Evidence map›Paper›PMID 35728570›Full record

ArticleNeuroepidemiology2022

Descriptive Epidemiology of Neurodegenerative Diseases: What Are the Critical Questions?

Giancarlo Logroscino, Daniele Urso, Rodolfo Savica

Abstract read
In one paragraph

Article in Neuroepidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 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

3 authors.

Giancarlo LogroscinoCenter for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology of the University of Bari at "Pia Fondazione Card G. Panico" Hospital Tricase (Le), Tricase, Italy.
Daniele UrsoCenter for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology of the University of Bari at "Pia Fondazione Card G. Panico" Hospital Tricase (Le), Tricase, Italy.
Rodolfo SavicaDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The field of neurodegenerative diseases is a major challenge faced by public health and is still in need of robust preventive measures and disease-modifying treatments. Population-based studies can offer the framework in the context of primary and secondary prevention of neurodegenerative diseases. The epidemiology of neurodegenerative disorders in the last decades has focused on descriptive studies mainly based on the use of clinical criteria. However, clinical definition is basically insufficient both to well-characterize different phenotypes and to make an early diagnosis. Descriptive epidemiology needs a new framework to update the area of neurodegenerative research, based on the advancement of both clinical and biological diagnostic criteria and the urgency for an early diagnosis of the disease. In here, we address the present and future of population-based studies in neurodegenerative disorders and discuss the shift of paradigms in the diagnosis of disease and disease definition. We further debate the changes in biomarker implementation models and type of biomarkers used in population-based studies. Descriptive epidemiology of neurodegenerative disorders is rapidly evolving. These implementations will improve the future design and outcome of population-based studies and policy-making in public health intervention.

Indexed as

Alzheimer DiseaseNeurodegenerative DiseasesBiomarkersEarly DiagnosisHumansBiomarkersAging-related diseasesAlzheimer’s diseaseBiomarkersDementiaEpidemiologyParkinson’s diseasePopulation-based studiesPublic health

Identifiers

PMID35728570
PMCPMC9677839

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Registered trials

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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.