Evidence map›Paper›PMID 39324538›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

The inverse association between cancer history and incident cognitive impairment: Addressing attrition bias.

Michelle Shardell, Alan M Rathbun, Ann Gruber-Baldini, Alice S Ryan, Jack Guralnik, Dimitrios Kapogiannis, Eleanor M Simonsick

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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
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

7 authors.

Michelle ShardellInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-5283-2082
Alan M RathbunDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Ann Gruber-BaldiniDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Alice S RyanDepartment of Medicine, Division of Gerontology, Geriatrics and Palliative Medicine, Baltimore VAMC, University of Maryland School of Medicine, Geriatric Research, Education and Clinical Center (GRECC), VA Maryland Health Care System, Baltimore, Maryland, USA.
Jack GuralnikDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Dimitrios KapogiannisIntramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Eleanor M SimonsickIntramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.

Funding

University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
Statistical methods for vitamin D targets for functional outcomes in older adultsR01AG048069 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI SHARDELL, MICHELLE DENISE · 2015 to 2025
$4.3M
Peripheral Nerve Function Decline in an Aged CohortR01AG028050 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STROTMEYER, ELSA S. · 2007 to 2015
$3.5M
Methods to Test the Role of Age-related Lifestyle and Vaginal Microenvironment Changes and the Prevention, Treatment, and Progression of Genitourinary Syndrome of MenopauseR01AG069915 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI REBECCA M. BROTMAN, Michelle Denise Shardell · 2021 to 2026
$3.1M
End of Life in the Very OldR01NR012459 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ALBERT, STEVEN M, LUNNEY, JUNE R · 2011 to 2015
$2.7M
Methods to Test Biomarkers of Aging as Shared Determinants of Alzheimers Disease and Related Dementias and Physical DisabilityR01AG079854 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI SHARDELL, MICHELLE DENISE · 2023 to 2025
$2.3M
Statistical Models and Mechanisms Linking Biomarkers of Aging to Cognitive-Physical Decline and DementiaRF1NS128360 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI SHARDELL, MICHELLE DENISE · 2022 to 2022
$2.2M
DYNAMICS OF HEALTH .AGING . AND BODY COMPOSITION /Pittsburgh/-260962101N01AG062101 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 1996 to 2004
$996k
DYNAMICS OF HEALTH . AGING . AND BODY COMPOSITION /Memphis/-26062103N01AG062103 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · 1996 to 2004
$793k
A Feasibility and Pilot Study of Combined Treatment Protocol using Aerobic Exercise and Duloxetine in Older Adults with Symptomatic Knee Osteoarthritis and Comorbid DepressionK01AG064041 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI RATHBUN, ALAN MICHAEL · 2019 to 2023
$619k
Epidemiology of the Inverse Comorbidity of Dementia and Cancer: Statistical Methods and Biological MechanismsR03AG070178 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI SHARDELL, MICHELLE DENISE · 2021 to 2021
$309k
HEALTH ABC--COORDINATING UNIT /California/-260062106N01AG062106 · NIA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · 1996 to 2004
$109k
National Institute on Aging Intramural Research ProgramNIA NIH HHS K01 AG064041NIA NIH HHS P30 AG028747NIA NIH HHS P30AG028747NIA NIH HHS R01 AG028050NIA NIH HHS R01 AG048069NIA NIH HHS R01AG048069NIA NIH HHS R01 AG069915NIA NIH HHS R01AG069915NIA NIH HHS R01 AG079854NIA NIH HHS R01AG079854NIA NIH HHS R03 AG070178NIA NIH HHS R03AG070178NIH HHS N01-AG-6-2101NIH HHS N01-AG-6-2103NIH HHS N01-AG-6-2106NIH HHS R01-AG028050NIH HHS R01-NR012459NINDS NIH HHS RF1 NS128360NINR NIH HHS R01 NR012459RRD VA IK6 RX003977the United States Department of Veterans Affairs Rehabilitation R&D (Rehab RD) Service (A.S.R. Senior Research Career Scientist IK6 RX003977)
6 · The paper itself

Abstract

introductionCancer is inversely associated with cognitive impairment. Whether this is due to statistical handling of attrition (death and censoring) is unknown.

methodsWe quantified associations between cancer history and incident cognitive impairment among Health, Aging, and Body Composition Study participants without baseline cognitive impairment or stroke (n = 2604) using multiple competing-risks models and their corresponding estimands: cause-specific, subdistribution, and marginal hazards, plus composite-outcome (cognitive impairment or all-cause mortality) hazards. All-cause mortality was also modeled.

resultsAfter covariate adjustment (demographics, apolipoprotein E ε4, lifestyle, health conditions), cause-specific and marginal hazard ratios (HRs) were similar to each other (≈ 0.84; P values < 0.05). The subdistribution HR was 0.764 (95% confidence interval [CI] = 0.645-0.906), and composite-outcome Cox model HR was 1.149 (95% CI = 1.016-1.299). Cancer history was positively associated with all-cause mortality (HR = 1.813; 95% CI = 1.525-2.156). DISCUSSION: Cause-specific, subdistribution, and marginal hazards models produced inverse associations between cancer and cognitive impairment. Competing risk models answer slightly different questions, and estimand choice influenced findings here. HIGHLIGHTS: Cancer history is inversely associated with incident cognitive impairment. Findings were robust to handling of competing risks of death. All models also addressed possible informative censoring bias. Cancer history was associated with 16% lower hazard of cognitive impairment. Cancer history was associated with 81% higher all-cause mortality hazard.

Indexed as

Cognitive DysfunctionNeoplasmsAgedAged, 80 and overBiasFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsRisk Factorscancercensoringcompeting riskssensitivity analysistime‐to‐event analysis

Identifiers

PMID39324538
PMCPMC11567823

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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.