Evidence map›Paper›PMID 35884025›Full record

ArticleChildren (Basel, Switzerland)2022

PICU Survivorship: Factors Affecting Feasibility and Cohort Retention in a Long-Term Outcomes Study.

Sarah A Sobotka, Emma J Lynch, Ayesha V Dholakia, Anoop Mayampurath, Neethi P Pinto

Open access · goldAbstract read
In one paragraph

Article in Children (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Reply to C Pang and L Zhao.Advances in nutrition (Bethesda, Md.) · 2026
    Article
  2. Review
  3. Observational
  4. 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

5 authors at 4 institutions in 1 country.

Sarah A SobotkaSection of Developmental and Behavioral Pediatrics, Department of Pediatrics, The University of Chicago, 950 East 61st Street, Suite 207, Chicago, IL 60637, USA.ORCID 0000-0001-7352-2043
Emma J LynchSection of Developmental and Behavioral Pediatrics, Department of Pediatrics, The University of Chicago, 950 East 61st Street, Suite 207, Chicago, IL 60637, USA.
Ayesha V DholakiaDepartment of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA.
Anoop MayampurathDepartment of Biostatistics & Medical Informatics, The University of Wisconsin-Madison, Madison, WI 53705, USA.
Neethi P PintoDivision of Critical Care Medicine, Department of Anesthesiology and Critical Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
University of Chicago · USBoston Children's Hospital · USChildren's Hospital of Philadelphia · USUniversity of Wisconsin–Madison · US

Funding

Using Machine Learning to Predict Clinical Deterioration in Hospitalized ChildrenK01HL148390 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI MAYAMPURATH, ANOOP · 2019 to 2023
$738k
Predictors of Days at Home for Children with Mechanical Ventilator AssistanceK23HD097276 · NICHD · UNIVERSITY OF CHICAGO · PI SOBOTKA, SARAH ANN · 2019 to 2021
$474k
HRSA HHS LEND, T73MC11047National Heart Lung and Blood Institute K01HL148390NHLBI NIH HHS K01 HL148390NICHD NIH HHS K23 HD097276The Bucksbaum Institute for Clinical Excellence at The University of Chicago N/AThe University of Chicago Comer Development Board N/AUniversity of Chicago Pritzker School of Medicine Summer Research Program and Scholarship and Discovery Program N/A
6 · The paper itself

Abstract

Our understanding of longitudinal outcomes of Pediatric Intensive Care Unit (PICU) survivors is limited by the heterogeneity of follow-up intervals, populations, and outcomes assessed. We sought to demonstrate (1) the feasibility of longitudinal multidimensional outcome assessment and (2) methods to promote cohort retention. The objective of this presented study was to provide details of follow-up methodology in a PICU survivor cohort and not to present the outcomes at long-term follow-up for this cohort. We enrolled 152 children aged 0 to 17 years admitted to the PICU in a prospective longitudinal cohort study. We examined resource utilization, family impact of critical illness, and neurodevelopment using the PICU Outcomes Portfolio (POP) Survey which included a study-specific survey and validated tools: 1. Functional Status Scale, 2. Pediatric Evaluation of Disability Inventory Computer Adaptive Test, 3. Pediatric Quality of Life Inventory, 4. Strengths and Difficulties Questionnaire, and 5. Vanderbilt Assessment Scales for Attention Deficit-Hyperactivity Disorder. POP Survey completion rates were 89%, 78%, and 84% at 1, 3, and 6 months. Follow-up rates at 1, 2, and 3 years were 80%, 55%, and 43%. Implementing a longitudinal multidimensional outcome portfolio for PICU survivors is feasible within an urban, tertiary-care, academic hospital. Our attrition after one year demonstrates the long-term follow-up challenges in this population. Our findings inform ongoing efforts to implement core outcome sets after pediatric critical illness.

Indexed as

feasibilitylong-term outcomesneurodevelopmentPICU follow-upPICU survivors

Identifiers

PMID35884025
PMCPMC9317147
OpenAlexW4285391533

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.