Evidence map›Paper›PMID 40165122›Full record

ArticleBMC pediatrics2025

Evaluating tidal volume stability in extremely preterm infants on high-frequency oscillatory ventilation with volume guarantee.

Saleh S Algarni, Omar M Almutairi, Mohammed Sufyani, Saad Alshreedah, Naif Alotaibi, Sami S Alanazi, Abeer H Alharthi, Ibrahim Alanazi, Abadi Ghazwani, Ibrahim Ali and 3 more

Abstract read
In one paragraph

Article in BMC pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. 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

13 authors.

Saleh S AlgarniDepartment of Respiratory Therapy, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Omar M AlmutairiNeonatal Intensive Care Department, (Neonatal Medicine), King Abdulaziz Medical City-Riyadh, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia.
Mohammed SufyaniNeonatal Intensive Care Department, (Neonatal Medicine), King Abdulaziz Medical City-Riyadh, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia.
Saad AlshreedahNeonatal Intensive Care Department, (Neonatal Medicine), King Abdulaziz Medical City-Riyadh, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia.
Naif AlotaibiNeonatal Intensive Care Department, (Neonatal Medicine), King Abdulaziz Medical City-Riyadh, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia.
Sami S AlanaziNeonatal Intensive Care Department, (Neonatal Medicine), King Abdulaziz Medical City-Riyadh, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia.
Abeer H AlharthiNeonatal Intensive Care Department, (Neonatal Medicine), King Abdulaziz Medical City-Riyadh, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia.
Ibrahim AlanaziNeonatal Intensive Care Department, (Neonatal Medicine), King Abdulaziz Medical City-Riyadh, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia.
Abadi GhazwaniNeonatal Intensive Care Department, (Neonatal Medicine), King Abdulaziz Medical City-Riyadh, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia.
Ibrahim AliNeonatal Intensive Care Department, (Neonatal Medicine), King Abdulaziz Medical City-Riyadh, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia.
Abdulaziz HomediNeonatal Intensive Care Department, (Neonatal Medicine), King Abdulaziz Medical City-Riyadh, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia.
Saif AlsaifNeonatal Intensive Care Department, (Neonatal Medicine), King Abdulaziz Medical City-Riyadh, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia.
Kamal AliNeonatal Intensive Care Department, (Neonatal Medicine), King Abdulaziz Medical City-Riyadh, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia. alika@ngha.med.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh Frequency Oscillatory Ventilation (HFOV) combined with volume guarantee (HFOV-VG) represents an innovative ventilation mode designed for managing respiratory failure in neonates. This study aimed to assess the stability of High Frequency tidal volume (VThf) in extremely preterm infants ventilated on HFOV with VG during the first 48 h of life. Additional objectives included examining the correlations between VThf, Diffusion Coefficient of Carbon Dioxide (DCO

methodsThis retrospective, single-center study included 22 extremely preterm infants treated with HFOV-VG as the primary mode of ventilation at King Abdulaziz Medical City. Data were collected directly from the ventilator every minute for the first 48 h of life. Blood gases were analyzed every 4-6 h to maintain normocapnia (PCO

resultsTwenty-two infants had a median gestational age of 26.5 weeks (IQR 24-28) and a median birth weight of 830 g (IQR 600-1300). The median set VThf per kilogram was 2.2 mL/kg [IQR 2,2.6], which was consistent with the measured VThf. Significant correlations were observed between weight-corrected DCO

conclusionsHFOV-VG effectively stabilized VThf in extremely preterm infants with fluctuations in amplitude, providing consistent ventilation support during the early critical period. The weight-corrected DCO

Indexed as

High-Frequency VentilationInfant, Extremely PrematureRespiratory Distress Syndrome, NewbornTidal VolumeBlood Gas AnalysisCarbon DioxideFemaleHumansInfant, NewbornMaleRetrospective StudiesCarbon DioxideCarbon dioxideHFOVPreterm infantsTidal volumeVolume guarantee

Identifiers

PMID40165122
PMCPMC11956264

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LicenceCC BY-NC-ND
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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.