Evidence map›Paper›PMID 36536531›Full record

ArticleBrain pathology (Zurich, Switzerland)2023

Design and application of a customizable relational DataBase to assess clinicopathological correlations and concomitant pathology in neurodegenerative diseases.

Isabelle Journe-Mallet, Julien Gouju, Frédérique Etcharry-Bouyx, Valérie Chauvire, Virginie Guillet-Pichon, Clarisse Scherer-Gagou, Adriana Prundean, Sophie Godard, Aldéric Lecluse, Julien Cassereau and 3 more

Abstract readCase Reports
In one paragraph

Article in Brain pathology (Zurich, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Isabelle Journe-MalletLaboratoire de neurobiologie et neuropathologie, Centre Hospitalier Universitaire d'Angers, Angers, France.
Julien GoujuLaboratoire de neurobiologie et neuropathologie, Centre Hospitalier Universitaire d'Angers, Angers, France.
Frédérique Etcharry-BouyxCentre mémoire de ressource et de recherche, Centre Hospitalier Universitaire d'Angers, Angers, France.
Valérie ChauvireCentre mémoire de ressource et de recherche, Centre Hospitalier Universitaire d'Angers, Angers, France.
Virginie Guillet-PichonCentre mémoire de ressource et de recherche, Centre Hospitalier Universitaire d'Angers, Angers, France.
Clarisse Scherer-GagouCentre de référence des maladies neurogénétiques, Centre Hospitalier Universitaire d'Angers, Angers, France.
Adriana PrundeanCentre de référence des maladies neurogénétiques, Centre Hospitalier Universitaire d'Angers, Angers, France.
Sophie GodardUnité neurovasculaire, Centre Hospitalier Universitaire d'Angers, Angers, France.
Aldéric LecluseUnité neurovasculaire, Centre Hospitalier Universitaire d'Angers, Angers, France.
Julien CassereauCentre de référence des maladies neurogénétiques, Centre Hospitalier Universitaire d'Angers, Angers, France.
Christophe VernyCentre de référence des maladies neurogénétiques, Centre Hospitalier Universitaire d'Angers, Angers, France.
Franck LetournelLaboratoire de neurobiologie et neuropathologie, Centre Hospitalier Universitaire d'Angers, Angers, France.
Philippe CodronLaboratoire de neurobiologie et neuropathologie, Centre Hospitalier Universitaire d'Angers, Angers, France.ORCID 0000-0003-1745-8299

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of neurodegenerative diseases is made complex by the heterogenous phenotype of the patients and the regular occurrence of concomitant pathology. Studying clinicopathological correlations in autopsy series is a central approach to improve pathological prediction in clinical practice. However, such method requires a wealth of information, and the use of standard spreadsheet software is hardly suitable. To overcome this constraint, we designed a customizable and freely available neuropathology form with 456 data entry fields driven by an open-source DataBase Management Systems (DBMS) using Structured Query Language (SQL). This approach allowed us to optimize the compilation of clinical and pathological data from our brain collection (264 autopsied patients, 22,885 data points). Information was then easily retrieved using general and specific queries, facilitating the analysis of demographics, clinicopathological correlations, and incidental and concomitant proteinopathies. Tau, amyloid-β and α-synuclein incidental pathology was observed in respectively 78.1%, 42.8%, and 10.7% of all the patients. These proportions increased with age, reaching 100% for Tau pathology after 80. Concomitant proteinopathy was observed in 46.4% of the patients diagnosed with neurodegenerative diseases and prion disease. We observed a particularly high rate of co-pathology in patients with Dementia with Lewy bodies (81.3% of associated Tau and amyloid-β pathology) and Creutzfeldt-Jakob disease (68.4% of associated Tau pathology). Finally, we used specific queries to identify old cases that could meet newly defined neuropathological criteria and revised the diagnosis of a 90-year-old patient to LATE Stage 2. Increasing our understanding of clinicopathological correlations in neurodegenerative diseases is crucial given the implications in clinical diagnosis, biomarker identification and targeted therapies assessment. The precise characterization of clinical and pathological data of autopsy series remains a central approach but the large amount of generated data should encourage a more systematic use of DBMS.

Indexed as

Alzheimer DiseaseCreutzfeldt-Jakob SyndromeNeurodegenerative DiseasesSynucleinopathiesAmyloid beta-PeptidesBrainHumansLewy Bodiestau ProteinsAmyloid beta-Peptidestau Proteinsclinicopathological correlationsconcomitant pathology.DataBaseneurodegenerative disordersneuropathology

Identifiers

PMID36536531
PMCPMC10154372

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.