could not be examined separately using Aβ status as outcome; 101 plasma NFH measurements were below the assay detection limit.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1001/jamaneurol.2019.1632

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 43 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    In the validation cohort, the combination of plasma Aβ42 and Aβ40 had a sensitivity of 89% and specificity of 69% for Aβ status.

    “Aβ42, Aβ40 | 0.45 | 89 (80-95) | 69 (54-81)”
    Quote in the paperSubstantial claim
  • Findingown data

    In the validation cohort, the combination of plasma Aβ42, Aβ40, and tau had a sensitivity of 89% and specificity of 64% for Aβ status.

    “Aβ42, Aβ40, tau | 0.36 | 89 (74-94) | 64 (49-74)”
    Quote in the paperSubstantial claim
  • Findingown data

    In the validation cohort, applying the BioFINDER model that included plasma Aβ42, Aβ40, and tau gave a slightly lower AUC (0.84; 95% CI, 79-89) than using only plasma Aβ42 and Aβ40.

    “When applying the BioFINDER model that included plasma Aβ42, Aβ40, and tau in the validation cohort, the AUC was slightly lower than when using only plasma Aβ42 and Aβ40 (AUC, 0.84; 95% CI, 79-89).”
    Quote in the paperNot a substantial claim
  • Findingown data

    In the BioFINDER cohort, the combination of plasma Aβ42, Aβ40, tau, NFL, and APOE had a sensitivity of 73% and specificity of 86% for Aβ status.

    “Aβ42, Aβ40, tau, NFL, APOE | 0.52 | 73 (64-78) | 86 (77-89)”
    Quote in the paperSubstantial claim
  • Findingown data

    When comparing Aβ groups stratified by diagnostic subgroup, plasma levels of Aβ42 were lower in CU Aβ-positive, MCI Aβ-positive and AD Aβ-positive dementia groups compared with CU Aβ-negative and MCI Aβ-negative groups.

    “When comparing Aβ groups stratified by diagnostic subgroup, plasma levels of Aβ42 were lower in the CU Aβ-positive, MCI Aβ-positive and AD Aβ-positive dementia groups compared with the CU Aβ-negative and MCI Aβ-negative groups (P < .001 for all; Figure 1D).”
    Quote in the paperSubstantial claim
  • May combine two claims. 20
  • Classified as probably not a substantial claim. 9
  • May combine two claims.

    Findingown data

    Using the highest Youden index cutoff for plasma Aβ42, Aβ40, and APOE reduces the number of PET scans by approximately 800 and lowers PET costs by approximately $3.2 million (from a total cost of approximately $9.2 million).

    “For example, using the highest Youden index cutoff (Table 2) for plasma Aβ42, Aβ40, and APOE reduces the number of PET scans by approximately 800 and lowers the PET costs by approximately $3.2 million (from a total cost of approximately $9.2 million).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    With the alternative reference standard CSF P-tau/Aβ42 ≥ 0.022, the accuracy for plasma Aβ42 and Aβ40 was slightly lower (AUC, 0.83; 95% CI, 0.78-0.89) but still better than the corresponding BioFINDER results (AUC, 0.79; 95% CI, 0.76-0.82).

    “With the alternative reference standard for Aβ status (CSF P-tau/Aβ42 ≥ 0.022; eFigure 4 in the Supplement), the accuracy was slightly lower for plasma Aβ42 and Aβ40 (AUC, 0.83; 95% CI, 0.78-0.89) but still better than the corresponding results in the BioFINDER cohort (AUC, 0.79; 95% CI, 0.76-0.82; eFigure 3 in the Supplement).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The accuracy of the biomarkers was similar in different age groups and in those with and without cognitive impairment (AUC ±0.02 compared with the total population).

    “We also tested the accuracy of the biomarkers in different age groups and in those with and without cognitive impairment (Figure 3; eTable 4 and eTable 6 in the Supplement), with similar results (AUC ±0.02 compared with the total population).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In the independent validation cohort (n = 237), the AUC for plasma Aβ42 and Aβ40 to predict Aβ positivity was 0.86 (95% CI, 0.81-0.91) when applying the BioFINDER model, compared with 0.80 (95% CI, 0.77-0.83) in BioFINDER.

    “The AUC for plasma Aβ42 and Aβ40 to predict Aβ positivity was 0.86 (95% CI, 0.81-0.91) when applying the estimates from the model established in BioFINDER (compared with an AUC of 0.80, 95% CI 0.77-0.83 in BioFINDER).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Using plasma Aβ42 and Aβ40 as separate predictors in a logistic regression resulted in a slightly but significantly better AUC (0.80; 95% CI, 0.77-0.83; P = .01) and a better model fit (ΔAIC, -66) than the plasma Aβ42/Aβ40 ratio.

    “Using plasma Aβ42 and Aβ40 as separate predictors in a logistic regression resulted in a slightly but significantly better AUC (0.80; 95% CI, 0.77-0.83; P = .01) and a better model fit (ΔAIC, –66).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In CU and cognitively impaired participants, results were similar, except that plasma tau and NFL were not significant predictors in the cognitively impaired group.

    “The results were similar in CU and cognitively impaired participants, respectively, except that plasma tau and NFL were not a significant predictor in the cognitively impaired group (eTable 4 in the Supplement).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Using Aβ40 as a separate predictor instead of the fixed Aβ42/Aβ40 ratio improved both model fit and accuracy (AUC 0.77 vs 0.80; P = .01; ΔAIC -66).

    “We found that instead of using the fixed ratio of Aβ42/Aβ40, both the model fit (AIC) and accuracy (AUC) were slightly but significantly improved when the model was adjusted for Aβ40 concentrations independent of Aβ42 (ie, used as a separate predictor in the logistic regression models) (AUC 0.77 vs 0.80; P = .01; ΔAIC –66; eTable 4 in the Supplement).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Compared with plasma tau and NFL, plasma NFH had a poorer performance and did not improve accuracy.

    “Compared with plasma tau and NFL, plasma NFH had a poorer performance and did not improve accuracy (eTable 5 in the Supplement).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    β-Amyloid status was determined using the Elecsys CSF Aβ42/Aβ40 ratio, which has been validated against amyloid PET status with more than 90% agreement.

    “β-Amyloid status was determined using the Elecsys CSF Aβ42/Aβ40 ratio, which is a ratio that has been validated against amyloid PET status with more than 90% agreement.32,33,34”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [32] Janelidze S, Zetterberg H, Mattsson N,; Swedish BioFINDER study group CSF Aβ42/Aβ40 and Aβ42/Aβ38 ratios: better diagnostic markers of Alzheimer disease. Ann Clin Transl Neurol. 2016; 3(3): 154- 165. doi: 10.1002/acn3.274 27042676 PMC4774260

      Not checked in the free run.

    • cites [33] Leuzy A, Chiotis K, Hasselbalch SG, Pittsburgh compound B imaging and cerebrospinal fluid amyloid-β in a multicentre European memory clinic study. Brain. 2016; 139(Pt 9): 2540- 2553. doi: 10.1093/brain/aww160 27401520 PMC4995359

      Not checked in the free run.

    • cites [34] Lewczuk P, Matzen A, Blennow K, Cerebrospinal fluid Aβ42/40 corresponds better than Aβ42 to amyloid PET in Alzheimer’s disease. J Alzheimers Dis. 2017; 55(2): 813- 822. doi: 10.3233/JAD-160722 27792012 PMC5147502

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Study design and conductnone given

    The validation cohort is independent.

    “For the independent validation cohort, the study was approved by the ethical committee of the Medizinische Hochschule in Hannover and the ethical committee of the University of Ulm, and all participants gave written informed consent.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Many candidate blood biomarkers have failed in replication studies, but somewhat promising results have been seen for plasma tau, NFL, and combinations of Aβ42 and Aβ40.

    “Many candidate blood biomarkers have failed in replication studies,7,8 but somewhat promising results have been seen for plasma tau, neurofilament light chain (NFL), and combinations of Aβ42 and Aβ40.9,10,11,12,13,14,15,16,17”
    Quote in the paperSubstantial claim0 of 10 sources checked
    • cites [7] Keshavan A, Heslegrave A, Zetterberg H, Schott JM Blood biomarkers for Alzheimer’s disease: much promise, cautious progress. Mol Diagn Ther. 2017; 21(1): 13- 22. doi: 10.1007/s40291-016-0241-0 27738910

      Not checked in the free run.

    • cites [8] Voyle N, Baker D, Burnham SC,; AIBL research group Blood protein markers of neocortical amyloid-β burden: a candidate study using SOMAscan technology. J Alzheimers Dis. 2015; 46(4): 947- 961. doi: 10.3233/JAD-150020 25881911 PMC4923714

      Not checked in the free run.

    • cites [9] Chatterjee P, Goozee K, Sohrabi HR, Association of plasma neurofilament light chain with neocortical amyloid-β load and cognitive performance in cognitively normal elderly participants. J Alzheimers Dis. 2018; 63(2): 479- 487. doi: 10.3233/JAD-180025 29630554

      Not checked in the free run.

    • cites [10] Dage JL, Wennberg AMV, Airey DC, Levels of tau protein in plasma are associated with neurodegeneration and cognitive function in a population-based elderly cohort. Alzheimers Dement. 2016; 12(12): 1226- 1234. doi: 10.1016/j.jalz.2016.06.001 27436677 PMC5148697 source

      Not checked in the free run.

    • cites [11] Deters KD, Risacher SL, Kim S,; Alzheimer Disease Neuroimaging Initiative Plasma tau association with brain atrophy in mild cognitive impairment and Alzheimer’s disease. J Alzheimers Dis. 2017; 58(4): 1245- 1254. doi: 10.3233/JAD-161114 28550246 PMC5523909

      Not checked in the free run.

    • cites [12] Fandos N, Pérez-Grijalba V, Pesini P,; AIBL Research Group Plasma amyloid β 42/40 ratios as biomarkers for amyloid β cerebral deposition in cognitively normal individuals. Alzheimers Dement (Amst). 2017; 8: 179- 187. 28948206 PMC5602863 source

      Not checked in the free run.

    • cites [13] Janelidze S, Stomrud E, Palmqvist S, Plasma β-amyloid in Alzheimer’s disease and vascular disease. Sci Rep. 2016; 6: 26801. doi: 10.1038/srep26801 27241045 PMC4886210 source

      Not checked in the free run.

    • cites [14] Lue LF, Sabbagh MN, Chiu MJ, Plasma levels of Aβ42 and tau identified probable Alzheimer’s dementia: findings in two cohorts. Front Aging Neurosci. 2017; 9: 226. doi: 10.3389/fnagi.2017.00226 28790911 PMC5522888

      Not checked in the free run.

    • cites [15] Mattsson N, Andreasson U, Zetterberg H, Blennow K; Alzheimer’s Disease Neuroimaging Initiative Association of plasma neurofilament light with neurodegeneration in patients with Alzheimer disease. JAMA Neurol. 2017; 74(5): 557- 566. doi: 10.1001/jamaneurol.2016.6117 28346578 PMC5822204 source

      Not checked in the free run.

    • cites [16] Mattsson N, Zetterberg H, Janelidze S,; ADNI Investigators Plasma tau in Alzheimer disease. Neurology. 2016; 87(17): 1827- 1835. doi: 10.1212/WNL.0000000000003246 27694257 PMC5089525 source

      Not checked in the free run.

  • May combine two claims.

    Interpretationown data

    The present Elecsys assays produced among the best accuracies and are the first fully automated assays to have these greater accuracies.

    “Although previous studies have found associations between CSF and PET Aβ and plasma Aβ using different immunoassays,7,12,13,14,44,45 the present Elecsys assays produced among the best accuracies and they are the first fully automated assays to have these greater accuracies.”
    Quote in the paperSubstantial claim0 of 6 sources checked
    • cites [7] Keshavan A, Heslegrave A, Zetterberg H, Schott JM Blood biomarkers for Alzheimer’s disease: much promise, cautious progress. Mol Diagn Ther. 2017; 21(1): 13- 22. doi: 10.1007/s40291-016-0241-0 27738910 source

      Not checked in the free run.

    • cites [12] Fandos N, Pérez-Grijalba V, Pesini P,; AIBL Research Group Plasma amyloid β 42/40 ratios as biomarkers for amyloid β cerebral deposition in cognitively normal individuals. Alzheimers Dement (Amst). 2017; 8: 179- 187. 28948206 PMC5602863 source

      Not checked in the free run.

    • cites [13] Janelidze S, Stomrud E, Palmqvist S, Plasma β-amyloid in Alzheimer’s disease and vascular disease. Sci Rep. 2016; 6: 26801. doi: 10.1038/srep26801 27241045 PMC4886210 source

      Not checked in the free run.

    • cites [14] Lue LF, Sabbagh MN, Chiu MJ, Plasma levels of Aβ42 and tau identified probable Alzheimer’s dementia: findings in two cohorts. Front Aging Neurosci. 2017; 9: 226. doi: 10.3389/fnagi.2017.00226 28790911 PMC5522888 source

      Not checked in the free run.

    • cites [44] Kim HJ, Park KW, Kim TE, Elevation of the plasma Aβ40/Aβ42 ratio as a diagnostic marker of sporadic early-onset Alzheimer’s disease. J Alzheimers Dis. 2015; 48(4): 1043- 1050. doi: 10.3233/JAD-143018 26444752 source

      Not checked in the free run.

    • cites [45] Mayeux R, Honig LS, Tang MX, Plasma A[beta]40 and A[beta]42 and Alzheimer’s disease: relation to age, mortality, and risk. Neurology. 2003; 61(9): 1185- 1190. doi: 10.1212/01.WNL.0000091890.32140.8F 14610118 source

      Not checked in the free run.

    • Rests on an assumption: Mass spectrometry-based techniques are labor-intensive, time-consuming, low-throughput methods that currently are not feasible to implement in clinical practice on a large scale.
    • Rests on an assumption: Fully automated Elecsys assays are already implemented in many clinical chemistry laboratories worldwide that provide analyses (eg, for primary care).
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Detection of abnormal Aβ accumulation (Aβ positivity) may support the clinical diagnosis of AD and is essential for including participants in clinical AD trials targeting Aβ.

    “Detection of abnormal Aβ accumulation (Aβ positivity) may support the clinical diagnosis of AD1,2 and is essential for including participants in clinical AD trials targeting Aβ.3”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [1] Albert MS, DeKosky ST, Dickson D, The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 2011; 7(3): 270- 279. doi: 10.1016/j.jalz.2011.03.008 21514249 PMC3312027 source

      Not checked in the free run.

    • cites [2] McKhann GM, Knopman DS, Chertkow H, The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 2011; 7(3): 263- 269. doi: 10.1016/j.jalz.2011.03.005 21514250 PMC3312024 source

      Not checked in the free run.

    • cites [3] Mattsson N, Carrillo MC, Dean RA, Revolutionizing Alzheimer’s disease and clinical trials through biomarkers. Alzheimers Dement (Amst). 2015; 1(4): 412- 419. 27239522 PMC4879481

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    More recent studies have demonstrated that the plasma Aβ42/Aβ40 ratio correlates with brain Aβ and can differentiate patients with AD from healthy control participants.

    “more recent studies have demonstrated that it correlates with brain Aβ and can differentiate patients with AD from healthy control participants.12,13”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [12] Fandos N, Pérez-Grijalba V, Pesini P,; AIBL Research Group Plasma amyloid β 42/40 ratios as biomarkers for amyloid β cerebral deposition in cognitively normal individuals. Alzheimers Dement (Amst). 2017; 8: 179- 187. 28948206 PMC5602863 source

      Not checked in the free run.

    • cites [13] Janelidze S, Stomrud E, Palmqvist S, Plasma β-amyloid in Alzheimer’s disease and vascular disease. Sci Rep. 2016; 6: 26801. doi: 10.1038/srep26801 27241045 PMC4886210 source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Measuring plasma Aβ presents the same challenges as measuring CSF Aβ in that several analysis methods exist and unified cutoffs have been difficult to establish, even using the same assay, owing to high variability between laboratories and assay batches.

    “Measuring plasma Aβ presents the same challenges as measuring CSF Aβ in that several analysis methods exist and unified cutoffs have been difficult to establish, even using the same assay, owing to high variability between laboratories and assay batches.21,22”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [21] Mattsson N, Andreasson U, Persson S,; Alzheimer’s Association QC Program Work Group CSF biomarker variability in the Alzheimer’s Association quality control program [published correction appears in Alzheimers Dement. 2015;11(2):237]. Alzheimers Dement. 2013; 9(3): 251- 261. doi: 10.1016/j.jalz.2013.01.010 23622690 PMC3707386

      Not checked in the free run.

    • cites [22] Vos SJ, Visser PJ, Verhey F, Variability of CSF Alzheimer’s disease biomarkers: implications for clinical practice. PLoS One. 2014; 9(6): e100784. doi: 10.1371/journal.pone.0100784 24959687 PMC4069102

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    The significant findings were very similar when adjusting for age and sex.

    “The significant findings were very similar when adjusting for age and sex (data not shown).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Study design and conductcitation

    An unbiased cutoff of less than 0.059 was used to define Aβ positivity based on mixture modeling statistics, which previously has proved to provide robust and accurate thresholds.

    “An unbiased cutoff of less than 0.059 was used to define Aβ positivity based on mixture modeling statistics, which previously has proved to provide robust and accurate thresholds.35,36”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [35] Bertens D, Tijms BM, Scheltens P, Teunissen CE, Visser PJ Unbiased estimates of cerebrospinal fluid β-amyloid 1-42 cutoffs in a large memory clinic population. Alzheimers Res Ther. 2017; 9(1): 8. doi: 10.1186/s13195-016-0233-7 28193256 PMC5307885 source

      Not checked in the free run.

    • cites [36] Palmqvist S, Schöll M, Strandberg O, Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity. Nat Commun. 2017; 8(1): 1214. doi: 10.1038/s41467-017-01150-x 29089479 PMC5663717 source

      Not checked in the free run.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    β-Amyloid can be detected in vivo using PET with ligands that bind to Aβ fibrils or by measuring levels of Aβ1-42 (Aβ42) in CSF.

    “β-Amyloid can be detected in vivo using positron emission tomography (PET) with ligands that bind to Aβ fibrils or by measuring the levels of the peptide Aβ1-42 (Aβ42) in cerebrospinal fluid (CSF).4”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [4] Blennow K, Mattsson N, Schöll M, Hansson O, Zetterberg H Amyloid biomarkers in Alzheimer’s disease. Trends Pharmacol Sci. 2015; 36(5): 297- 309. doi: 10.1016/j.tips.2015.03.002 25840462 source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    Plasma NFH, NFL, and APOE genotype were not available in the validation cohort.

    “Plasma NFH, NFL, and APOE genotype were not available in the validation cohort.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    For Elecsys immunoassays, CSF cutoffs established in one European cohort could be applied to another independent cohort in the United States to determine amyloid PET status with high accuracy.

    “For example, for the Elecsys immunoassays (Roche Diagnostics), it has been shown that CSF cutoffs established in one European cohort could be applied to another independent cohort in the United States to determine amyloid PET status with high accuracy.24”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [24] Hansson O, Seibyl J, Stomrud E,; Swedish BioFINDER study group; Alzheimer’s Disease Neuroimaging Initiative CSF biomarkers of Alzheimer’s disease concord with amyloid-β PET and predict clinical progression: A study of fully automated immunoassays in BioFINDER and ADNI cohorts. Alzheimers Dement. 2018; 14(11): 1470- 1481. doi: 10.1016/j.jalz.2018.01.010 29499171 PMC6119541 source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    The current standardized plasma handling protocol is consistent with recent findings that blood must be centrifuged within 1 hour and frozen shortly thereafter; up to 3 freeze-thaw cycles and 5 tube transfers do not affect plasma Aβ and tau values.

    “The current standardized protocol is consistent with recent findings that blood must be centrifuged within 1 hour and frozen shortly thereafter; however, up to 3 freeze-thaw cycles and 5 tube transfers do not affect plasma Aβ and tau values.30”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [30] Rózga M, Bittner T, Batrla R, Karl J Preanalytical sample handling recommendations for Alzheimer’s disease plasma biomarkers. Alzheimers Dement (Amst). 2019; 11: 291- 300.. 30984815 PMC6446057 source

      Not checked in the free run.

  • May combine two claims.

    Study design and conductown data

    The validation cohort had a smaller population size, resulting in a lack of analyses in subpopulations.

    “Limitations of the present validation analysis include the lack of APOE data, the lack of improvement when replicating the model that included plasma tau, and the smaller population size, resulting in a lack of analyses in subpopulations.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    This robust result is similar to what has been shown when using the Elecsys assays for CSF to establish a cutoff in one cohort and replicating it in a second cohort.

    “This robust result is similar to what has been shown when using the Elecsys assays for CSF to establish a cutoff in one cohort and replicating it in a second cohort.24”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [24] Hansson O, Seibyl J, Stomrud E,; Swedish BioFINDER study group; Alzheimer’s Disease Neuroimaging Initiative CSF biomarkers of Alzheimer’s disease concord with amyloid-β PET and predict clinical progression: A study of fully automated immunoassays in BioFINDER and ADNI cohorts. Alzheimers Dement. 2018; 14(11): 1470- 1481. doi: 10.1016/j.jalz.2018.01.010 29499171 PMC6119541 source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    NFL is generally a late biomarker in the disease process and a non-AD specific biomarker for axonal degeneration.

    “Because NFL generally is late biomarker in the disease process and a non–AD specific biomarker for axonal degeneration,15 the poor result could be because most of the participants (513 of 842) were cognitively unimpaired and only 64 had AD dementia.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [15] Mattsson N, Andreasson U, Zetterberg H, Blennow K; Alzheimer’s Disease Neuroimaging Initiative Association of plasma neurofilament light with neurodegeneration in patients with Alzheimer disease. JAMA Neurol. 2017; 74(5): 557- 566. doi: 10.1001/jamaneurol.2016.6117 28346578 PMC5822204 source

      Not checked in the free run.

24 of 24
  • The paper relies on this without support.

    The costs and limited access to PET or CSF analysis restrict their use to a minority of cases.

    “The costs and limited access to PET or CSF analysis may restrict their use to a minority of cases.”
  • The paper relies on this without support.

    There is a great need for readily available methods that can detect brain Aβ.

    “There is thus a great need for readily available methods that can detect brain Aβ, and perhaps the most desirable goal has been to establish blood-based biomarkers of Aβ.”
  • The paper relies on this without support.

    Prior promising plasma Aβ studies are costly and need extensive development before they can be implemented in primary care or large screenings.

    “Although these studies are promising and show the potential of plasma Aβ as a true AD biomarker, they are costly and need extensive development before they can be implemented in primary care or in large screenings where cost-effective, fully automated, high-throughput, and highly reliable analysis methods are needed.”
  • The paper relies on this without support.

    Mass spectrometry-based techniques are labor-intensive, time-consuming, low-throughput methods that currently are not feasible to implement in clinical practice on a large scale.

    “However, these are labor-intensive, time-consuming, low-throughput methods that currently are not feasible to implement in clinical practice on a large scale.”
  • The paper relies on this without support.

    Fully automated Elecsys assays are already implemented in many clinical chemistry laboratories worldwide that provide analyses (eg, for primary care).

    “Fully automated Elecsys assays, on the other hand, are already implemented in many clinical chemistry laboratories worldwide that provide analyses (eg, for primary care).”
  • The paper relies on this without support.

    There is an ongoing great need to recruit large cohorts for AD drug trials in preclinical and prodromal stages.

    “Although further validation studies are needed, this illustrates the potential usefulness blood assays might have, especially considering the ongoing great need to recruit large cohorts for AD drug trials in preclinical and prodromal stages.”
  • The paper relies on this without support.

    Aβ40 acts as a reference peptide that accounts for interindividual variability in the overall Aβ production and CSF turnover.

    “Here, Aβ40 acts as a reference peptide that accounts for interindividual variability in the overall Aβ production and CSF turnover.”
7 of 7

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Aβ-positive cutoff includes equality in one place but excludes it in another

    Minor

    The methods define positivity as a CSF ratio strictly less than 0.059, while the figure caption defines it as less than or equal to 0.059. A participant with a ratio exactly equal to 0.059 would be classified differently.

  • Reported CSF ratio SD is incompatible with the group cutoff

    Minor

    Table 1 reports an SD of 0.098 for the MCI Aβ-positive CSF ratio. Because this group's ratios are nonnegative and at most 0.059, an SD that large is impossible with the reported mean of 0.040.

  • Aβ40 group comparison cites the ratio panel

    Minor

    The text cites Figure 1E for the stratified plasma Aβ40 comparison, whereas the figure caption assigns Aβ40 to panel D and the ratio to panel E for the unstratified comparison.

  • Aβ42 group comparison cites the Aβ40 panel

    Minor

    The text directs readers to Figure 1D for the stratified plasma Aβ42 comparison, but the figure caption identifies panel B as Aβ42 and panel D as Aβ40.

4 of 4

Cites

Flagged first, then by citations

Research works printed but not linked: 6

  1. Janelidze, 2016, CSF Aß42/Aß40 and Aß42/Aß38 ratios: better diagnostic markers of Alzheimer disease., Ann Clin Transl Neurol, 3, 154, 10.1002/acn3.274 · DOI · Paper page
  2. McKhann, 1984, Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease., Neurology, 34, 939, 10.1212/WNL.34.7.939 · DOI · Paper page
  3. Palmqvist, 2018, Accurate risk estimation of beta-amyloid positivity to identify prodromal Alzheimer’s disease: cross-validation study of practical algorithms., Alzheimers Dement
  4. Olofsen, 2013, Using Akaike’s information theoretic criterion in mixed-effects modeling of pharmacokinetic data: a simulation study., F1000Res, 2, 71, 10.12688/f1000research · DOI
  5. Mayeux, 2003, Plasma A[beta]40 and A[beta]42 and Alzheimer’s disease: relation to age, mortality, and risk., Neurology, 61, 1185, 10.1212/01.WNL.0000091890.32140.8F · DOI · Paper page
  6. Hansson, 2017, Blood-based NfL: a biomarker for differential diagnosis of parkinsonian disorder., Neurology, 88, 930, 10.1212/WNL.0000000000003680 · DOI · Paper page

Cited by

Sorted by citations

Authors
Palmqvist, S., Janelidze, S., Stomrud, E., Zetterberg, H., Karl, J., Zink, K., Bittner, T., Mattsson, N., Eichenlaub, U., Blennow, K., & Hansson, O.
Affiliations
  • Lund University (SE)
  • Sahlgrenska University Hospital (SE)
  • Roche Diagnostics GmbH, Penzberg, Germany
  • F. Hoffmann-La Roche AG (CH)
Corresponding author
  • Palmqvist, Sebastian
  • Hansson, Oskar
Venue
JAMA Neurology
Published
2019-09-01
Volume
76
Issue
9
Pages
1060
ISSN
2168-6149 (ISSN-L)
OpenAlex
W2952677120
Cited by
435
References
41
Citations by year
2026: 38 · 2025: 48 · 2024: 79 · 2023: 65 · 2022: 63 · 2021: 75 · 2020: 51 · 2019: 15 · 2015: 1
FWCI
40.54
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • JAMA Neurology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Lund University Publications (Lund University) (submittedVersion)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
Keywords
Alzheimer's disease, plasma amyloid-beta, plasma tau, blood-based biomarkers, automated immunoassay, APOE genotype, neurofilament light chain, neurofilament heavy chain, mild cognitive impairment, diagnostic accuracy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review