Evidence map›Paper›PMID 30258015›Full record

ArticleNeurology2018

Traumatic brain injury associated with dementia risk among people with type 1 diabetes.

Paola Gilsanz, Kathleen Albers, Michal Schnaider Beeri, Andrew J Karter, Charles P Quesenberry, Rachel A Whitmer

Open access · bronzeAbstract read
In one paragraph

Article in Neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Gabapentin and cognitive impairment after traumatic brain injury: A multinational cohort of 49,925 patients.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Paola GilsanzFrom the Kaiser Permanente Division of Research (P.G., K.A., A.J.K., C.P.Q., R.A.W.), Oakland, CA; Department of Epidemiology and Biostatistics (P.G., R.A.W.), University of California, San Francisco; Department of Public Health Sciences (R.A.W.), University of California, Davis; Icahn School of Medicine at Mount Sinai (M.S.B.), New York, NY; The Joseph Sagol Neuroscience Center (M.S.B.), Sheba Medical Center, Ramat Gan, Israel; and Department of Epidemiology (A.J.K.), University of Washington, Seattle. Paola.Gilsanz@kp.org.
Kathleen AlbersFrom the Kaiser Permanente Division of Research (P.G., K.A., A.J.K., C.P.Q., R.A.W.), Oakland, CA; Department of Epidemiology and Biostatistics (P.G., R.A.W.), University of California, San Francisco; Department of Public Health Sciences (R.A.W.), University of California, Davis; Icahn School of Medicine at Mount Sinai (M.S.B.), New York, NY; The Joseph Sagol Neuroscience Center (M.S.B.), Sheba Medical Center, Ramat Gan, Israel; and Department of Epidemiology (A.J.K.), University of Washington, Seattle.
Michal Schnaider BeeriFrom the Kaiser Permanente Division of Research (P.G., K.A., A.J.K., C.P.Q., R.A.W.), Oakland, CA; Department of Epidemiology and Biostatistics (P.G., R.A.W.), University of California, San Francisco; Department of Public Health Sciences (R.A.W.), University of California, Davis; Icahn School of Medicine at Mount Sinai (M.S.B.), New York, NY; The Joseph Sagol Neuroscience Center (M.S.B.), Sheba Medical Center, Ramat Gan, Israel; and Department of Epidemiology (A.J.K.), University of Washington, Seattle.
Andrew J KarterFrom the Kaiser Permanente Division of Research (P.G., K.A., A.J.K., C.P.Q., R.A.W.), Oakland, CA; Department of Epidemiology and Biostatistics (P.G., R.A.W.), University of California, San Francisco; Department of Public Health Sciences (R.A.W.), University of California, Davis; Icahn School of Medicine at Mount Sinai (M.S.B.), New York, NY; The Joseph Sagol Neuroscience Center (M.S.B.), Sheba Medical Center, Ramat Gan, Israel; and Department of Epidemiology (A.J.K.), University of Washington, Seattle.
Charles P QuesenberryFrom the Kaiser Permanente Division of Research (P.G., K.A., A.J.K., C.P.Q., R.A.W.), Oakland, CA; Department of Epidemiology and Biostatistics (P.G., R.A.W.), University of California, San Francisco; Department of Public Health Sciences (R.A.W.), University of California, Davis; Icahn School of Medicine at Mount Sinai (M.S.B.), New York, NY; The Joseph Sagol Neuroscience Center (M.S.B.), Sheba Medical Center, Ramat Gan, Israel; and Department of Epidemiology (A.J.K.), University of Washington, Seattle.
Rachel A WhitmerFrom the Kaiser Permanente Division of Research (P.G., K.A., A.J.K., C.P.Q., R.A.W.), Oakland, CA; Department of Epidemiology and Biostatistics (P.G., R.A.W.), University of California, San Francisco; Department of Public Health Sciences (R.A.W.), University of California, Davis; Icahn School of Medicine at Mount Sinai (M.S.B.), New York, NY; The Joseph Sagol Neuroscience Center (M.S.B.), Sheba Medical Center, Ramat Gan, Israel; and Department of Epidemiology (A.J.K.), University of Washington, Seattle.
University of California, San Francisco · USUniversity of California, Davis · USSheba Medical Center · IL

Funding

UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Predictors of Late-life Cognitive Health in Type 1 DiabetesR01AG047500 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI WHITMER, RACHEL A · 2015 to 2019
$3.0M
Severe Hypoglycemia: Ascertainment, Surveillance and PharmacovigilanceR01DK103721 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI KARTER, ANDREW JOHN · 2015 to 2018
$2.2M
NIA NIH HHS P30 AG010129NIA NIH HHS R01 AG047500NIDDK NIH HHS P30 DK092924
6 · The paper itself

Abstract

objectiveTo examine the association between traumatic brain injury (TBI) and dementia risk among a cohort of middle-aged and elderly individuals with type 1 diabetes (T1D).

methodsWe evaluated 4,049 members of an integrated health care system with T1D ≥50 years old between January 1, 1996, and September 30, 2015. Dementia and TBI diagnoses throughout the study period were abstracted from medical records. Cox proportional hazards models estimated associations between time-dependent TBI and dementia adjusting for demographics, HbA1c, nephropathy, neuropathy, stroke, peripheral artery disease, depression, and dysglycemic events. Fine and Gray regression models evaluated the association between baseline TBI and dementia risk accounting for competing risk of death.

resultsA total of 178 individuals (4.4%) experienced a TBI and 212 (5.2%) developed dementia. In fully adjusted models, TBI was associated with 3.6 times the dementia risk (hazard ratio [HR] 3.64; 95% confidence interval [CI] 2.34, 5.68). When accounting for the competing risk of death, TBI was associated with almost 3 times the risk of dementia (HR 2.91; 95% CI 1.29, 5.68).

conclusionThis study demonstrates a marked increase in risk of dementia associated with TBI among middle-aged and elderly people with T1D. Given the complexity of self-care for individuals with T1D, and the comorbidities that predispose them to trauma and falls, future work is needed on interventions protecting brain health in this vulnerable population, which is now living to old age.

Indexed as

AgedAged, 80 and overBrain Injuries, TraumaticCohort StudiesDementiaDiabetes Mellitus, Type 1FemaleHumansInsurance Claim ReviewMaleMiddle AgedProportional Hazards ModelsPsychiatric Status Rating ScalesRisk FactorsTrauma Severity Indices

Identifiers

PMID30258015
PMCPMC6205690
OpenAlexW2892546322

What OpenQuestion holds

Textmetadata
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.