Evidence map›Paper›PMID 38986044›Full record

ArticleNeurology2024

Age-Dependent Differences in Blood Levels of Glial Fibrillary Acidic Protein but Not Ubiquitin Carboxy-Terminal Hydrolase L1 in Children.

Rebekah Mannix, Erin Borglund, Alexandra Monashefsky, Christina Master, Daniel Corwin, Mohamed Badawy, Danny G Thomas, Andrew Reisner

Registry-linked trialAbstract read
In one paragraph

Article in Neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07585149 (Generating Intervals of Reference FFor Early Life Brain Biomarkers.), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT07585149 recruitingnot on this mapstarted 2026, after this paper: background citation

Generating Intervals of Reference FFor Early Life Brain Biomarkers.

TypeobservationalSponsorUniversity College CorkRan2026 to 2027Enrolled150ConditionsReference Intervals, Biomarker in Early Diagnosis, Neonatal
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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.

Rebekah MannixFrom the Division of Emergency Medicine, Boston Children's Hospital (R.M.), Harvard Medical School, MA; Computational Health Informatics Program (CHIP) (E.B., A.M.), Boston Children's Hospital, MA; Division of Sports Medicine (C.M.), Hospital of Philadelphia; Division of Emergency Medicine (D.C.), Children's Hospital of Philadelphia, PA; Division of Emergency Medicine (M.B.), UT Southwestern Medical Center, Dallas, TX; Division of Emergency Medicine (D.G.T.), Medical College of Wisconsin, Milwaukee; and Children's Hospital of Atlanta (A.R.), GA.ORCID 0000-0003-3608-2792
Erin BorglundFrom the Division of Emergency Medicine, Boston Children's Hospital (R.M.), Harvard Medical School, MA; Computational Health Informatics Program (CHIP) (E.B., A.M.), Boston Children's Hospital, MA; Division of Sports Medicine (C.M.), Hospital of Philadelphia; Division of Emergency Medicine (D.C.), Children's Hospital of Philadelphia, PA; Division of Emergency Medicine (M.B.), UT Southwestern Medical Center, Dallas, TX; Division of Emergency Medicine (D.G.T.), Medical College of Wisconsin, Milwaukee; and Children's Hospital of Atlanta (A.R.), GA.
Alexandra MonashefskyFrom the Division of Emergency Medicine, Boston Children's Hospital (R.M.), Harvard Medical School, MA; Computational Health Informatics Program (CHIP) (E.B., A.M.), Boston Children's Hospital, MA; Division of Sports Medicine (C.M.), Hospital of Philadelphia; Division of Emergency Medicine (D.C.), Children's Hospital of Philadelphia, PA; Division of Emergency Medicine (M.B.), UT Southwestern Medical Center, Dallas, TX; Division of Emergency Medicine (D.G.T.), Medical College of Wisconsin, Milwaukee; and Children's Hospital of Atlanta (A.R.), GA.
Christina MasterFrom the Division of Emergency Medicine, Boston Children's Hospital (R.M.), Harvard Medical School, MA; Computational Health Informatics Program (CHIP) (E.B., A.M.), Boston Children's Hospital, MA; Division of Sports Medicine (C.M.), Hospital of Philadelphia; Division of Emergency Medicine (D.C.), Children's Hospital of Philadelphia, PA; Division of Emergency Medicine (M.B.), UT Southwestern Medical Center, Dallas, TX; Division of Emergency Medicine (D.G.T.), Medical College of Wisconsin, Milwaukee; and Children's Hospital of Atlanta (A.R.), GA.ORCID 0000-0002-6717-4270
Daniel CorwinFrom the Division of Emergency Medicine, Boston Children's Hospital (R.M.), Harvard Medical School, MA; Computational Health Informatics Program (CHIP) (E.B., A.M.), Boston Children's Hospital, MA; Division of Sports Medicine (C.M.), Hospital of Philadelphia; Division of Emergency Medicine (D.C.), Children's Hospital of Philadelphia, PA; Division of Emergency Medicine (M.B.), UT Southwestern Medical Center, Dallas, TX; Division of Emergency Medicine (D.G.T.), Medical College of Wisconsin, Milwaukee; and Children's Hospital of Atlanta (A.R.), GA.
Mohamed BadawyFrom the Division of Emergency Medicine, Boston Children's Hospital (R.M.), Harvard Medical School, MA; Computational Health Informatics Program (CHIP) (E.B., A.M.), Boston Children's Hospital, MA; Division of Sports Medicine (C.M.), Hospital of Philadelphia; Division of Emergency Medicine (D.C.), Children's Hospital of Philadelphia, PA; Division of Emergency Medicine (M.B.), UT Southwestern Medical Center, Dallas, TX; Division of Emergency Medicine (D.G.T.), Medical College of Wisconsin, Milwaukee; and Children's Hospital of Atlanta (A.R.), GA.
Danny G ThomasFrom the Division of Emergency Medicine, Boston Children's Hospital (R.M.), Harvard Medical School, MA; Computational Health Informatics Program (CHIP) (E.B., A.M.), Boston Children's Hospital, MA; Division of Sports Medicine (C.M.), Hospital of Philadelphia; Division of Emergency Medicine (D.C.), Children's Hospital of Philadelphia, PA; Division of Emergency Medicine (M.B.), UT Southwestern Medical Center, Dallas, TX; Division of Emergency Medicine (D.G.T.), Medical College of Wisconsin, Milwaukee; and Children's Hospital of Atlanta (A.R.), GA.
Andrew ReisnerFrom the Division of Emergency Medicine, Boston Children's Hospital (R.M.), Harvard Medical School, MA; Computational Health Informatics Program (CHIP) (E.B., A.M.), Boston Children's Hospital, MA; Division of Sports Medicine (C.M.), Hospital of Philadelphia; Division of Emergency Medicine (D.C.), Children's Hospital of Philadelphia, PA; Division of Emergency Medicine (M.B.), UT Southwestern Medical Center, Dallas, TX; Division of Emergency Medicine (D.G.T.), Medical College of Wisconsin, Milwaukee; and Children's Hospital of Atlanta (A.R.), GA.

Funding

Genetic Analysis and Manipulation Core (GAEC)P50HD105351 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI Hisashi Umemori · 2021 to 2026
$9.4M
NICHD NIH HHS P50 HD105351
6 · The paper itself

Abstract

objectivesDespite the growing evidence of the clinical utility of blood-brain biomarkers in adults with traumatic brain injury (TBI), less is known about the performance of these biomarkers in children. We characterize age-dependent differences in levels of ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) and glial fibrillary acidic protein (GFAP) in children without TBI.

methodsPlasma biobank specimens from children and adolescents aged 0-<19 years without TBI were obtained, and UCH-L1 and GFAP levels were quantified. The relationship between age and biomarker expression was determined using previously defined aged epochs (<3.5 years, 3.5 years to <11 years, 11 years and older), then biomarker levels were compared with established thresholds for ruling out the need for a head CT in adults with a mild TBI (mTBI) (UCH-L1 400 pg/mL, GFAP 35 pg/mL).

resultsThe age range of the 366 control patients was 3 months-18 years. There was a significant negative association between age and GFAP but not UCH-L1. Only 1.4% of samples exceeded the UCH-L1 cutoff; however, 20% of samples exceeded the GFAP cutoff and 100% children younger than 3.5 years had values that exceeded the cutoff. DISCUSSION: Age seems to modify physiologic plasma GFAP levels. Diagnostic cutoffs for TBI based on GFAP but not UCH-L1 and may need to be adjusted in children younger than 11 years.

Indexed as

BiomarkersGlial Fibrillary Acidic ProteinUbiquitin ThiolesteraseAdolescentAge FactorsChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleBiomarkersGFAP protein, humanGlial Fibrillary Acidic ProteinUbiquitin ThiolesteraseUCHL1 protein, human

Identifiers

PMID38986044
PMCPMC11238939

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Registered trials

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.