Evidence map›Paper›PMID 23732531›Full record

ReviewNature reviews. Neurology2013

Dementia in the oldest old.

Zixuan Yang, Melissa J Slavin, Perminder S Sachdev

Registry-linked trialOpen access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04924361 (Exploring Biomarkers in Age Stratified PUMCH Dementia Cohort), which is not on this map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% 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.

NCT04924361 unknown statusnot on this mapstarted 2020, after this paper: background citation

Exploring Biomarkers in Age Stratified PUMCH Dementia Cohort

TypeobservationalSponsorPeking Union Medical College HospitalRan2020 to 2025Enrolled2,000ConditionsDementia, Dementia, Vascular, Dementia Frontal, Dementia, Mixed
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 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

3 authors at 3 institutions in 1 country.

Zixuan YangCentre for Healthy Brain Ageing, School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW 2052, Australia.
Melissa J Slavin
Perminder S Sachdev
Dementia Collaborative Research Centres · AUPrince of Wales Hospital · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People over the age of 90 years--the oldest old--are the fastest growing sector of the population. A substantial proportion of these individuals are affected by dementia, with major implications for the individual as well as society. Research on dementia in the oldest old is important for service planning, and the absence of dementia at this exceptional old age may serve as a model of successful ageing. This Review summarizes population-based epidemiological studies of dementia and its underlying neuropathology in nonagenarians and centenarians. The available data, although somewhat limited, show an age-specific and sex-specific profile of dementia status in very late life, resulting from a variety of neuropathologies that often co-occur. Extensive overlap in neuropathology between cognitively normal and cognitively impaired individuals is evident despite challenges to gathering data particular to this population. A complex picture is emerging of multiple pathogenetic mechanisms underlying dementia, and of the potential risk and protective factors for dementia that interact with genetics and lifestyle in normal and exceptional cognitive ageing.

Indexed as

Aged, 80 and overAge FactorsBrainDementiaHumans

Identifiers

PMID23732531
OpenAlexW2110948866

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.