Evidence map›Paper›PMID 35498779›Full record

ReviewFrontiers in pediatrics2022

Lung Ultrasound for the Diagnosis and Management of Neonatal Respiratory Distress Syndrome: A Minireview.

Bin-Bin Guo, Lin Pang, Bo Yang, Cong Zhang, Xiao-Ya Chen, Jia-Bao OuYang, Chang-Jun Wu

Registry-linked trialAbstract readReview
In one paragraph

Review in Frontiers in pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06880016 (Evaluation of Serial Lung Ultrasound Data After Surfactant Treatments Applied With Different Methods in Preterm Babies), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

NCT06880016 narecruitingnot on this mapstarted 2024, after this paper: background citation

Evaluation of Serial Lung Ultrasound Data After Surfactant Treatments Applied With Different Methods in Preterm Babies

TypeinterventionalSponsorKonya City HospitalRan2024 to 2027Enrolled68ConditionsNewborn Complication, Respiratory Distress Syndrome, NewbornArmsEvaluation of serial lung ultrasound data after ENSURE surfactant treatments, Evaluation of serial lung ultrasound data after LISA surfactant treatments
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
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

7 authors.

Bin-Bin GuoDepartment of Ultrasound, First Affiliated Hospital of Harbin Medical University, Harbin, China.
Lin PangDepartment of Ultrasound, Harbin Finance University, Harbin, China.
Bo YangDepartment of Ultrasound, Taian Maternal and Child Health Hospital of Shandong Province, Taian, China.
Cong ZhangDepartment of Ultrasound, First Affiliated Hospital of Harbin Medical University, Harbin, China.
Xiao-Ya ChenDepartment of Ultrasound, First Affiliated Hospital of Harbin Medical University, Harbin, China.
Jia-Bao OuYangDepartment of Ultrasound, First Affiliated Hospital of Harbin Medical University, Harbin, China.
Chang-Jun WuDepartment of Ultrasound, First Affiliated Hospital of Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung ultrasound (LUS) is useful for diagnosis of respiratory distress syndrome in neonates. Recently, it has been proved to play an important role in the management of neonatal respiratory distress syndrome (RDS). It is feasible to grade RDS and select therapeutic modalities accordingly by LUS. The treatment also should be adjusted with the change in ultrasound images. In conclusion, LUS is valuable for the diagnosis and management of neonatal respiratory distress syndrome.

Indexed as

diagnosislung ultrasoundmanagementneonatesrespiratory distress syndrome

Identifiers

PMID35498779
PMCPMC9047941

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.