Evidence map›Paper›PMID 30623017›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2019

Normative data from linear and nonlinear quantile regression in CANTAB: Cognition in mid-to-late life in an epidemiological sample.

Rosemary A Abbott, Caroline Skirrow, Martha Jokisch, Maarten Timmers, Johannes Streffer, Luc van Nueten, Michael Krams, Angela Winkler, Noreen Pundt, Pradeep J Nathan and 3 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

23 citing papers in PubMed, 39 citations in OpenAlex.

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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 at 5 institutions in 4 countries.

Rosemary A AbbottCambridge Cognition, Tunbridge Court, Bottisham, Cambridge, UK.
Caroline SkirrowCambridge Cognition, Tunbridge Court, Bottisham, Cambridge, UK.
Martha JokischDepartment of Neurology, University Hospital of Essen, University of Duisburg-Essen, Germany.
Maarten TimmersJanssen Research and Development, a division of Janssen Pharmaceutica N.V., Beerse, Belgium.
Johannes StrefferJanssen Research and Development, a division of Janssen Pharmaceutica N.V., Beerse, Belgium.
Luc van NuetenJanssen Research and Development, a division of Janssen Pharmaceutica N.V., Beerse, Belgium.
Michael KramsJanssen Research and Development LLC, Titusville, NJ, USA.
Angela WinklerDepartment of Neurology, University Hospital of Essen, University of Duisburg-Essen, Germany.
Noreen PundtCentre for Urban Epidemiology, Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen, Essen, Germany.
Pradeep J NathanCambridge Cognition, Tunbridge Court, Bottisham, Cambridge, UK.
Philippa RockCambridge Cognition, Tunbridge Court, Bottisham, Cambridge, UK.
Francesca K CormackCambridge Cognition, Tunbridge Court, Bottisham, Cambridge, UK.
Christian WeimarDepartment of Neurology, University Hospital of Essen, University of Duisburg-Essen, Germany.
Cambridge Cognition (United Kingdom) · GBUniversity of Duisburg-Essen · DEUniversity of Antwerp · BEJanssen (Belgium) · BEJanssen (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNormative cognitive data can help to distinguish pathological decline from normal aging. This study presents normative data from the Cambridge Neuropsychological Test Automated Battery, using linear regression and nonlinear quantile regression approaches.

methodsHeinz Nixdorf Recall study participants completed Cambridge Neuropsychological Test Automated Battery tests: paired-associate learning, spatial working memory, and reaction time. Data were available for 1349-1529 healthy adults aged 57-84 years. Linear and nonlinear quantile regression analyses examined age-related changes, adjusting for sex and education. Quantile regression differentiated seven performance bands (percentiles: 97.7, 93.3, 84.1, 50, 15.9, 6.7, and 2.3).

resultsNormative data show age-related cognitive decline across all tests, but with quantile regression revealing heterogeneous trajectories of cognitive aging, particularly for the test of episodic memory function (paired-associate learning). DISCUSSION: This study presents normative data from Cambridge Neuropsychological Test Automated Battery in mid-to-late life. Quantile regression can model heterogeneity in age-related cognitive trajectories as seen in the paired-associate learning episodic memory measure.

Indexed as

AgingCognitionDementiaEpisodic memoryMild cognitive impairmentNormative data

Identifiers

PMID30623017
PMCPMC6305838
OpenAlexW2948022912

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.