Evidence map›Paper›PMID 35740262›Full record

ArticleBiomedicines2022

Systemic Inflammation Predicts Alzheimer Pathology in Community Samples without Dementia.

Nicolas Cherbuin, Erin I Walsh, Liana Leach, Anne Brüstle, Richard Burns, Kaarin J Anstey, Perminder S Sachdev, Bernhard T Baune

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
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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

8 authors at 3 institutions in 2 countries.

Nicolas CherbuinResearch School of Population Health, Australian National University, Canberra, ACT 2601, Australia.ORCID 0000-0001-6481-0748
Erin I WalshResearch School of Population Health, Australian National University, Canberra, ACT 2601, Australia.
Liana LeachResearch School of Population Health, Australian National University, Canberra, ACT 2601, Australia.
Anne BrüstleJohn Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, Australia.ORCID 0000-0002-3842-5683
Richard BurnsResearch School of Population Health, Australian National University, Canberra, ACT 2601, Australia.
Kaarin J AnsteySchool of Psychology, University of New South Wales, Sydney, NSW 2052, Australia.
Perminder S SachdevCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, University of New South Wales, Sydney, NSW 2052, Australia.
Bernhard T BauneDepartment of Psychiatry, University of Münster, 48149 Münster, Germany.
Australian National University · AUUNSW Sydney · AUThe University of Melbourne · AU

Funding

Australian Research Council 120100227, 190100011National Health and Medical Research Council 973302, 179805, 157125, 1063907, 568969
6 · The paper itself

Abstract

Neuroinflammation and oxidative stress (OS) are implicated in the pathophysiology of Alzheimer's disease (AD). However, it is unclear at what stage of the disease process inflammation first becomes manifest. The aim of this study was to investigate the associations between specific plasma markers of inflammation and OS, tau, and Amyloid-β 38, 40, and 42 levels in cognitively unimpaired middle-age and older individuals. Associations between inflammatory states identified through principal component analysis and AD biomarkers were investigated in middle-age (52-56 years,

Indexed as

Amyloid betaimmunoassaysinflammationmiddle-ageoxidative stressplasmatotal tau

Identifiers

PMID35740262
PMCPMC9219863
OpenAlexW4281553401

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.