Evidence map›Paper›PMID 37045946›Full record

ArticlePediatric research2023

Functional morphometry: non-invasive estimation of the alveolar surface area in extremely preterm infants.

Emma E Williams, J Gareth Jones, Donald McCurnin, Mario Rüdiger, Mahesh Nanjundappa, Anne Greenough, Theodore Dassios

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Article in Pediatric research, 2023. 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
2.1field-weighted citation impact, top 13% 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, 8 citations in OpenAlex.

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  4. Behavior of Microbubbles on Air-Aqueous Interfaces.Langmuir : the ACS journal of surfaces and colloids · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 3 countries.

Emma E WilliamsWomen and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
J Gareth JonesCambridge University Clinical School, Hills Rd, Cambridge, UK.
Donald McCurninDivision of Neonatology, Department of Pediatrics, University of Texas Health, San Antonio, TX, USA.
Mario RüdigerNeonatology and Pediatric Critical Care Medicine, Department of Pediatrics, Medizinische Fakultät, Carl Gustav Carus, TU Dresden, Dresden, Germany.
Mahesh NanjundappaNeonatal Intensive Care Centre, King's College Hospital NHS Foundation Trust, London, UK.
Anne GreenoughWomen and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Theodore DassiosWomen and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK. theodore.dassios@kcl.ac.uk.
King's College London · GBKing's College Hospital NHS Foundation Trust · GBNational Institute for Health Research · GBTechnische Universität Dresden · DEThe University of Texas Health Science Center at San Antonio · USUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe main pathophysiologic characteristic of chronic respiratory disease following extremely premature birth is arrested alveolar growth, which translates to a smaller alveolar surface area (S

methodsPaired measurements of the fraction of inspired oxygen and transcutaneous oxygen saturation were used to calculate the ventilation/perfusion ratio, which was translated to S

resultsThirty infants with a median (range) gestational age of 26.3 (22.9-27.9) weeks were studied. The median (range) adjusted S

conclusionsThe alveolar surface area can be estimated non-invasively in extremely preterm infants. The adjusted alveolar surface area has the potential to predict the subsequent need for discharge home on supplemental oxygen. IMPACT: We describe a novel biomarker of respiratory disease following extremely preterm birth. The adjusted alveolar surface area index was derived by non-invasive measurements of the ventilation/perfusion ratio and adjusted by concurrent measurements of volumetric capnography. The adjusted alveolar surface area was markedly reduced in extremely preterm infants studied at 7 days of life and could predict the need for discharge home on supplemental oxygen. This method could be used at the bedside to estimate the alveolar surface area and provide an index of the severity of lung disease, and assist in monitoring, clinical management and prognosis.

Indexed as

Lung DiseasesPremature BirthFemaleGestational AgeHumansInfantInfant, Extremely PrematureInfant, NewbornOxygenOxygen

Identifiers

PMID37045946
PMCPMC10624622
OpenAlexW4365150406

What OpenQuestion holds

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LicenceCC BY
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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.