Evidence map›Paper›PMID 40656115›Full record

ArticleNeuroscience applied2024

Cognitive inflexibility and immunome biomarkers in children with autism spectrum disorder.

Casara Jean Ferretti, Benjamin Lê Cook, Aakash Mahant Mahant, Philip Chu, Yin Zhao, Bonnie P Taylor, Betsy C Herold, Eric Hollander

Abstract read
In one paragraph

Article in Neuroscience applied, 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
–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

2 citing papers in PubMed.

  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.

Casara Jean FerrettiAlbert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Benjamin Lê CookHealth Equity Research Lab, Cambridge Health Alliance, Cambridge, MA, USA.
Aakash Mahant MahantAlbert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Philip ChuAlbert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Yin ZhaoAlbert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Bonnie P TaylorAlbert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Betsy C HeroldAlbert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Eric HollanderAlbert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive inflexibility is a transdiagnostic endophenotype that presents across a range of disorders, including autism spectrum disorder (ASD), which is maintained through adulthood, and encompasses both cognitive and behavioral rigidity. There is evidence for immune dysfunction in a subgroup of ASD, including systemic inflammation, cytokine dysregulation and anti-brain autoantibodies. Although immunome pathways are involved in ASD pathophysiology, there is little known about how they relate to symptom domains or symptom severity, and whether such biomarkers may be useful in optimizing future clinical trials. We correlated baseline clinical measures of cognitive inflexibility and resultant irritability with immunome biomarker levels in children with ASD, aged 5-18 years with ABC-I scores ≥18, CGI-S scores ≥4 and SRS-2 scores ≥66T, at Albert Einstein College of Medicine (AECOM). Non-parametric Spearman correlations and estimated multivariable regression analyses adjusting for potential confounders, including other clinical variables, race, sex, and age were completed. Strong positive correlations (r

Indexed as

Autism spectrum disorderBiomarkersCognitionCytokinesEndophenotypes

Identifiers

PMID40656115
PMCPMC12244093

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.