Evidence map›Paper›PMID 40562635›Full record

ArticleBritish journal of anaesthesia2026

Perioperative polygenic and APOE-based genetic risk assessment for neurocognitive disorders: a biobank study.

Mariana Thedim, Jie Hu, Matthew Maher, Jeanine Wiener-Kronish, Richa Saxena, Susana Vacas

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Article in British journal of anaesthesia, 2026. 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. Review
  3. Article
  4. PreoperativeFrontiers in bioinformatics · 2026
    Review
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

6 authors.

Mariana ThedimDepartment of Anesthesiology, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
Jie HuDepartment of Anesthesiology, Mass General Brigham, Harvard Medical School, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Matthew MaherCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Jeanine Wiener-KronishDepartment of Anesthesiology, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
Richa SaxenaDepartment of Anesthesiology, Mass General Brigham, Harvard Medical School, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Susana VacasDepartment of Anesthesiology, Mass General Brigham, Harvard Medical School, Boston, MA, USA. Electronic address: svacas@mgh.harvard.edu.

Funding

Genomics-guided sleep biomarker discovery for early Alzheimer's disease: A wearables studyR01AG082354 · NIA · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Joyita Dutta, Richa Saxena · 2024 to 2026
$2.3M
Mechanisms Mediating Postoperative Neurocognitive DisordersK23GM132795 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VACAS, SUSANA · 2019 to 2023
$1.0M
NIA NIH HHS R01 AG082354NIGMS NIH HHS K23 GM132795
6 · The paper itself

Abstract

backgroundPreoperative risk assessment is a critical step in developing targeted preventive and therapeutic strategies. Although genetic biomarkers have shown considerable promise in assessing and stratifying dementia risk, their application in the perioperative period remains unexplored. Given the recognised effects of surgery and anaesthesia on perioperative cognitive trajectories, this study aimed to evaluate the preoperative neurocognitive genetic risk profiles of a surgical population and their influence on postoperative outcomes.

methodsData from the Mass General Brigham Biobank were analysed for male and female surgical patients aged 40-89 yr without a previous diagnosis of Alzheimer's disease. The polygenic risk score for Alzheimer's disease was calculated, and apolipoprotein E (APOE) genotypes were inferred from the study participants. Logistic regression was used to examine the associations between APOE genotype and the polygenic risk score for Alzheimer's disease with neurocognitive disorders.

resultsThe surgical population comprised 33 526 patients, of whom 86% had European ancestry and 25% carried at least one APOE-ε4 allele. Among patients of European ancestry, the polygenic risk score for Alzheimer's disease was associated with higher risk of Alzheimer's disease (odds ratio [OR], 2.25 [95% confidence interval, 1.64-3.09]; false discovery rate [FDR] <0.001). Patients carrying APOE-ε4 alleles had an increased risk of neurocognitive disorders (e.g. delirium: OR, 1.32 [1.19-1.47], FDR <0.001; mild cognitive impairment: OR, 1.70 [1.49-1.94], FDR <0.001; and Alzheimer's disease: OR, 3.42 [2.72-4.29], FDR <0.001).

conclusionsAPOE genotypes and polygenic risk scores are valuable for exploring neurocognitive genetic risk profiles in surgical populations and have the potential to enhance preoperative risk assessment strategies.

Indexed as

Apolipoproteins EMultifactorial InheritanceNeurocognitive DisordersAdultAgedAged, 80 and overAlzheimer DiseaseBiological Specimen BanksFemaleGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedPerioperative PeriodRisk AssessmentApoE protein, humanApolipoproteins Eapolipoprotein Ebiobankgenetic riskperioperative neurocognitive disorderspolygenic risk scoressurgical patients

Identifiers

PMID40562635
PMCPMC13168963

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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.