Evidence map›Paper›PMID 40886186›Full record

ArticlePediatric cardiology2026

A Novel Index to Predict Time to School Attendance After Pediatric Heart Transplant: SAAT Score.

Brooke Cohen, Zhi Mei He, Roman Gorchs, Nhu Thao Nguyen Galván, John Goss, Abbas Rana

Abstract read
PubMed Publisher
In one paragraph

Article in Pediatric cardiology, 2026. 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

6 authors.

Brooke CohenDepartment of Student Affairs, Baylor College of Medicine Houston, Houston, TX, USA. brooke.cohen@bcm.edu.ORCID http://orcid.org/0009-0005-6646-1023
Zhi Mei HeDepartment of Student Affairs, Baylor College of Medicine Houston, Houston, TX, USA.ORCID http://orcid.org/0000-0002-9070-0574
Roman GorchsDepartment of Student Affairs, Baylor College of Medicine Houston, Houston, TX, USA.ORCID http://orcid.org/0009-0004-8189-1630
Nhu Thao Nguyen GalvánDivision of Abdominal Transplantation, Michael E DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0002-1289-4692
John GossDivision of Abdominal Transplantation, Michael E DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA.
Abbas RanaDivision of Abdominal Transplantation, Michael E DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0003-2979-0598

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

School attendance is associated with increased quality of life in chronically ill pediatric patients and has a profound impact on child development[ 1, 2, 3, 4, 5, 6, 7, 8 ]. Despite the importance of school attendance, little research has been done to identify which pediatric transplant recipients are at risk for delayed school attendance due to morbidity. We conducted univariate and multivariate analysis on 5355 pediatric heart transplant recipients using the UNOS database. Recipients were split into two age groups, ≤ 4 year and 5-16 years. The outcome of interest was returning to school at age 6 for ≤ 4 years, and within 2 years post-transplant for 5-16 years. School attendance after transplant (SAAT scores) were generated via weighting significant variables (p < 0.05) based on odds ratio. We found 20 significant factors combined across both cohorts. The most significant protective factors included having a VAD/TAH, age, and transplantation with an ABO incompatible organ. The most significant risk factors included low-medium functional status, age, and elevated total bilirubin. The indices for each age group had Area Under the Receiver Operating Curve (AUROC) indicating high predictive value, at 0.81 (≤ 4 years) and 0.72 (5-16 years). In this study, we created SAAT scores to predict time to school attendance in both infants and children with the intention of identifying patients at risk for delayed school attendance who may benefit from targeted interventions including Enhanced Recovery Programs.

Indexed as

Heart TransplantationQuality of LifeReturn to SchoolSchoolsAdolescentChildChild, PreschoolFemaleHumansInfantMaleRetrospective StudiesRisk FactorsROC CurveTime FactorsCardiac surgeryCongenital heart diseaseHeart transplantSchool attendance

Identifiers

What OpenQuestion holds

Textmetadata
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.