Evidence map›Paper›PMID 37751855›Full record

ReviewSeminars in neurology2023

Blood-Based Biomarkers for Neuroprognostication in Acute Brain Injury.

Andrew M Nguyen, Vishal Saini, H E Hinson

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Seminars in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Andrew M NguyenNeurosciences Critical Care Program, Department of Neurology, Oregon Health & Science University, Portland, Oregon.
Vishal SainiNeurosciences Critical Care Program, Department of Neurology, Oregon Health & Science University, Portland, Oregon.
H E HinsonDepartment of Neurology, University of California San Francisco, San Francisco, California.

Funding

Predictors of Low-risk Phenotypes after Traumatic Brain Injury Incorporating Proteomic Biomarker Signatures.K23NS110828 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HINSON, HOLLY ELAINE · 2020 to 2024
$1.0M
NINDS NIH HHS K23 NS110828
6 · The paper itself

Abstract

Acute brain injury causes loss of functionality in patients that often is devastating. Predicting the degree of functional loss and overall prognosis requires a multifaceted approach to help patients, and more so their families, make important decisions regarding plans and goals of care. A variety of blood-based markers have been studied as one aspect of this determination. In this review, we discuss CNS-derived and systemic markers that have been studied for neuroprognostication purposes. We discuss the foundation of each protein, the conditions in which it has been studied, and how the literature has used these markers for interpretation. We also discuss challenges to using each marker in each section as well.

Indexed as

Brain InjuriesBiomarkersHumansPrognosisBiomarkers

Identifiers

PMID37751855
PMCPMC10668565

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.