The DOI matches its Crossref record; 44 of the 47 references it cites were found in a registry or an index.
Alzheimer's disease drug development pipeline: 2017
Open accessAbstract
Introduction: There is an urgent need to develop new treatments for Alzheimer's disease (AD) and to understand the drug development process for new AD therapies. Methods: We assessed the agents in the AD pipeline as documented in clinicaltrials.gov for phase I, phase II, and phase III, accessed 1/5/2017. Results: There are 105 agents in the AD treatment development pipeline, of which 25 agents are in 29 trials in phase I, 52 agents are in 68 trials in phase II, and 28 agents are in 42 trials in phase III. Seventy percent of drugs in the AD pipeline are disease‐modifying therapies (DMTs). Fourteen percent are symptomatic cognitive enhancers, and 13% are symptomatic agents addressing neuropsychiatric and behavioral changes (2% have undisclosed mechanisms). Most trials are sponsored by the biopharmaceutical industry. Trials include patients with preclinical AD (cognitively normal with biomarker evidence of AD), prodromal AD (mild cognitive symptoms and biomarker evidence of AD), and AD dementia. Biomarkers are included in many drug development programs particularly those for DMTs. Thirteen of 46 phase II DMT trials have amyloid imaging as an entry criterion, and 10 of 28 phase III trials incorporate amyloid imaging for diagnosis and entry. A large number of participants are needed for AD clinical trials; in total, 54,073 participants are required for trials spanning preclinical AD to AD dementia. When compared with the 2016 pipeline, there are eight new agents in phase I, 16 in phase II, and five in phase III. Discussion: The AD drug development pipeline has 105 agents divided among phase I, phase II, and phase III. The trials include a wide range of clinical trial populations, many mechanisms of action, and require a substantial number of clinical trial participants. Biomarkers are increasingly used in patient identification and as outcome measures, particularly in trials of DMTs.
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
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
“A number of additional pathogenic mechanisms have been described, possibly overlapping with Aβ plaques and NFT formation or induced by them, including inflammation, oxidative damage, iron deregulation, and cholesterol metabolism blood-brain barrier (BBB) dysfunction or α-synuclein toxicity.9-13”
From Current and Future Treatments in Alzheimer Disease: An Update (2020) · cites this paper as [12]
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
2016 Alzheimer's disease facts and figures
Alzheimer's Association (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.03.001 · Cited by 5,069
The antibody aducanumab reduces Aβ plaques in Alzheimer’s disease
Sevigny, J., Chiao, P., Bussière, T., Weinreb, P. H., Williams, L., Maier, M., Dunstan, R., Salloway, S., Chen, T., Ling, Y., et al. (2016) · Nature · doi:10.1038/nature19323 · Cited by 3,059 · cited 1×
“Aducanumab targets multiple Ab species, has had an encouraging phase I/II trial, and is continuing in phase III [35].”
BackgroundAlzheimer’s disease drug-development pipeline: Few candidates, frequent failures
Cummings, J. L., Morstorf, T., & Zhong, K. (2014) · Alzheimer's Research & Therapy · doi:10.1186/alzrt269 · Cited by 1,744 · cited 1×
“Although there are promising agents in the pipeline that could achieve this goal, it is clear that given the high rate of failure of AD drug development [38], the aim of having a repertoire of agents that could respond comprehensively and individually to a patient’s clinical circumstances within the 2025 timeframe is…”
BackgroundSelf-citation2015 Alzheimer's disease facts and figures
Alzheimer's Association (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.02.003 · Cited by 1,673
Lessons learned from the fate of AstraZeneca's drug pipeline: a five-dimensional framework
Cook, D., Brown, D., Alexander, R., March, R., Morgan, P., Satterthwaite, G., & Pangalos, M. N. (2014) · Nature Reviews Drug Discovery · doi:10.1038/nrd4309 · Cited by 1,344 · cited 1×
“Biomarkers can contribute substantially to drug development success [39].”
BackgroundClinical Trial Registration: A Statement from the International Committee of Medical Journal Editors
De Angelis, C., Drazen, J. M., Frizelle, F. A., Haug, C., Hoey, J., Horton, R., Kotzin, S., Laine, C., Marusic, A., Overbeke, A. J. P. M., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejme048225 · Cited by 1,241
Sperling, R. A., Jack, C. R., Black, S. E., Frosch, M. P., Greenberg, S. M., Hyman, B. T., Scheltens, P., Carrillo, M. C., Thies, W., Bednar, M. M., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.05.2351 · Cited by 857
Lombardo, I., Ramaswamy, G., Piscitelli, S. C., & Friedhoff, L. T. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.08.154 · Cited by 656
Weiner, M. W., Veitch, D. P., Aisen, P. S. S., Beckett, L. A., Cairns, N. J., Green, R. C., Harvey, D. J., Jack, C. R., Jagust, W. J., Morris, J. C., et al. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2016.10.006 · Cited by 523
Drug development in Alzheimer’s disease: the path to 2025
Cummings, J., Aisen, P. S., DuBois, B., Frölich, L., Jack, C. R., Jones, R. W., Morris, J. C., Raskin, J., Dowsett, S. A., & Scheltens, P. (2016) · Alzheimer's Research & Therapy · doi:10.1186/s13195-016-0207-9 · Cited by 459 · cited 3×
“This means that under current circumstances, an agent must now be in phase II to possibly be approved by 2025 [5].”
BackgroundSelf-citation
Flagged first, then by citations
3 of the 47 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- Alzheimer's Association, 2015, Changing the Trajectory of Alzheimer's Disease: How a Treatment by 2025 Saves Lives and Dollars
- Tan S.B., 2009, Clinical Trials Handbook, 255
- Babic T., 2016, Improving screen fail and recruitment rates in Alzheimer's disease clinical trials, J Clin Stud, 8, 38
Cited by
Sorted by citations
Items 501–556 of 556
Finding Cures for Alzheimer's Disease
Huang, X., & Aslanian, R. G. (2022) · Wiley eBooks · doi:10.1002/9781119627784.ch4
Sisti, F. (2021) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.60.2021.tde-22032022-075600
Lucero, E., Freund, R. K., Smith, A. N., Johnson, N., Dooling, B. R., Sullivan, E. M., Prikhodko, O., Ahmed, M. M., Bennett, D. A., Hohman, T. J., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4050072
What could be the main levers to promote a timely diagnosis of neurocognitive disorders?Preprint
Garnier‐Crussard, A., Vernaudon, J., Auguste, N., Dauphinot, V., & Krolak‐Salmon, P. (2019) · doi:10.21203/rs.2.18105/v1
Sadlon, A., Takousis, P., Εvangelou, Ε., Prokopenko, I., Alexopoulos, P., Udeh‐Momoh, C. T., Price, G., Middleton, L. T., Perneczky, R., & Initiative, T. A. D. N. (2022) · medRxiv · doi:10.1101/2022.06.17.22276532
Combined Metabolic Activators Improves Cognitive Functions in Alzheimer’s Disease PatientsPreprint
Yuluğ, B., Altay, Ö., Li, X., Hanoğlu, L., Çankaya, Ş., Lam, S. C. C., Velioğlu, H. A., Yang, H., Coşkun, E., İdil, E., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1965067/v1
Jo, Y. S., Park, G., Jang, K., Bae, S., Kwon, Y. W., Lee, S., Jang, J., Lee, C., Oh, Y., & Yoon, J. H. (2022) · Research Square · doi:10.21203/rs.3.rs-2039843/v1
Reply to: Comparator choices in pharmacoepidemiology studies of Alzheimer’s disease
Zhang, P., Hou, Y., Chiang, C., Pieper, A. A., Cummings, J. L., & Cheng, F. (2023) · Nature Aging · doi:10.1038/s43587-023-00418-w
Self-citationA Brief Review on Alzheimer’s Disease
Suvitha, D., Dhivya, P., Saraswathy, T., & Ahamed Nisha, K. (2023) · International Journal of Pharmacy and Pharmaceutical Research · doi:10.25166/ijppr.2023.27.2.66
Lobos, P., More, J., Bruna, B., & Antonello Penna, S. (2023) · Revista Hospital Clínico Universidad de Chile · doi:10.5354/2735-7996.2023.71414
Revolutionizing Dementia Management: Insights and Progress from the Asian Pacific Region
Verma, N. K. (2024) · Acta Scientific Medical Sciences · doi:10.31080/asms.2024.08.1751
Time Factor Hypothesis: Towards Identifying Onset of Alzheimer’s Disease in Younger Adults
Anyaiwe, O. E. D., Konwe, C. S., & Gwarzo, Z. (2023) · Series of Clinical and Medical Case Reports and Reviews · doi:10.54178/2993-3579.v1i6a2019
A Comprehensive Review on the Newer Therapeutic Approaches in Treating Alzheimer’s Disease
Prakash, R., Jayaraman, R., Palei, N. N., Prakash, D. J., & Ronald, D. (2024) · Springer eBooks · doi:10.1007/978-981-19-3949-5_40-1
The Social and Economic Impact of DementiaPreprint
Szpryngel, C. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4881032
Adeyemo, S. A., Ajao, M. Y., Ogundeyi, K. J., Femi-Akinlosotu, O. M., & Bakre, A. G. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4902113
Digital tools to support dementia diagnosis
van Gils, A. M. (2024) · doi:10.5463/thesis.750
Fernandes, D., & Cheong, J. A. (2024) · doi:10.1093/med/9780197690024.003.0016
A Comprehensive Review on the Newer Therapeutic Approaches in Treating Alzheimer’s Disease
Prakash, R., Jayaraman, R., Palei, N. N., Prakash, D. J., & Ronald, D. (2024) · Springer eBooks · doi:10.1007/978-981-99-7557-0_40
Novel Approaches for Treating Alzheimer’s Disease and Other Dementias
Silva, M. C., Butler, D. C., Temple, S., & Haggarty, S. J. (2025) · Oxford University Press eBooks · doi:10.1093/med/9780197640654.003.0059
Chan, D., Spires‐Jones, T. L., Provenzano, F. A., Glennon, E. B. C., & Duff, K. (2025) · Oxford University Press eBooks · doi:10.1093/med/9780190065324.003.0020
Li, Y., Wu, Y., Wang, T., Li, H., Jiang, Y., Shen, X., Kang, N., Guo, Z., Zhang, R., Lu, X., et al. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5114435
Amyloid Β Fragments that Suppress Oligomers But Not Fibrils are CytoprotectivePreprint
Zabala-Rodriguez, M. C., Teter, K., & Tatulian, S. A. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5120790
Saleh, A. Y., Saputra, D. A. Y., Valentina, R., & Susanto, T. D. (2025) · F1000Research · doi:10.12688/f1000research.160416.1 · Cited by 1
Leqembi: A Breakthrough in the Treatment of Alzheimer's Disease: A Mini Report
Srivastav, S. (2025) · Indian Journal of Health Sciences and Biomedical Research (KLEU) · doi:10.71355/2542-6222.1003
Agnostic Drugs: A New Paradigm in Pharmacological Therapy
Castellana, E., & Chiappetta, M. R. (2025) · Hospital Pharmacy · doi:10.1177/00185787251340598
Griñán‐Ferré, C., Bellver‐Sanchís, A., Valle‐García, D., Barbaraci, C., Romero-Beccera, F., Singh, R., Vasilopoulou, F., Irisarri, A., Martı́nez, C., Fafián‐Labora, J., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-6940373/v1
Sharma, D., & Srivastava, S. (2025) · Wiley eBooks · doi:10.1002/9781394313785.ch7
Liu, X., Chen, J., Zhou, S., & Lin, J. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5343605
Integrative Approach Towards Treatment of Alzheimer's and Other Dementias
Khan, N. A., Sambyal, N., Tanzeelah, Sachdeva, P., Siwan, D., Rehman, A., Dey, A., Ghosh, S., Mahajan, A. A., Rizvi, S., et al. (2025) · Advances in Integrative Medicine · doi:10.1002/9781394336807.ch8
Athukorala, V. D., Faries, M., Silva, U. A. D., Garusinghe, P. S., Gunaratne, K. S., Jayasekara, A. H., Weragoda, T. H., Perera, D. N., Rathnayake, N. D. N. B., Wijerathne, S. K., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-7407618/v1
Probing the Binding Ability of Quinoxaline Derivatives towards Tau Protein: A Theoretical InsightPreprint
Bagwe, S. S., Khan, A., Pappula, V., Suryavanshi, G. M., Madyal, R. S., & Khan, M. (2025) · Research Square · doi:10.21203/rs.3.rs-7582243/v1
Li, Q., Peng, J., Luo, Y., Zhou, J., Li, T., Cao, L., Peng, S., Zuo, Z., & Wang, Z. (2022) · Figshare · doi:10.6084/m9.figshare.20070793
Lee, A. L. Y., Wei, A. C., & Yeong, K. Y. (2026) · Drug Discovery Today · doi:10.1016/j.drudis.2026.104651
Souchet, B. (2018) · theses.fr (ABES) · doi:10.70675/5510ef76zecf1z41f2z9496z015aa6a093be
NMR study of 14-3-3 protein-protein interactions and modulation thereof by small molecules
Neves, J. F. (2019) · theses.fr (ABES) · doi:10.70675/6952dbaezebb9z4212z9c01z6ea8f2190a06
Toublet, F. (2019) · theses.fr (ABES) · doi:10.70675/ce2e69d8zf6fez40cdz9605z8b0883cefb6a
Valverde, A. (2020) · theses.fr (ABES) · doi:10.70675/f1b70734zf4e3z4870z8fbdz950d831642a7
Caractérisation d'anticorps à domaine unique dirigés contre la protéine Tau
Danis, C. (2018) · theses.fr (ABES) · doi:10.70675/c783a062zb57bz4024z85d0z509baaed8a1b
“Intervention strategies based on the Aß hypothesis had, up to date, limited success despite their being the primary target of clinical assays (Cummings et al. 2017).”
BackgroundMartínez-Orozco, H., Andrade-Guerrero, J., Pasten-Castrejón, N. J., Rodríguez‐Tanty, C., & Díaz-Cintra, S. Y. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71589
“A 19–28 The graph integrates Phase III timelines (gradient), mechanism-of-action classes (colored circles), and status (stars).”
Le, N. H., Ishrat, S., Yaghooti, B., Murad, T., Sapkota, R., Thakuri, D. S., Wong, D. F., Cruchaga, C., Initiative, A. D. N., & Chand, G. B. (2026) · medRxiv · doi:10.64898/2026.09.02.26361668
Singh, A., Mazumder, A., & Kanda, A. (2026) · ChemistrySelect · doi:10.1002/slct.74510
Montano-Campos, J. F., Zissimopoulos, J., Jacobson, M., Tysinger, B., Lu, X., Bennett, D. A., & Joyce, G. (2026) · MDM Policy & Practice · doi:10.1177/23814683261487187
Frontotemporal lobar degeneration therapeutic development pipeline: 2026
Benussi, A., Saccavini, A., Palacino, F., Boeve, B. F., Boxer, A. L., Huey, E. D., Ber, I. L., Migliaccio, R., Onyike, C. U., Piguet, O., et al. (2026) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.70326
Self-citationTherapeutic intervention strategies in frontotemporal dementia: drug development pipeline
Perrone, F., Locuratolo, N., Carbone, E., Cappella, M., Rivabene, R., Fabrizi, E., Talarico, G., Vanacore, N., Lacorte, E., & Piscopo, P. (2026) · Alzheimer's & Dementia · doi:10.1002/trc2.70243
BindingDB (2020) · UC San Diego · doi:10.7270/q24170kg
BindingDB Entry 50007516: Meroterpenoids with BACE1 Inhibitory Activity from the Fruiting Body of
BindingDB (2021) · UC San Diego · doi:10.7270/q279480q
BindingDB Entry 50013305: N-alkylpiperidine carbamates as potential anti-Alzheimer's agents.
BindingDB (2022) · UC San Diego · doi:10.7270/q29p35cf
Li, X., & Gozes, I. (2026) · Frontiers in Pharmacology · doi:10.3389/fphar.2026.1999276
Abd-Elraouf, K., Murphy, D. T., Cheong, L. Y. T., Zeng, J., & Lo, C. H. (2026) · Translational Neurodegeneration · doi:10.1186/s40035-026-00591-z
Metadata
- Authors
- Cummings, J., Lee, G., Mortsdorf, T., Ritter, A., & Zhong, K.
- Affiliations
- Cleveland Clinic (US)
- Cleveland Clinic Lou Ruvo Center for Brain Health Las Vegas NV USA
- Touro University Nevada Henderson NV USA
- Corresponding author
- Cummings, Jeffrey
- Venue
- Alzheimer's & Dementia: Translational Research & Clinical Interventions
- Publisher
- Wiley
- Published
- 2017-05-24
- Volume
- 3
- Issue
- 3
- Pages
- 367-384
- ISSN
- 2352-8737 (ISSN-L)
- PMC
- PMC5651419
- OpenAlex
- W2617072792
- Cited by
- 549
- References
- 47
- Citations by year
- 2026: 14 · 2025: 53 · 2024: 48 · 2023: 52 · 2022: 67 · 2021: 59 · 2020: 53 · 2019: 91 · 2018: 103 · 2017: 7
- FWCI
- 52.02
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia Translational Research & Clinical Interventions (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Digital Scholarship - UNLV (University of Nevada Reno) (submittedVersion, cc-by-nc)
- Funders
- National Institute on Aging (R01AG084250 R56AG074001 U01AG073323 R01AG066707 R01AG076448 R01AG082118 RF1AG082211 R21AG083003 R35AG71476)
- National Institute of General Medical Sciences (NIA R25AG083721, NIA R35AG71476, P20GM109025)
- National Institute of Neurological Disorders and Stroke (RF1NS133812)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Pharmacology (medical) › Cholinesterase and Neurodegenerative Diseases
- Keywords
- Alzheimer's disease, drug development pipeline, clinical trials, disease-modifying therapy, prodromal Alzheimer's disease, preclinical Alzheimer's disease, amyloid imaging, biomarkers, clinical trial participants
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