Evidence map›Paper›PMID 37634228›Full record

ArticleEuropean journal of epidemiology2023

Association between cancer and dementia risk in the UK Biobank: evidence of diagnostic bias.

Jingxuan Wang, Peter Buto, Sarah F Ackley, Lindsay C Kobayashi, Rebecca E Graff, Scott C Zimmerman, Eleanor Hayes-Larson, Elizabeth Rose Mayeda, Stephen B Asiimwe, Camilla Calmasini and 1 more

Open access · greenAbstract read
In one paragraph

Article in European journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  3. Observational
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  7. The inverse association between cancer history and incident cognitive impairment: Addressing attrition bias.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
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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

11 authors at 3 institutions in 1 country.

Jingxuan WangDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Peter ButoDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Sarah F AckleyDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Lindsay C KobayashiDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Rebecca E GraffDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Scott C ZimmermanDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Eleanor Hayes-LarsonDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.
Elizabeth Rose MayedaDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.
Stephen B AsiimweDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Camilla CalmasiniDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
M Maria GlymourDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA. maria.glymour@ucsf.edu.
University of California, San Francisco · USUniversity of California, Los Angeles · USUniversity of Michigan–Ann Arbor · US

Funding

The inverse association between cancer and Alzheimers disease: comparing spurious and causal explanations to illuminate the causes of Alzheimers diseaseRF1AG059872 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLYMOUR, MEDELLENA MARIA · 2018 to 2021
$1.9M
Mathematical Models of Tau-PET Measures and Cognitive Decline in Alzheimer’s Disease Across the LifespanK99AG073454 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ACKLEY, SARAH · 2022 to 2024
$250k
NIA NIH HHS K99 AG073454NIA NIH HHS K99AG073454NIA NIH HHS RF1 AG059872NIA NIH HHS RF1AG059872
6 · The paper itself

Abstract

Epidemiological studies have identified an inverse association between cancer and dementia. Underlying methodological biases have been postulated, yet no studies have systematically investigated the potential for each source of bias within a single dataset. We used the UK Biobank to compare estimates for the cancer-dementia association using different analytical specifications designed to sequentially address multiple sources of bias, including competing risk of death, selective survival, confounding bias, and diagnostic bias. We included 140,959 UK Biobank participants aged ≥ 55 without dementia before enrollment and with linked primary care data. We used cancer registry data to identify cancer cases prevalent before UK Biobank enrollment and incident cancer diagnosed after enrollment. We used Cox models to evaluate associations of prevalent and incident cancer with all-cause dementia, Alzheimer's disease (AD), and vascular dementia. We used time-varying models to evaluate diagnostic bias. Over a median follow-up of 12.3 years, 3,310 dementia cases were diagnosed. All-site incident cancer was positively associated with all-cause dementia incidence (hazard ratio [HR] = 1.14, 95% CI: 1.02-1.29), but prevalent cancer was not (HR = 1.04, 95% CI: 0.92-1.17). Results were similar for vascular dementia. AD was not associated with prevalent or incident cancer. Dementia diagnosis was substantially elevated in the first year after cancer diagnosis (HR = 1.83, 95% CI: 1.42-2.36), after which the association attenuated to null, suggesting diagnostic bias. Following a cancer diagnosis, health care utilization or cognitive consequences of diagnosis or treatment may increase chance of receiving a dementia diagnosis, creating potential diagnostic bias in electronic health records-based studies.

Indexed as

Alzheimer DiseaseDementiaDementia, VascularNeoplasmsBiological Specimen BanksHumansUK BiobankAlzheimer’s diseasecancerDementiaDiagnostic bias

Identifiers

PMID37634228
PMCPMC10854217
OpenAlexW4386203371

What OpenQuestion holds

Textmetadata
LicenceTDM
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.