Evidence map›Paper›PMID 30840669›Full record

ArticlePloS one2019

Exploring clinical, echocardiographic and molecular biomarkers to predict bronchopulmonary dysplasia.

Maria Alvarez-Fuente, Laura Moreno, Paloma Lopez-Ortego, Luis Arruza, Alejandro Avila-Alvarez, Marta Muro, Enrique Gutierrez, Carlos Zozaya, Gema Sanchez-Helguera, Dolores Elorza and 7 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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  7. Lung ultrasound score as a tool to predict severity of bronchopulmonary dysplasia in neonates born ≤25 weeks of gestational age.Journal of perinatology : official journal of the California Perinatal Association · 2024
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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

17 authors at 8 institutions in 1 country.

Maria Alvarez-FuentePediatric Cardiology Department, Ramón y Cajal University Hospital, Madrid, Spain.ORCID 0000-0003-2130-7880
Laura MorenoDepartment of Pharmacology, School of Medicine, University Complutense of Madrid, Instituto de Investigación Sanitaria Gregorio Marañon (IiSGM), Ciber Enfermedades Respiratorias (CIBERES), Madrid, Spain.ORCID 0000-0001-9028-2299
Paloma Lopez-OrtegoNeonatology Department, La Paz University Hospital, Madrid, Spain.
Luis ArruzaNeonatology Department, Institute of the Child and Adolescent, Clínico San Carlos University Hospital-IdISSC, Madrid, Spain.
Alejandro Avila-AlvarezDepartment of Pediatrics, Complexo Hospitalario Universitario de A Coruña, A Coruña, Spain.
Marta MuroNeonatology Department, Puerta de Hierro University Hospital, Majadahonda, Madrid, Spain.
Enrique GutierrezPublic Health and Preventive Medicine Unit, School of Public Health- Instituto de Salud Carlos III, Madrid, Spain.
Carlos ZozayaNeonatology Department, La Paz University Hospital, Madrid, Spain.
Gema Sanchez-HelgueraClinical Analysis Department, Getafe University Hospital, Getafe, Madrid, Spain.
Dolores ElorzaNeonatology Department, La Paz University Hospital, Madrid, Spain.
Andrea Martinez-RamasDepartment of Pharmacology, School of Medicine, University Complutense of Madrid, Instituto de Investigación Sanitaria Gregorio Marañon (IiSGM), Ciber Enfermedades Respiratorias (CIBERES), Madrid, Spain.
Gema VillarNeonatology Department, Getafe University Hospital, Getafe, Madrid, Spain.
Carlos LabranderoPediatric Cardiology Department, La Paz University Hospital, Madrid, Spain.
Lucia MartinezNeonatology Department, Getafe University Hospital, Getafe, Madrid, Spain.
Teresa CasadoPediatric Cardiology Department, Ramón y Cajal University Hospital, Madrid, Spain.
Irene CuadradoNeonatology Department, Getafe University Hospital, Getafe, Madrid, Spain.
Maria Jesus Del CerroPediatric Cardiology Department, Ramón y Cajal University Hospital, Madrid, Spain.
Hospital Universitario de Getafe · ESHospital Universitario La Paz · ESInstituto Cajal · ESCentro de Investigación Biomédica en Red de Enfermedades Respiratorias · ESComplexo Hospitalario Universitario A Coruña · ESHospital Clínico San Carlos · ESHospital Universitario Puerta de Hierro Majadahonda · ESInstituto de Salud Carlos III · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBronchopulmonary dysplasia (BPD) is the most common chronic lung disease in childhood, related to prematurity, and the most common cause of pulmonary hypertension (PH) secondary to pulmonary disease in children. Moderate and severe BPD have a worse outcome and relate more frequently with PH. The prediction of moderate or severe BPD development in extremely premature newborns is vital to implement preventive strategies. Starting with the hypothesis that molecular biomarkers were better than clinical and echocardiographic factors, this study aims to explore the ability of clinical, echocardiographic and analytical variables to predict moderate or severe BPD in a cohort of extremely preterm infants. PATIENTS AND

methodsWe designed a prospective longitudinal study, in which we followed a cohort of preterm newborns (gestational age <28 weeks and weight ≤ 1250 grams). In these newborns we recorded weekly clinical and echocardiographic variables as well as blood and tracheal aspirate samples, to analyze molecular biomarkers (IL-6, IL-1, IP10, uric acid, HGF, endothelin-1, VEGF, CCL5). Variables and samples were collected since birth up to week 36 (postmenstrual age), time-point at which the diagnosis of BPD is established.

resultsWe included 50 patients with a median gestational age of 26 weeks (IQR 25-27) and weight of 871 g (SD 161,0) (range 590-1200g). Three patients were excluded due to an early death. Thirty-five patients (74.5%) developed BPD (mild n = 14, moderate n = 15, severe n = 6). We performed a logistic regression in order to identify risk factors for moderate or severe BPD. We compared two predictive models, one with two variables (mechanical ventilation and inter-ventricular septum flattening), and another-one with an additional molecular biomarker (ET-1).

conclusionsThe combination of clinical and echocardiographic variables is a valuable tool for determining the risk of BPD. We find the two variable model (mechanical ventilation and echocardiographic signs of PH) more practical for clinical and research purposes. Future research on BPD prediction should be oriented to explore the potential role of ET-1.

Indexed as

BiomarkersBronchopulmonary DysplasiaEchocardiographyFemaleFollow-Up StudiesGestational AgeHumansInfant, Extremely PrematureInfant, Low Birth WeightInfant, NewbornInfant, Premature, DiseasesLongitudinal StudiesMalePregnancyPrognosisProspective StudiesBiomarkers

Identifiers

PMID30840669
PMCPMC6402695
OpenAlexW2920880149

What OpenQuestion holds

Textmetadata
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.