Evidence map›Paper›PMID 23491406›Full record

ArticleAmerican journal of respiratory and critical care medicine2013

Catch-up alveolarization in ex-preterm children: evidence from (3)He magnetic resonance.

Manjith Narayanan, Caroline S Beardsmore, John Owers-Bradley, Cristian M Dogaru, Marius Mada, Iain Ball, Ruslan R Garipov, Claudia E Kuehni, Ben D Spycher, Michael Silverman

Abstract read
In one paragraph

Article in American journal of respiratory and critical care medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
–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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Lung volumes, gas transfer and oscillometry after preterm birth: systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  2. Impaired lung function and associated risk factors in children born prematurely: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2024
    Pooled it
  3. Bronchopulmonary dysplasia and extremely preterm birth: time for a broader perspective on long-term outcomes.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  4. Article
  5. Article
  6. Pulmonary MRI in Newborns and Children.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  7. Article
  8. Article
  9. Preterm lung and brain responses to mechanical ventilation and corticosteroids.Journal of perinatology : official journal of the California Perinatal Association · 2023
    Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Seeing Premature Lung Disease: Hyperpolarized Xe Magnetic Resonance Imaging.American journal of respiratory and critical care medicine · 2023
    Article
  15. Image Phenotyping of Preterm-Born Children Using HyperpolarizedAmerican journal of respiratory and critical care medicine · 2023
    Article
  16. Article
  17. Article
  18. Lifelong Lung Sequelae of Prematurity.International journal of environmental research and public health · 2022
    Review
  19. Review
  20. What is BPD today and in the next 50 years?American journal of physiology. Lung cellular and molecular physiology · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Manjith NarayananDepartment of Infection, Immunity and Inflammation, University of Leicester, Leicester, United Kingdom. mn87@leicester.ac.uk
Caroline S Beardsmore
John Owers-Bradley
Cristian M Dogaru
Marius Mada
Iain Ball
Ruslan R Garipov
Claudia E Kuehni
Ben D Spycher
Michael Silverman

Funding

Wellcome TrustWellcome Trust 081367/B/06/Z
6 · The paper itself

Abstract

rationaleHistologic data from fatal cases suggest that extreme prematurity results in persisting alveolar damage. However, there is new evidence that human alveolarization might continue throughout childhood and could contribute to alveolar repair.

objectivesTo examine whether alveolar damage in extreme-preterm survivors persists into late childhood, we compared alveolar dimensions between schoolchildren born term and preterm, using hyperpolarized helium-3 magnetic resonance.

methodsWe recruited schoolchildren aged 10-14 years stratified by gestational age at birth (weeks) to four groups: (1) term-born (37-42 wk; n = 61); (2) mild preterm (32-36 wk; n = 21); (3) extreme preterm (<32 wk, not oxygen dependent at 4 wk; n = 19); and (4) extreme preterm with chronic lung disease (<32 wk and oxygen dependent beyond 4 wk; n = 18). We measured lung function using spirometry and plethysmography. Apparent diffusion coefficient, a surrogate for average alveolar dimensions, was measured by helium-3 magnetic resonance. MEASUREMENTS AND MAIN

resultsThe two extreme preterm groups had a lower FEV1 (P = 0.017) compared with term-born and mild preterm children. Apparent diffusion coefficient was 0.092 cm(2)/second (95% confidence interval, 0.089-0.095) in the term group. Corresponding values were 0.096 (0.091-0.101), 0.090 (0085-0.095), and 0.089 (0.083-0.094) in the mild preterm and two extreme preterm groups, respectively, implying comparable alveolar dimensions across all groups. Results did not change after controlling for anthropometric variables and potential confounders.

conclusionsAlveolar size at school age was similar in survivors of extreme prematurity and term-born children. Because extreme preterm birth is associated with deranged alveolar structure in infancy, the most likely explanation for our finding is catch-up alveolarization.

Indexed as

Infant, PrematureAdolescentBody Weights and MeasuresChildFemaleHumansInfant, NewbornMagnetic Resonance SpectroscopyMalePulmonary Alveoli

Identifiers

PMID23491406
PMCPMC3734619

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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.