Evidence map›Paper›PMID 39988689›Full record

ArticleBMC medicine2025

Guidelines for the use of lung ultrasound to optimise the management of neonatal respiratory distress: international expert consensus.

Jing Liu, Riccardo Inchingolo, Pradeep Suryawanshi, Bin-Bin Guo, Dalibor Kurepa, Rafael González Cortés, Wei Yan, Jing-Han Chi, Cecilia M Acosta, Mateusz Jagła and 18 more

Abstract readConsensus Statement
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
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  5. Observational
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  11. Review
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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

28 authors.

Jing LiuDepartment of Neonatology and NICU, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No.251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China. liujingbj@live.cn.ORCID http://orcid.org/0000-0002-1735-840X
Riccardo InchingoloUOC Pneumologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Pradeep SuryawanshiDepartment of Neonatology, Bharati Vidyapeeth University Medical College, Pune, India.
Bin-Bin GuoDepartment of Ultrasound, Sixth Affiliated Hospital of Harbin Medical University, Harbin, China.
Dalibor KurepaCohen Children's Medical Center, Northwell Health, New York, USA.
Rafael González CortésPediatric Intensive Care, Marañón General University Hospital, Madrid, Gregorio, Spain.
Wei YanDepartment of Ultrasound, Zhumadian Central Hospital of Henan Province, Zhumadian, China.
Jing-Han ChiSenior Department of Pediatrics, The Seventh Medical Centerof , PLA General Hospital, Beijing, China.
Cecilia M AcostaDepartment of Anesthesia, Hospital Privado de Comunidad, Mar del Plata, Argentina.
Mateusz JagłaJagiellonian University Collegium Medicum, Krakow, Poland.
Deepak SharmaDepartment of Neonatology, Cradle Children Hospital, Jaipur, Rajasthan, India.
Erich SorantinDivision of Pediatric Radiology, Department of Radiology, Medical University Graz, Graz, Austria.
Kai-Sheng HsiehChildren's Hospital, China Medical University, Taichung, Taiwan.
Giulia GrazianiUnità Operativa Di Pediatria E Neonatologia, Ospedale Santa Maria Delle Croci, Ausl Romagna, Ravenna, Italy.
Bruna MaltaUnità Operativa Di Radiologia, Ospedale Santa Maria Delle Croci, Ausl Romagna, Ravenna, Italy.
Patricia WoodsKing Edward Memorial Hospital, Perth, Australia.
Qiong MengDepartment of Paediatrics, Guangdong Second Provincial General Hospital, Guangzhou, China.
Chu-Ming YouDepartment of Paediatrics, Guangdong Second Provincial General Hospital, Guangzhou, China.
Piotr KruczekDepartment of Neonatology, Czerwiakowski Hospital at Siemiradzki St., Cracow, Poland.
Martin KneyberDepartment of Paediatrics, Division of Paediatric Critical Care Medicine, Beatrix Children's Hospital, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Natalia BudaSimulation Laboratory of Endoscopic and Minimally Invasive Techniques, Medical University of Gdansk, Gdansk, Poland.
Andrea SmargiassiDipartimento Neuroscienze, UOC Pneumologia, Organi Di Senso E Torace, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Jovan LovrenskiFaculty of Medicine Novi Sad, University of Novi Sad, Novi Sad, Serbia.
Xiao-Ling RenDepartment of Neonatology and NICU, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No.251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China.
Ya-Li GuoDepartment of Neonatology and NICU, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No.251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China.
Ru-Xin QiuDepartment of Neonatology, Beijing Chao-Yang District Maternal and Child Healthcare Hospital, Beijing, China.
Abdul RazakDepartment of Paediatrics, Monash University, Melbourne, VIC, Australia.
Francesco FelettiDipartimento Di Medicina Traslazionale e per la Romagna, Università Di Ferrara, Ferrara, Italy.ORCID http://orcid.org/0000-0002-3621-3871

Funding

The project was supported by Wu Jie-Ping Medical Foundation Research Fund. 320.6750.2024-03-32
6 · The paper itself

Abstract

backgroundRespiratory distress is the main reason for the admission of infants to the neonatal intensive care unit (NICU). Rapid identification of the causes of respiratory distress and selection of appropriate and effective treatment strategies are important to optimise favourable short- and long-term patient outcomes. Lung ultrasound (LUS) technology has become increasingly important in this field. According to the scientific literature, LUS has high sensitivity (92-99%) and specificity (95-97%) in diagnosing neonatal respiratory distress syndrome. This diagnostic power helps guide timely interventions, such as surfactant therapy and mechanical ventilation.

methodsOur objective was to outline consensus guidelines among an international panel of experts on the use of LUS to support the decision-making process in managing respiratory distress in the NICU. We used a three-round Delphi process. In each Delphi round, 28 panellists rated their level of agreement with each statement using a four-point Likert scale.

resultsIn round 1, the panellists reviewed 30 initially proposed statements. In rounds 2 and 3, the statements were redeveloped based on the reviewers' comments, leading to the final approval of 18 statements. Among the 18 consensus statements, grade A was assigned a value of 10, grade B was assigned a value of 7, and grade C was assigned a value of 1.

conclusionsA panel of experts agreed on 18 statements regarding managing infants with respiratory distress. Using LUS may help design future interventional studies and improve the benchmarking of respiratory care outcomes.

Indexed as

LungRespiratory Distress Syndrome, NewbornConsensusDelphi TechniqueHumansInfant, NewbornIntensive Care Units, NeonatalRespiration, ArtificialUltrasonographyDiagnostic ImagingDyspnoeaLung ultrasoundMechanical ventilationNeonatal intensive care unitNeonatePulmonary surfactantRespiratory distress

Identifiers

PMID39988689
PMCPMC11849336

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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.