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7,562 results for “pediatric”
PRMT5 promotes growth of pediatric high grade glioma [bulk RNA-seq]
GEO Series GSE261512. Homo sapiens. 20 samples. Type: Expression profiling by high throughput sequencing.
EZH2 inhibition as a targeted therapy for H3K27M mutant pediatric gliomas [ChIP-seq]
GEO Series GSE71225. Mus musculus; Homo sapiens. 13 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
microRNA expression profile of human thymus populations corresponding to 8 sequential T-cell developmental stages isolated from 3 independent pediatric thymus samples.
GEO Series GSE299842. Homo sapiens. 23 samples. Type: Non-coding RNA profiling by array.
BRAF V600E in Pediatric Low-Grade Gliomas: Exploring the Tumor Microenvironment and Immune Cell Infiltration dynamics in vivo.
GEO Series GSE252367. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
The single-cell transcriptional landscape of the pediatric cystic fibrosis airway from minimally invasive respiratory specimens
GEO Series GSE271984. Homo sapiens. 16 samples. Type: Other; Expression profiling by high throughput sequencing.
Risk factors for neurocognitive impairment, emotional distress, and poor quality of life in survivors of pediatric rhabdomyosarcoma: A report from the Childhood Cancer Survivor Study
<p>Dataset contains all variables used in the manuscript. </p> <p>Variable name file describes the variable names in details.</p>
Figure 4 from: Hadzhieva BR, Mihaylova AA, Dimitrov MV, Kilova KP (2024) Changes in the list of over-the-counter drugs containing biologically active substances of plant origin which are intended to be applied among pediatric patients in Bulgaria. Pharmacia 71: 1-5. https://doi.org/10.3897/pharmacia.71.e121793
Figure 4 ОТС drugs with BAS of plant origin applied among children with a cold and flu.
ENIGMA Pediatric msTBI diffusion MRI supplemental data
<p><b>Objective</b>: Our study addressed aims: (1) test the hypothesis that moderate-severe TBI in pediatric patients is associated with widespread white matter (WM) disruption; (2) test the hypothesis that age and sex impact WM organization after injury; and (3) examine associations between WM organization and neurobehavioral outcomes.</p> <p><b>Methods</b>: Data from ten previously enrolled, existing cohorts recruited from local hospitals and clinics were shared with the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Pediatric msTBI working group. We conducted a coordinated analysis of diffusion MRI (dMRI) data using the ENIGMA dMRI processing pipeline.</p> <p><b>Results</b>: Five hundred and seven children and adolescents (244 with complicated mild to severe TBI [msTBI] and 263 controls) were included. Patients were clustered into three post-injury intervals: acute/subacute - <2 months, post-acute - 2-6 months, chronic - 6+ months. Outcomes were dMRI metrics and post-injury behavioral problems as indexed by the Child Behavior Checklist (CBCL). Our analyses revealed altered WM diffusion metrics across multiple tracts and all post-injury intervals (effect sizes ranging between <i>d</i>=-0.5 to -1.3). Injury severity is a significant contributor to the extent of WM alterations but explained less variance in dMRI measures with increasing time post-injury. We observed a sex-by-group interaction: females with TBI had significantly lower fractional anisotropy in the uncinate fasciculus than controls (𝞫=0.043), which coincided with more parent-reported behavioral problems (𝞫=-0.0027).</p> <p><b>Conclusions</b>: WM disruption after msTBI is widespread, persistent, and influenced by demographic and clinical variables. Future work will test techniques for harmonizing neurocognitive data, enabling more advanced analyses to identify symptom clusters and clinically-meaningful patient subtypes.</p>
Disparities in pediatric patient portal adoption and feature use
<p>Objective: Disparities in adult patient portal adoption are well-documented; however, less is known about disparities in portal adoption in pediatrics. This study examines the prevalence and factors associated with patient portal activation and use of specific portal features in general pediatrics.</p> <p>Materials and Methods: We analyzed electronic health record (EHR) data from 2012-2020 in a large academic medical center that offers both parent and adolescent portals. We summarized portal activation and use of select portal features (messaging, records access and management, appointment management, visit/admissions summaries, and interactive feature use). We used logistic regression to model factors associated with patient portal activation among all patients along with feature use and frequent feature use among ever users (i.e., ≥1 portal use).</p> <p>Results: Among 52,713 unique patients, 39% had activated the patient portal, including 36% of patients aged 0-11, 41% of patients aged 12-17 and 62% of patients aged 18-21 years. Among activated accounts, ever use of specific features ranged from 28% for visit/admission summaries to 92% for records access and management. Adjusted analyses showed patients with activated accounts were more likely to be adolescents or young adults, white, female, privately insured, and less socioeconomically vulnerable. Individual feature use among ever users generally followed the same pattern.</p> <p>Conclusions: Our findings demonstrate that important disparities persist in portal adoption in pediatric populations, highlighting the need for strategies to promote equitable access to patient portals.</p>
Premature Aging as an Accumulation of Deficits in Young Adult Survivors of Pediatric Cancer
<p>The dataset contains 4683 participants with all variables used for the analyses of paper “Premature Aging as an Accumulation of Deficits in Young Adult Survivors of Pediatric Cancer”. Here is the format for this data set.</p> <p><strong>proc</strong> <strong>format</strong>;</p> <p> value BMI3gf <strong>.</strong>="Missing" <strong>1</strong>="BIM <18.5" <strong>0</strong>="BIM 18.5 to <30" <strong>2</strong>="BIM>=30";</p> <p> value gender2gf <strong>.</strong>="Missing" <strong>1</strong>="Female" <strong>2</strong>="Male";</p> <p> value race3gf <strong>.</strong>="Missing" <strong>1</strong>="Non-Hispanic White" <strong>2</strong>="Non-Hispanic Black" <strong>3</strong>="Other";</p> <p> value race2gf <strong>.</strong>="Missing" <strong>1</strong>="Non-Hispanic White" <strong>2</strong>="Other";</p> <p> value edu5gf <strong>.</strong>="Missing" <strong>1</strong>="<High School" <strong>2</strong>="High School or GED" <strong>3</strong>="Some Training/College" <strong>4</strong>="College Degree" <strong>5</strong>="5: >College Degree";</p> <p> value emp3gf <strong>.</strong>="Missing" <strong>1</strong>="Unemployed" <strong>2</strong>="Part-time" <strong>3</strong>="Full-time";</p> <p> value mstat4gf <strong>.</strong>="Missing" <strong>1</strong>="Single, Never Married" <strong>2</strong>="Widowed" <strong>3</strong>="Divorced/Separated" <strong>4</strong>="Married/Living as Married";</p> <p> value hin3gf <strong>.</strong>="Missing" <strong>1</strong>="=<$19,999" <strong>2</strong>="$20,000-$59,999" <strong>3</strong>=">=$60,000";</p> <p> value smkf <strong>.</strong>="Missing" <strong>1</strong>="Former smoke" <strong>2</strong>="Now smoke" <strong>3</strong>="Never smoke";</p> <p> value scrn2gf <strong>.</strong>="Missing" <strong>1</strong>=">2 hours" <strong>0</strong>="<=2 hours";</p> <p> value vphact2gf <strong>.</strong>="Missing" <strong>0</strong>="Physical inactivity (<150)" <strong>1</strong>="Physical activity (>=150)";</p> <p> value yes1no0f <strong>.</strong>="Missing" <strong>1</strong>="Yes" <strong>0</strong>="No";</p> <p> value dgrp11gf <strong>.</strong>="Missing" <strong>0</strong>="No diagnosis" <strong>1</strong>="Acute lymphoblastic leukemia" <strong>2</strong>="Acute Myeloid Leukemia" <strong>3</strong>="CNS tumor" <strong>4</strong>="Neuroblastoma"</p> <p> <strong>5</strong>="Hodgkin lymphoma" <strong>6</strong>="Non-Hodgkin lymphoma" <strong>7</strong>="Osteosarcoma" <strong>8</strong>="Ewing sarcoma" <strong>9</strong>="Soft tissue sarcoma" <strong>10</strong>="Retinoblastoma"</p> <p> <strong>11</strong>="Wilms tumor" <strong>12</strong>="Others";</p> <p> value cran2gf <strong>.</strong>="Missing" <strong>1</strong>="0 to 2 Gy" <strong>2</strong>="> 2 Gy";</p> <p> value deathf <strong>.</strong>="Missing" <strong>1</strong>="Death" <strong>0</strong>="Censor";</p> <p> value DAI3gf <strong>.</strong>="Missing" <strong>1</strong>="Robust (DAI 0 to <0.2)" <strong>2</strong>="Pre-frail (DAI 0.2 to <0.35)" <strong>3</strong>="frailty (DAI >=0.35)";</p> <p> value ydx5gf <strong>.</strong>="Missing" <strong>1</strong>="<=1980" <strong>2</strong>="1981 to <=1990" <strong>3</strong>="1991 to <=2000" <strong>4</strong>=">2000";</p> <p> <strong>run</strong>;</p>
Dataset: Spectral Flow cytometry of bone marrow cells from pediatric Acute Myeloid Leukemia patients
<p>Spectral Flow cytometry dataset of bone marrow cells from pediatric Acute Myeloid Leukemia patients</p>
A polygenic score for acute vaso-occlusive pain in pediatric sickle cell disease
<p><a href="https://viz.stjude.cloud/communityData/PGS_snpLists.xlsx">Polygenic Risk Scores</a> is from the Pain study described below:</p> <p>Recurrent acute pain, or vaso-occlusive pain crisis (VOP), is the most common complication of sickle cell disease and correlates strongly with increased hospital visits and early mortality <a href="https://pubmed.ncbi.nlm.nih.gov/1710777/">PMID: 1710777</a>. While the genetics of VOP in sickle cell patients has been studied (PMID: <a href="https://pubmed.ncbi.nlm.nih.gov/29205277/">29205277</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/27883292/">27883292</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/25102390/">25102390</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/30079801/">30079801</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/22925497/">22925497</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/29531649/">29531649</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/29620434/">29620434</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/19468207/">19468207</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/20172753/">20172753</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/22576309/">22576309</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/30031848/">30031848</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/24136375/">24136375</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/27603703/">27603703</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/29559808/">29559808</a>), it is not fully understood.</p> <p>Using WGS, we interrogated the <em>a</em>-thalassemia deletion -<em>a</em>3.7 and 133 candidate risk single nucleotide polymorphisms (SNPs) across an additional 65 genes for association with VOP: 11 SNPs in 3 gene regions associated with fetal hemoglobin (HbF) and 122 additional SNPs in 62 genes previously reported to be associated with pain due to SCD and/or other etiologies. We then constructed unweighted polygenic risk scores (PGSs) by counting the total number of risk alleles per individual across the 11 HbF SNPs (PGSHbF) and the 5 SNPs in COMT (PGSCOMT), where COMT is the gene previously associated with SCD pain (PMID: <a href="https://pubmed.ncbi.nlm.nih.gov/29559808/">29559808</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/215537663/">15537663</a>). We also defined a final PGS comprised of these 16 SNPs plus another 5 internally-validated candidate SNPs (PGSHbF+COMT+5snps), which was more strongly associated with acute VOP than any individual variant. Additionally, patients with the highest 5% of scores had 3-fold more pain events than the bottom 5% but were 5 times more likely to be on hydroxyurea, indicating that patients with high scores might benefit from a second drug.</p>
Relative Bioavailibilty for Pediatric Powder for Suspension (PfOS) Formulation
ClinicalTrials.gov study NCT01647659. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Factors Influencing Pediatric Asthma
ClinicalTrials.gov study NCT03302962. IPD Sharing: NO. Countries: 1. Publications: 0.
Intranasal Dexmedetomidine Versus Intranasal Midazolam for MRI In Pediatrics
ClinicalTrials.gov study NCT04652661. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effect of Stoma Care Education on the Knowledge and Skill Levels of Pediatric Surgery Nurses
ClinicalTrials.gov study NCT04984161. IPD Sharing: NO. Countries: 1. Publications: 0.
Study Comparing Atomizerd Midazolam & Fentanyl and Dexmedomidine for Procedural Sedation in Adult and Pediatric Patient (2 to 60 Years Old)
ClinicalTrials.gov study NCT07166666. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Phase 1 Crohn's Pediatric Sub-study of MSC AFP
ClinicalTrials.gov study NCT03014219. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Patient Reported Outcomes in Adults With Pediatric-onset Hypophosphatasia Treated With Strensiq® (Asfotase Alfa)
ClinicalTrials.gov study NCT04195763. IPD Sharing: NO. Countries: 1. Publications: 0.
Vascular Endothelial Inflammation and Dysfunction in Pediatric Long-term Cancer Survivors
ClinicalTrials.gov study NCT02032121. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.