Evidence map›Paper›PMID 41975206›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2026

Predicting the future for neonates with symptomatic congenital heart disease.

Mahati Pidaparti, Benjamin M Helm, Britney Reed, Paulomi M Chaudhry, Gabrielle Geddes, Melinda H Markham, Poonam M Puranik, Kristen R Suhrie

Abstract read
In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 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

8 authors.

Mahati PidapartiIndiana University School of Medicine, Department of Pediatrics, Division of Neonatal-Perinatal Medicine, Indianapolis, IN, USA.
Benjamin M HelmIndiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0002-5597-0202
Britney ReedIndiana University School of Medicine, Indianapolis, IN, USA.
Paulomi M ChaudhryIndiana University School of Medicine, Department of Pediatrics, Division of Neonatal-Perinatal Medicine, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0002-4776-0483
Gabrielle GeddesIndiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA.
Melinda H MarkhamIndiana University School of Medicine, Department of Pediatrics, Division of Neonatal-Perinatal Medicine, Indianapolis, IN, USA.
Poonam M PuranikIndiana University School of Medicine, Department of Pediatrics, Division of Cardiology, Indianapolis, IN, USA.
Kristen R SuhrieIndiana University School of Medicine, Department of Pediatrics, Division of Neonatal-Perinatal Medicine, Indianapolis, IN, USA. ksuhrie@iu.edu.ORCID http://orcid.org/0000-0003-2572-936X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDetermine prenatal and neonatal factors that predict infantile outcomes in patients with congenital heart disease (CHD). STUDY

designRetrospective cohort of 415 neonates with CHD admitted to a neonatal intensive care unit (NICU). Statistical tests included Chi-square, Fisher's Exact, Kruskal-Wallis, and multivariable logistic regression.

resultsCardiac lesion type was associated with mortality, length of stay, and enteral feeding tube support at discharge (EFTD) (p ≤ 0.01). A genetic diagnosis and an extra-cardiac congenital anomaly were associated with higher odds of respiratory support needs at discharge (RSND) [OR 2.8 (95% CI: 1.2, 6.5); 4.8 (1.9, 11.8)] and EFTD [5.5 (2.9, 10.8); 3.4 (2.4-9.7)]. Lower birth weight was associated with higher odds of RSND [0.5 (0.38, 0.66)], and lower gestational age with higher odds of EFTD [0.84 (0.75, 0.95)].

conclusionSeveral factors predicted adverse outcomes in infants with CHD, helping to identify high-risk cases for targeted care and improved parental guidance.

Indexed as

Heart Defects, CongenitalBirth WeightEnteral NutritionFemaleGestational AgeHumansInfant, NewbornIntensive Care Units, NeonatalLength of StayLogistic ModelsMaleRetrospective StudiesRisk Factors

Identifiers

PMID41975206
PMCPMC13423830

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.