Evidence map›Paper›PMID 38346717›Full record

ArticleBrain and behavior2024

Plasma SOMAmer proteomics of postoperative delirium.

Jacqueline M Leung, Julio C Rojas, Laura P Sands, Brandon Chan, Binita Rajbanshi, Zhiyuan Du, Pang Du, Perioperative Medicine Research group

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 2 institutions in 1 country.

Jacqueline M LeungDepartment of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-2008-2491
Julio C RojasMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA.
Laura P SandsVirginia Tech, Center for Gerontology, Blacksburg, Virginia, USA.
Brandon ChanMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA.
Binita RajbanshiMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA.
Zhiyuan DuVirginia Tech, Department of Statistics, Blacksburg, Virginia, USA.
Pang DuVirginia Tech, Department of Statistics, Blacksburg, Virginia, USA.
Perioperative Medicine Research groupDepartment of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, California, USA.
University of California, San Francisco · USVirginia Tech · US

Funding

The role of genomics in postoperative delirium and sedationR01NR017622 · NINR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEUNG, JACQUELINE M · 2019 to 2021
$2.6M
Proteomics for fluid biomarker discovery in frontotemporal dementiaK23AG059888 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROJAS-MARTINEZ, JULIO CESAR · 2019 to 2023
$995k
The Effects of Light vs Deep Anesthesia on Postoperative Cognitive OutcomesR21AG048456 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEUNG, JACQUELINE M · 2015 to 2016
$444k
NIA NIH HHS K23 AG059888NIA NIH HHS R21 AG048456NINR NIH HHS R01 NR017622
6 · The paper itself

Abstract

backgroundPostoperative delirium is prevalent in older adults and has been shown to increase the risk of long-term cognitive decline. Plasma biomarkers to identify the risk for postoperative delirium and the risk of Alzheimer's disease and related dementias are needed.

methodsThis biomarker discovery case-control study aimed to identify plasma biomarkers associated with postoperative delirium. Patients aged ≥65 years undergoing major elective noncardiac surgery were recruited. The preoperative plasma proteome was interrogated with SOMAmer-based technology targeting 1433 biomarkers.

resultsIn 40 patients (20 with vs. 20 without postoperative delirium), a preoperative panel of 12 biomarkers discriminated patients with postoperative delirium with an accuracy of 97.5%. The final model of five biomarkers delivered a leave-one-out cross-validation accuracy of 80%. Represented biological pathways included lysosomal and immune response functions.

conclusionIn older patients who have undergone major surgery, plasma SOMAmer proteomics may provide a relatively non-invasive benchmark to identify biomarkers associated with postoperative delirium.

Indexed as

DeliriumEmergence DeliriumAgedBiomarkersCase-Control StudiesHumansPostoperative ComplicationsProteomicsBiomarkersbiomarkerspostoperative deliriumproteomics

Identifiers

PMID38346717
PMCPMC10861352
OpenAlexW4392316464

What OpenQuestion holds

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LicenceCC BY
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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.