The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
The diagnostic performance of neurofilament light chain in CSF and blood for Alzheimer's disease, frontotemporal dementia, and amyotrophic lateral sclerosis: A systematic review and meta‐analysis
Open accessAbstract
Introduction: A systematic review and meta‐analysis was performed regarding the diagnostic performance of neurofilament light chain (NfL) in CSF and blood. Methods: A database search was conducted for NfL biomarker studies in the context of Alzheimer's disease (AD), frontotemporal dementia (FTD), and amyotrophic lateral sclerosis (ALS) compared with controls (i.e., cognitively unimpaired, mild cognitive impairment, or disease mimics). Results: In groups with a sufficient number of studies, the performance of NfL in blood and CSF was similar. Compared with disease mimics, we observed that CSF NfL had strong discriminatory power for ALS, modest discriminatory power for FTD, and no discriminatory power for AD. NfL provided the greatest separation between ALS and cognitively unimpaired controls in both the blood and CSF, followed by FTD (CSF and blood), then AD (blood and CSF). Discussion: Comparable performance of CSF and blood NfL in many groups demonstrates the promise of NfL as a noninvasive biomarker of neurodegeneration; however, its utility in clinically meaningful scenarios requires greater scrutiny. Toward clinical implementation, a more comprehensive understanding of NfL concentrations in disease subtypes with overlapping phenotypes and at defined stages of disease, and the development of a harmonization program, are warranted.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures





Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
In the citing paper
“Similar to what was observed in CSF, serum and plasma NfL are elevated in FTD compared to AD, but with limited utility in discriminating FTD from AD.”
From New developments of biofluid‐based biomarkers for routine diagnosis and disease trajectories in frontotemporal dementia (2022) · cites this paper as [89]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
Wang, G., Ma, R., Qiao, G., Wada, K., Aizawa, Y., & Satoh, T. (2015) · Integrative Medicine International · doi:10.1159/000368408 · Cited by 18,762
Estimating the mean and variance from the median, range, and the size of a sample
Hozo, S. P., Djulbegovic, B., & Hozo, I. (2005) · BMC Medical Research Methodology · doi:10.1186/1471-2288-5-13 · Cited by 9,062
Brown, R. H., & Al‐Chalabi, A. (2017) · New England Journal of Medicine · doi:10.1056/nejmra1603471 · Cited by 2,580
IntHout, J., Ioannidis, J. P., & Borm, G. F. (2014) · BMC Medical Research Methodology · doi:10.1186/1471-2288-14-25 · Cited by 2,419
Olsson, B., Lautner, R., Andreasson, U., Öhrfelt, A., Portelius, E., Bjerke, M., Hölttä, M., Rosén, C., Olsson, C., Strobel, G., et al. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(16)00070-3 · Cited by 2,049
A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Feldman, H. H., Frisoni, G. B., Hampel, H., Jagust, W. J., Johnson, K. A., Knopman, D. S., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000002923 · Cited by 1,864
Serum neurofilament light: a biomarker of neuronal damage in multiple sclerosis
Disanto, G., Barro, C., Benkert, P., Naegelin, Y., Schädelin, S., Giardiello, A., Zecca, C., Blennow, K., Zetterberg, H., Leppert, D., et al. (2017) · Annals of Neurology · doi:10.1002/ana.24954 · Cited by 1,164
Research works printed but not linked: 1
- Schwarzer G., 2007, meta: an R package for meta‐analysis, R News, 7, 40
Cited by
Sorted by citations
Mead, R. J., Shan, N., Reiser, H. J., Marshall, F., & Shaw, P. J. (2023) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00612-2 · Cited by 505
Pathogenesis, diagnostics, and therapeutics for Alzheimer's disease: Breaking the memory barrier
Tryphena, K. P., Shukla, R., Khatri, D. K., & Vora, L. K. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102481 · Cited by 438
Moscoso, A., Grothe, M. J., Ashton, N. J., Karikari, T. K., Lantero‐Rodriguez, J., Snellman, A., Suárez‐Calvet, M., Blennow, K., Zetterberg, H., Schöll, M., et al. (2021) · JAMA Neurology · doi:10.1001/jamaneurol.2020.4986 · Cited by 314
Baiardi, S., Quadalti, C., Mammana, A., Dellavalle, S., Zenesini, C., Sambati, L., Pantieri, R., Polischi, B., Romano, L., Suffritti, M., et al. (2022) · Alzheimer's Research & Therapy · doi:10.1186/s13195-022-01093-6 · Cited by 193
Frontotemporal lobar degeneration
Grossman, M., Seeley, W. W., Boxer, A. L., Hillis, A. E., Knopman, D. S., Ljubenov, P. A., Miller, B., Piguet, O., Rademakers, R., Whitwell, J. L., et al. (2023) · Nature Reviews Disease Primers · doi:10.1038/s41572-023-00447-0 · Cited by 178
Ashton, N. J., Leuzy, A., Lim, Y. M., Troakes, C., Hortobágyi, T., Höglund, K., Aarsland, D., Lovestone, S., Schöll, M., Blennow, K., et al. (2019) · Acta Neuropathologica Communications · doi:10.1186/s40478-018-0649-3 · Cited by 172
Neurofilament Light Chain as a Biomarker for Cognitive Decline in Parkinson Disease
Aamodt, W. W., Waligórska, T., Shen, J., Tropea, T. F., Siderowf, A. D., Weintraub, D. A., Grossman, M., Irwin, D. J., Wolk, D. A., Xie, S. X., et al. (2021) · Movement Disorders · doi:10.1002/mds.28779 · Cited by 179
Cerebrospinal Fluid Biomarkers of Alzheimer’s Disease: Current Evidence and Future Perspectives
McGrowder, D. A., Miller, F. G., Vaz, K., Nwokocha, C. R., Wilson-Clarke, C. F., Anderson, M., Brown, J., Anderson-Jackson, L., Williams, L., Latore, L., et al. (2021) · Brain Sciences · doi:10.3390/brainsci11020215 · Cited by 169
Diagnostic and prognostic value of serum NfL and p-Tau 181 in frontotemporal lobar degeneration
Benussi, A., Karikari, T. K., Ashton, N. J., Gazzina, S., Premi, E., Benussi, L., Ghidoni, R., Lantero‐Rodriguez, J., Emeršič, A., Simrén, J., et al. (2020) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2020-323487 · Cited by 162
Neurofilament Light Chain as Biomarker for Amyotrophic Lateral Sclerosis and Frontotemporal Dementia
Verde, F., Otto, M., & Silani, V. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.679199 · Cited by 160
The potential of blood neurofilament light as a marker of neurodegeneration for Alzheimer's disease
Jung, Y., & Damoiseaux, J. S. (2023) · Brain · doi:10.1093/brain/awad267 · Cited by 123
Neurofilaments in motor neuron disorders: towards promising diagnostic and prognostic biomarkers
Zucchi, E., Bonetto, V., Sorarú, G., Martinelli, I., Parchi, P., Liguori, R., & Mandrioli, J. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00406-3 · Cited by 112
Predictors of survival in patients with amyotrophic lateral sclerosis: A large meta-analysis
Su, W., Cheng, Y., Jiang, Z., Duan, Q., Yang, T., Shang, H., & Chen, Y. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103732 · Cited by 118
Blood Neurofilament Light Chain: The Neurologist’s Troponin?
Thebault, S., Booth, R. A., & Freedman, M. S. (2020) · Biomedicines · doi:10.3390/biomedicines8110523 · Cited by 101
Neurofilament-Light, a Promising Biomarker: Analytical, Metrological and Clinical Challenges
Coppens, S., Lehmann, S., Hopley, C. J., & Hirtz, C. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241411624 · Cited by 107
Halbgebauer, S., Steinacker, P., Verde, F., Weishaupt, J. H., Oeckl, P., Arnim, C. A. F. V., Dorst, J., Feneberg, E., Mayer, B., Rosenbohm, A., et al. (2021) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2021-327129 · Cited by 105
Molecular and Imaging Biomarkers in Alzheimer’s Disease: A Focus on Recent Insights
Villa, C., Lavitrano, M., Salvatore, E., & Combi, R. (2020) · Journal of Personalized Medicine · doi:10.3390/jpm10030061 · Cited by 94
Current Biomarkers for Alzheimer’s Disease: From CSF to Blood
Zou, K., Abdullah, M., & Michikawa, M. (2020) · Journal of Personalized Medicine · doi:10.3390/jpm10030085 · Cited by 87
Biomarkers of aging in frailty and age-associated disorders: State of the art and future perspective
Salvioli, S., Basile, M. S., Bencivenga, L., Carrino, S., Conte, M., Damanti, S., LORENZO, R. D., Fiorenzato, E., Gialluisi, A., Ingannato, A., et al. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.102044 · Cited by 91
An overview of the genes and biomarkers in Alzheimer’s disease
Krishnamurthy, H. K., Jayaraman, V., Krishna, K., Wang, T., Bei, K., Changalath, C., & Rajasekaran, J. J. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102599 · Cited by 89
Serum Neurofilament Light Chain Measurement in MS: Hurdles to Clinical Translation
Thebault, S., Booth, R. A., Rush, C., MacLean, H. J., & Freedman, M. S. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.654942 · Cited by 79
Associations of longitudinal plasma p-tau181 and NfL with tau-PET, Aβ-PET and cognition
Rauchmann, B. S., Schneider-Axmann, T., & Perneczky, R. (2021) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2020-325537 · Cited by 74
Kivisäkk, P., Sweeney, T., Carlyle, B. C., Trombetta, B. A., LaCasse, K., El‐Mufti, L. H., Tuncali, I., Chibnik, L. B., Das, S., Scherzer, C. R., et al. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1069411 · Cited by 76
Increasing the reproducibility of fluid biomarker studies in neurodegenerative studies
Mattsson, N., Palmqvist, S., Blennow, K., & Hansson, O. (2020) · Nature Communications · doi:10.1038/s41467-020-19957-6 · Cited by 70
Elevated Plasma Phosphorylated Tau 181 in Amyotrophic Lateral Sclerosis
Cousins, K. A. Q., Shaw, L. M. J., Shellikeri, S., Dratch, L., Rosario, L., Elman, L. B., Quinn, C. C., Amado, D. A., Wolk, D. A., Tropea, T. F., et al. (2022) · Annals of Neurology · doi:10.1002/ana.26462 · Cited by 66
Use of plasma biomarkers for AT(N) classification of neurodegenerative dementias
Alcolea, D. A., Delaby, C., Muñoz, L., Torres, S., Estellés, T., Zhu, N., Barroeta, I., Carmona‐Iragui, M., Illán‐Gala, I., Santos‐Santos, M., et al. (2021) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2021-326603 · Cited by 65
Carlyle, B. C., Kitchen, R. R., Mattingly, Z. A., Celia, A. M., Trombetta, B. A., Das, S., Hyman, B. T., Kivisäkk, P., & Arnold, S. E. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.889647 · Cited by 69
Plasma biomarkers for neurodegenerative disorders: ready for prime time?
Balogun, W. G., Zetterberg, H., Blennow, K., & Karikari, T. K. (2023) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000851 · Cited by 62
Chhatwal, J. P., Schultz, A. P., Dang, Y., Ostaszewski, B., Liu, L., Yang, H.-S., Johnson, K. A., Sperling, R. A., & Selkoe, D. J. (2020) · Nature Communications · doi:10.1038/s41467-020-19543-w · Cited by 60
Serum neurofilament light chain level as a predictor of cognitive stage transition
Lee, E.-H., Kwon, H. S., Koh, S., Choi, S. H., Jin, J.-H., Jeong, J. H., Jang, J., Park, K. W., Kim, E., Kim, H. J., et al. (2022) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00953-x · Cited by 58
Ramani, S., Berard, J. A., & Walker, L. A. S. (2020) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2020.117229 · Cited by 60
Palermo, G., Mazzucchi, S., Vecchia, A. D., Siciliano, G., Bonuccelli, U., Azuar, C., Ceravolo, R., Lista, S., Hampel, H. J., & Baldacci, F. (2020) · Molecular Neurobiology · doi:10.1007/s12035-020-02035-9 · Cited by 55
del Campo, M., Zetterberg, H., Gandy, S., Onyike, C. U., Oliveira, F., Udeh‐Momoh, C., Lleó, A., Teunissen, C. E., & Pijnenburg, Y. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12643 · Cited by 52
The 2022 Lady Estelle Wolfson lectureship on neurofilaments
Petzold, A. (2022) · Journal of Neurochemistry · doi:10.1111/jnc.15682 · Cited by 52
Aktaş, O., Hartung, H., Smith, M., Rees, W. A., Fujihara, K., Paul, F., Marignier, R., Bennett, J. L., Kim, H. J., Weinshenker, B. G., et al. (2023) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2022-330412 · Cited by 52
Development of an age‐adjusted model for blood neurofilament light chain
Harp, C. T., Thanei, G., Jia, X., Kühle, J., Leppert, D., Schaedelin, S. A., Benkert, P., von Büdingen, H., Hendricks, R., & Herman, A. H. (2022) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51524 · Cited by 52
Youssef, P., Hughes, L., Kim, W. S., Halliday, G. M., Lewis, S. J. G., Cooper, A., & Dzamko, N. (2023) · Scientific Reports · doi:10.1038/s41598-023-32480-0 · Cited by 46
Distinguishing Frontotemporal Lobar Degeneration Tau From TDP-43 Using Plasma Biomarkers
Cousins, K. A. Q., Shaw, L. M. J., Chen‐Plotkin, A. S., Wolk, D. A., Deerlin, V. M. V., Lee, E. B., McMillan, C. T., Grossman, M., & Irwin, D. J. (2022) · JAMA Neurology · doi:10.1001/jamaneurol.2022.3265 · Cited by 45
Diagnostic biomarkers in Alzheimer’s disease
Andersen, E., Casteigne, B., Chapman, W. D., Creed, A., Foster, F., Lapins, A., Shatz, R., & Sawyer, R. P. (2021) · Biomarkers in Neuropsychiatry · doi:10.1016/j.bionps.2021.100041 · Cited by 42
Gotkine, M., Caraco, Y., Lerner, Y., Blotnick, S., Wanounou, M., Slutsky, S. G., Chebath, J., Kuperstein, G., Estrin, E., Ben‐Hur, T., et al. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-03903-3 · Cited by 42
Schwarz, A. J. (2021) · Neurotherapeutics · doi:10.1007/s13311-021-01027-4 · Cited by 40
A comparison of p‐tau assays for the specificity to detect tau changes in Alzheimer's disease
Janelidze, S., Ashton, N. J., Dolado, A. O., Nordström, U., Bali, D., Forsberg, K., Keskin, I., Mastrangelo, A., Vacchiano, V., Liguori, R., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70208 · Cited by 39
CSF Neurofilament Light Chain Elevation Predicts ALS Severity and Progression
Sun, Q., Zhao, X., Li, S., Yang, F., Wang, H., Cui, F., & Huang, X. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.00919 · Cited by 37
Bolsewig, K., Hok-A-Hin, Y. S., Sepe, F. N., Boonkamp, L., Jacobs, D., Bellomo, G., Paoletti, F. P., Vanmechelen, E., Teunissen, C. E., Parnetti, L., et al. (2022) · Journal of Alzheimer's Disease · doi:10.3233/jad-220318 · Cited by 36
Neurofilaments contribution in clinic: state of the art
Delaby, C., Bousiges, O., Bouvier, D., Fillée, C., Fourier, A., Mondésert, E., Nezry, N., Omar, S., Quadrio, I., Rucheton, B., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1034684 · Cited by 38
Cousins, K. A. Q., Phillips, J. S., Irwin, D. J., Lee, E. B., Wolk, D. A., Shaw, L. M. J., Zetterberg, H., Blennow, K., Burke, S., Kinney, N. G., et al. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12233 · Cited by 38
Cardiac troponin T is elevated and increases longitudinally in ALS patients
Kläppe, U., Chamoun, S., Shen, Q., Finn, A., Evertsson, B., Zetterberg, H., Blennow, K., Press, R., Samuelsson, K., Månberg, A., et al. (2021) · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · doi:10.1080/21678421.2021.1939384 · Cited by 34
Plasma NT1 Tau is a Specific and Early Marker of Alzheimer's Disease
Mengel, D., Janelidze, S., Glynn, R. J., Liu, W., Hansson, O., & Walsh, D. M. (2020) · Annals of Neurology · doi:10.1002/ana.25885 · Cited by 32
What, When and How to Measure—Peripheral Biomarkers in Therapy of Huntington’s Disease
Przybył, Ł., Woźna, M., Kozłowska, E., & Fiszer, A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22041561 · Cited by 33
Ruffo, P., Strafella, C., Cascella, R., Caputo, V., Conforti, F. L., Andò, S., & Giardina, E. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.784996 · Cited by 34
Thurman, M., Johnson, S. D., Acharya, A., Pallikkuth, S., Mahesh, M., & Byrareddy, S. N. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.583934 · Cited by 35
Romano, Â., Primiano, G., Antonini, G., Ceccanti, M., Fenu, S., Forcina, F., Gentile, L., Inghilleri, M., Leonardi, L., Manganelli, F., et al. (2023) · European Journal of Neurology · doi:10.1111/ene.16070 · Cited by 32
A critical appraisal of blood-based biomarkers for Alzheimer’s disease
Lista, S., Mapstone, M. E., Caraci, F., Emanuele, E., López‐Ortiz, S., Martín-Hernández, J., Triaca, V., Imbimbo, C., Gabelle, A., Mielke, M. M., et al. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102290 · Cited by 30
Biomarkers in amyotrophic lateral sclerosis: a review of new developments
Verber, N. S., & Shaw, P. J. (2020) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000854 · Cited by 31
Value-Generating Exploratory Trials in Neurodegenerative Dementias
Friedman, L. G., McKeehan, N., Hara, Y., Cummings, J. L., Matthews, D. C., Zhu, J., Mohs, R. C., Wang, D., Hendrix, S. B., Quintana, M., et al. (2021) · Neurology · doi:10.1212/wnl.0000000000011774 · Cited by 32
Predicting amyotrophic lateral sclerosis (ALS) progression with machine learning
Jabbar, M. A. D. A., Guo, L. T., Nag, S., Guo, Y., Simmons, Z., Pioro, E. P., Ramasamy, S., & Yeo, C. J. J. (2023) · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · doi:10.1080/21678421.2023.2285443 · Cited by 31
Eratne, D., Kang, M. J., Lewis, C. C., Dang, C., Malpas, C. B., Keem, M. H., Grewal, J. K., Marinov, V., Coe, A., Kaylor‐Hughes, C., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14278 · Cited by 29
Exploring the Clinical Utility of Neurofilament Light Chain Assays in Multiple Sclerosis Management
Bar‐Or, A., Nicholas, J. A., Feng, J. J., Sorrell, F., & Cascione, M. (2025) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000200427 · Cited by 29
Giangrande, C., Delatour, V., Andréasson, U., Blennow, K., Gobom, J., & Zetterberg, H. (2023) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12465 · Cited by 31
Das, S., Sengupta, S., & Chakraborty, S. (2020) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.0c00579 · Cited by 27
Xu, M., Zhou, M., Li, S., Zhen, X., & Yang, S. (2021) · Journal of Neuroscience Research · doi:10.1002/jnr.24805 · Cited by 27
Biomarkers in frontotemporal dementia: Current landscape and future directions
Gifford, A., Praschan, N. C., Newhouse, A. L., & Chemali, Z. N. (2023) · Biomarkers in Neuropsychiatry · doi:10.1016/j.bionps.2023.100065 · Cited by 29
Thomas, K. R., Bangen, K. J., Edmonds, E. C., Weigand, A. J., Walker, K. S., Bondi, M. W., Galasko, D. R., & Initiative, A. D. N. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12238 · Cited by 25
Afrin, M. R., Upadhyaya, P. G., Hashim, A., Bhattacharya, K., Chanu, N. R., Das, D., Khanal, P., & Deka, S. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102736 · Cited by 27
Alzheimer's disease diagnostic accuracy by fluid and neuroimaging ATN framework
Xiong, X., He, H., Ye, Q., Qian, S., Zhou, S., Feng, F., Fang, E. F., & Xie, C. (2023) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14357 · Cited by 24
Eratne, D., Keem, M. H., Lewis, C., Kang, M. J., Walterfang, M., Farrand, S., Loi, S. M., Kelso, W. M., Cadwallader, C. J., Berkovic, S. F., et al. (2022) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2022.120439 · Cited by 22
Dilcher, R., Wall, S., Groß, M., Katzdobler, S., Wagemann, O., Palleis, C., Weidinger, E., Fietzek, U. M., Bernhardt, A., Kurz, C., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14185 · Cited by 23
Biomarkers and Tools for Predicting Alzheimer’s Disease in the Preclinical Stage
Li, T.-R., Yang, Q. Z., Hu, X., & Han, Y. (2021) · Current Neuropharmacology · doi:10.2174/1570159x19666210524153901 · Cited by 23
Silva‐Spínola, A., Lima, M., Leitão, M. J., Durães, J., Tábuas‐Pereira, M., Almeida, M. R., Santana, I. J., & Baldeiras, I. (2021) · European Journal of Neurology · doi:10.1111/ene.15058 · Cited by 22
Plasma Neurofilament Light Chain and Clinical Diagnosis in Frontotemporal Dementia Syndromes
Ooi, S., Patel, S. K., Eratne, D., Kyndt, C., Reidy, N., Lewis, C. C., Lee, S. C. M., Darby, D., & Brodtmann, A. G. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220272 · Cited by 21
Parvizi, T., König, T., Wurm, R., Silvaieh, S., Altmann, P., Klotz, S., Rommer, P. S., Furtner, J., Regelsberger, G., Lehrner, J., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.887498 · Cited by 25
Pathologic and cognitive correlates of plasma biomarkers in neurodegenerative disease
Cousins, K. A. Q., Phillips, J. S., Das, S. R., O’Brien, K. S., Tropea, T. F., Chen‐Plotkin, A. S., Shaw, L. M. J., Nasrallah, I. M., Mechanic-Hamilton, D. J., McMillan, C. T., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13777 · Cited by 21
CSF neurofilament light chain testing as an aid to determine treatment strategies in MS
Reyes, S., Smets, I., Holden, D., Carrillo-Loza, K., Christmas, T., Bianchi, L., Ammoscato, F., Turner, B. P., Marta, M., Schmierer, K., et al. (2020) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000880 · Cited by 20
Alagaratnam, J., Francesco, D. D., Zetterberg, H., Heslegrave, A., Toombs, J., Kootstra, N. A., Underwood, J., Gisslén, M., Reiss, P., Fidler, S. J., et al. (2021) · Journal of NeuroVirology · doi:10.1007/s13365-021-01026-3 · Cited by 20
Bagyinszky, E., Hulme, J., & An, S. S. A. (2023) · Cells · doi:10.3390/cells12151948 · Cited by 21
Blood-Based Biomarkers in Frontotemporal Dementia: A Narrative Review
Liampas, I., Kyriakoulopoulou, P., Karakoida, V., Kavvoura, P. A., Sgantzos, M. N., Bogdanos, D. P., Stamati, P., Dardiotis, E., & Siokas, V. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252111838 · Cited by 25
The role of neurofilament light in genetic frontotemporal lobar degeneration
Zetterberg, H., Teunissen, C., van Swieten, J., Kuhle, J., Boxer, A., Rohrer, J. D., Mitic, L., Nicholson, A. M., Pearlman, R., McCaughey, S. M., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac310 · Cited by 19
Delaby, C., Ladang, A., Martinez‐Yriarte, J., Zecca, C., Logroscino, G., Körtvelyessy, P., Tumani, H., Parchi, P., Quadrio, I., Hart, M., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70343 · Cited by 19
Pharmacodynamic Biomarkers for Emerging LRRK2 Therapeutics
Kelly, K., & West, A. B. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00807 · Cited by 19
Mavrina, E., Kimble, L. E., Waury, K., Gogishvili, D., José, N. G. D. S., Das, S., Coppens, S., Gomes, B. F., Mravinacová, S., Wojdała, A. L., et al. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.890638 · Cited by 18
microRNA‐based predictor for diagnosis of frontotemporal dementia
Magen, I., Yacovzada, N., Warren, J. D., Heller, C., Swift, I., Bobeva, Y., Malaspina, A., Rohrer, J. D., Fratta, P., & Hornstein, E. (2023) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12916 · Cited by 12
Asken, B. M., Tanner, J. A., Gaynor, L. S., VandeVrede, L. A., Mantyh, W. G., Casaletto, K. B., Staffaroni, A. M., Fonseca, C. S., Shankar, R. P., Grant, H. E., et al. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01275-w · Cited by 24
Wang, X., Yang, X. X., He, W., Song, X., Zhang, G., Niu, P., & Chen, T. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.10.014 · Cited by 18
Biomarkers and Tools for Predicting Alzheimer's Disease in the Preclinical Stage
Li, T., Yang, Q. Z., Hu, X., & Han, Y. (2022) · Kölner Universitäts PublikationsServer (Universität zu Köln) · Cited by 17
Giuffrè, G. M., Quaranta, D., Costantini, E. M., Citro, S., Martellacci, N., Ninno, G. D., Vita, M. G., Guglielmi, V., Rossini, P. M., Calabresi, P., et al. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106267 · Cited by 18
Kläppe, U., Sennfält, S., Lovik, A., Finn, A., Bofaisal, U., Zetterberg, H., Blennow, K., Piehl, F., Kmezic, I., Press, R., et al. (2023) · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · doi:10.1080/21678421.2023.2263874 · Cited by 20
Reyes‐Leiva, D., Dols‐Icardo, O., Sirisi, S., Cortés‐Vicente, E., Turón‐Sans, J., de Luna, N., Blesa, R., Belbin, O., Montal, V., Alcolea, D. A., et al. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2021.750543 · Cited by 18
Nontransgenic Guinea Pig Strains Exhibit Hallmarks of Human Brain Aging and Alzheimer’s Disease
Wahl, D., Moreno, J. A., Santangelo, K. S., Zhang, Q. Y., Afzali, M. F., Walsh, M., Musci, R. V., Cavalier, A. N., Hamilton, K. L., & LaRocca, T. J. (2022) · The Journals of Gerontology Series A · doi:10.1093/gerona/glac073 · Cited by 17
Blood Neurofilament Light Chain in Different Types of Dementia
Gu, L., Shu, H., Wang, Y., & Wang, P. (2023) · Current Alzheimer Research · doi:10.2174/1567205020666230601123123 · Cited by 16
Lim, B., Grøntvedt, G. R., Bathala, P., Kale, S., Campbell, C. T., Stengelin, M. K., Sando, S. B., Prassas, I., Diamandis, E. P., & Bråthen, G. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.07.013 · Cited by 15
Comparing Neurofilament Light Chain Levels in Serum and Plasma
Kwon, H. S., Lee, H., Kim, Y. S., Choi, H., Lee, K.-Y., Lee, Y. J., Lee, E.-H., Hwang, M., Park, H., & Koh, S.-H. (2023) · Dementia and Neurocognitive Disorders · doi:10.12779/dnd.2023.22.3.109 · Cited by 15
Chen, J., Chan, L., Chung, C., Bamodu, O. A., & Hong, C. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10215085 · Cited by 16
Li, C., Wang, Y., Wu, Y., Yu, Y. H., Liu, Y., & Liu, Q. (2025) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2025.118173 · Cited by 16
Truncated TDP‐43 proteoforms diagnostic of frontotemporal dementia with TDP‐43 pathology
Forgrave, L. M., Moon, K., Hamden, J. E., Li, Y., Lu, P., Foster, L. J., Mackenzie, I. R., & DeMarco, M. L. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13368 · Cited by 13
Self-citationMondésert, E., Schraen‐Maschke, S., Quadrio, I., Bousiges, O., Bouvier, D., Delaby, C., Bedel, A., Lehmann, S., & Fourier, A. (2024) · Clinica Chimica Acta · doi:10.1016/j.cca.2024.120007 · Cited by 13
NT1-Tau Is Increased in CSF and Plasma of CJD Patients, and Correlates with Disease Progression
Mengel, D., Mok, T. H., Nihat, A., Liu, W., Rissman, R. A., Galasko, D., Zetterberg, H., Mead, S., Collinge, J., & Walsh, D. M. (2021) · Cells · doi:10.3390/cells10123514 · Cited by 12
Yao, W., Initiative, A. D. N., Zhang, X., Zhao, H., Xu, Y., & Bai, F. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220475 · Cited by 10
Alzheimer’s disease biomarker profiling in a memory clinic cohort without common comorbidities
Daniilidou, M., Eroli, F., Alanko, V., Goikolea, J., Latorre‐Leal, M., Rodriguez‐Rodriguez, P., Griffiths, W. J., Wang, Y., Pacciarini, M., Brinkmalm, A., et al. (2023) · Brain Communications · doi:10.1093/braincomms/fcad228 · Cited by 14
Abed, S. S., Hamdan, F. B., Hussein, M. M., & Al-Mayah, Q. S. (2023) · Journal of Medicine and Life · doi:10.25122/jml-2022-0251 · Cited by 12
Dhiman, K., Villemagne, V. L., Fowler, C. J., Bourgeat, P., Li, Q., Collins, S. J., Bush, A. I., Rowe, C. C., Masters, C. L., Ames, D. J., et al. (2022) · Biomedicines · doi:10.3390/biomedicines10051045 · Cited by 11
Metadata
- Authors
- Forgrave, L. M., Ma, M., Best, J. R., & DeMarco, M. L.
- Affiliations
- University of British Columbia (CA)
- Providence Health Care (CA)
- Corresponding author
- DeMarco, Mari L.
- Venue
- Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
- Publisher
- Wiley
- Published
- 2019-12
- Volume
- 11
- Issue
- 1
- Pages
- 730-743
- ISSN
- 2352-8729 (ISSN-L)
- PMC
- PMC6939029
- OpenAlex
- W2984229501
- Cited by
- 177
- References
- 87
- Citations by year
- 2026: 16 · 2025: 23 · 2024: 21 · 2023: 41 · 2022: 26 · 2021: 27 · 2020: 22 · 2019: 1
- FWCI
- 3.21
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Clinical Neurology › Amyotrophic Lateral Sclerosis Research
- Keywords
- neurofilament light chain, Alzheimer's disease, frontotemporal dementia, amyotrophic lateral sclerosis, cerebrospinal fluid biomarkers, blood biomarkers, diagnostic accuracy, neurodegeneration, mild cognitive impairment
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.
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