Evidence map›Paper›PMID 42044082›Full record

ReviewDevelopmental neuroscience2026

Long-Term Consequences of Preterm Birth: A Lifespan Perspective.

Lina F Chalak, Natalie Vega Ortiz, Jennifer Joukhdar, Kara N Goss

Abstract readReview
In one paragraph

Review in Developmental neuroscience, 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

4 authors.

Lina F ChalakDivision of Neonatal-Perinatal Medicine, Department of Pediatrics, UT Southwestern Medical Center and Children's Medical Center, Dallas, Texas, USA, lina.chalak@utsouthwestern.edu.
Natalie Vega OrtizDivision of Neonatal-Perinatal Medicine, Department of Pediatrics, UT Southwestern Medical Center and Children's Medical Center, Dallas, Texas, USA.
Jennifer JoukhdarDivision of Neonatal-Perinatal Medicine, Department of Pediatrics, UT Southwestern Medical Center and Children's Medical Center, Dallas, Texas, USA.
Kara N GossDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreterm birth is increasingly recognized as a determinant of health across the lifespan, influencing neurodevelopment, psychiatric risk, cardiovascular function, and mortality. This review synthesizes current evidence linking early life adversity, including that associated with prematurity, to the brain-heart axis. We further describe the "fetus to fifty" model, highlighting how the early life experiences of preterm-born infants impact adult trajectories across the lifespan. SUMMARY: Cardiovascular and neurodevelopmental vulnerabilities in preterm-born infants are closely linked. Emerging evidence suggests that suboptimal perinatal hemodynamics and inflammation contribute to a shared cardio-cerebral phenotype, in which premature cardiovascular aging may impair cerebrovascular reserve and increase the risk of cognitive decline. KEY MESSAGES: We review the fundamental physiology underlying the early origins of diseases relating to mental health, personality, psychiatric diagnosis, neuroanatomical changes, and cardiopulmonary outcomes, emphasizing the interplay between biological vulnerability and social determinants. Lastly, we identify gaps in knowledge and future research directions to better understand preterm-born adults.

Indexed as

Cardiac instabilityEarly life adversityNeurodevelopmental outcomesPreterm birth

Identifiers

PMID42044082
PMCPMC13286471

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Registered trials

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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.