Evidence map›Paper›PMID 38770381›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Exploring the link between comorbidities and Alzheimer's dementia in the Australian Imaging, Biomarker & Lifestyle (AIBL) study.

Catherine Quynh Nhu Nguyen, Liwei Ma, Yi Ling Clare Low, Edwin C K Tan, Christopher Fowler, Colin L Masters, Liang Jin, Yijun Pan, AIBL research group

Abstract read
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Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

9 authors.

Catherine Quynh Nhu NguyenThe Florey Institute The University of Melbourne Parkville Victoria Australia.
Liwei MaThe Florey Institute The University of Melbourne Parkville Victoria Australia.
Yi Ling Clare LowThe Florey Institute The University of Melbourne Parkville Victoria Australia.
Edwin C K TanSchool of Pharmacy Faculty of Medicine and Health The University of Sydney Sydney New South Wales Australia.
Christopher FowlerThe Florey Institute The University of Melbourne Parkville Victoria Australia.
Colin L MastersThe Florey Institute The University of Melbourne Parkville Victoria Australia.
Liang JinThe Florey Institute The University of Melbourne Parkville Victoria Australia.
Yijun PanThe Florey Institute The University of Melbourne Parkville Victoria Australia.ORCID https://orcid.org/0000-0002-1442-3333
AIBL research group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMounting evidence suggests that certain comorbidities may influence the clinical evolution of Alzheimer's dementia (AD).

methodsWe conducted logistic regression analyses on the medical history and cognitive health diagnoses of participants in the Australian Imaging, Biomarker & Lifestyle study (

resultsA mixture of associations were observed. Higher comorbidity of anxiety and other neurological disorders was associated with higher odds of AD, while arthritis, cancer, gastric complaints, high cholesterol, joint replacement, visual defect, kidney and liver disease were associated with lower odds of AD. DISCUSSION: This study underscores the links between specific comorbidities and MCI/AD. Further research is needed to elucidate the longitudinal comorbidity-MCI/AD associations and underlying mechanisms of these associations. Highlights: Comorbidities that significantly increased AD odds included anxiety and other neurological disorders.Arthritis, cancer, gastric complaints, high cholesterol, joint replacement, visual defect, kidney and liver disease were associated with lower odds of AD.Alcohol consumption had the most significant confounding effect in the study.Visual-AD association was modified by age, sex, and

Indexed as

Alzheimer's dementiacognitive impairmentcomorbiditycross‐sectionalmild cognitive impairment

Identifiers

PMID38770381
PMCPMC11103763

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