Evidence map›Paper›PMID 38472295›Full record

ArticleNature medicine2024

Identification of clinical disease trajectories in neurodegenerative disorders with natural language processing.

Nienke J Mekkes, Minke Groot, Eric Hoekstra, Alyse de Boer, Ekaterina Dagkesamanskaia, Sander Bouwman, Sophie M T Wehrens, Megan K Herbert, Dennis D Wever, Annemieke Rozemuller and 3 more

Abstract read
In one paragraph

Article in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Nienke J MekkesDepartment of Biomedical Sciences, Section Molecular Neurobiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. n.j.mekkes@umcg.nl.ORCID 0000-0002-5454-0235
Minke GrootThe Netherlands Brain Bank, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands.
Eric HoekstraDepartment of Biomedical Sciences, Section Molecular Neurobiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Alyse de BoerDepartment of Biomedical Sciences, Section Molecular Neurobiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-7150-2038
Ekaterina DagkesamanskaiaDepartment of Biomedical Sciences, Section Molecular Neurobiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Sander BouwmanDepartment of Biomedical Sciences, Section Molecular Neurobiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0009-0009-8981-7255
Sophie M T WehrensThe Netherlands Brain Bank, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands.ORCID 0000-0001-7523-1514
Megan K HerbertThe Netherlands Brain Bank, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands.ORCID 0000-0003-1599-4362
Dennis D WeverThe Netherlands Brain Bank, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands.ORCID 0000-0002-0801-4453
Annemieke RozemullerDepartment of Pathology, Amsterdam UMC loc. VUmc, Amsterdam, The Netherlands.ORCID 0000-0003-2528-4428
Bart J L EggenDepartment of Biomedical Sciences, Section Molecular Neurobiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0001-8941-0353
Inge HuitingaThe Netherlands Brain Bank, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands.ORCID 0000-0002-4878-8920
Inge R HoltmanDepartment of Biomedical Sciences, Section Molecular Neurobiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. i.r.holtman@umcg.nl.ORCID 0000-0001-9752-4756

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative disorders exhibit considerable clinical heterogeneity and are frequently misdiagnosed. This heterogeneity is often neglected and difficult to study. Therefore, innovative data-driven approaches utilizing substantial autopsy cohorts are needed to address this complexity and improve diagnosis, prognosis and fundamental research. We present clinical disease trajectories from 3,042 Netherlands Brain Bank donors, encompassing 84 neuropsychiatric signs and symptoms identified through natural language processing. This unique resource provides valuable new insights into neurodegenerative disorder symptomatology. To illustrate, we identified signs and symptoms that differed between frequently misdiagnosed disorders. In addition, we performed predictive modeling and identified clinical subtypes of various brain disorders, indicative of neural substructures being differently affected. Finally, integrating clinical diagnosis information revealed a substantial proportion of inaccurately diagnosed donors that masquerade as another disorder. The unique datasets allow researchers to study the clinical manifestation of signs and symptoms across neurodegenerative disorders, and identify associated molecular and cellular features.

Indexed as

Natural Language ProcessingNeurodegenerative DiseasesHumansNetherlands

Identifiers

PMID38472295
PMCPMC11031398

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.