Evidence map›Paper›PMID 37256351›Full record

ArticleEuropean radiology2023

Effectiveness of ultrasonic measurement for the hyomental distance and distance from skin to epiglottis in predicting difficult laryngoscopy in children.

Zhenwei Zheng, Xia Wang, Ruiming Du, Qingda Wu, Lu Chen, Wuhua Ma

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07444528 (Upper Airway Ultrasound to Predict Difficult Airway Management in Neonates and Infants), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 9% 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.

NCT07444528 enrolling by invitationnot on this mapstarted 2026, after this paper: background citation

Upper Airway Ultrasound to Predict Difficult Airway Management in Neonates and Infants: A Prospective Observational Study

TypeobservationalSponsorChildren's Hospital of PhiladelphiaRan2026 to 2027Enrolled180ConditionsNeonates, Infants Aged 0 Days to 12 Months Scheduled for Elective SurgeryArmsUpper airway ultrasound
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Airway and Endotracheal Tubes: Role of POCUS.Indian journal of pediatrics · 2026
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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

6 authors at 3 institutions in 1 country.

Zhenwei ZhengDepartment of Anesthesiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
Xia WangDepartment of Anesthesiology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Ruiming DuDepartment of Anesthesiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
Qingda WuDepartment of Anesthesiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
Lu ChenDepartment of Anesthesiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
Wuhua MaDepartment of Anesthesiology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China. gzmwh@aliyun.com.
First Affiliated Hospital of Guangzhou University of Chinese Medicine · CNSecond Affiliated Hospital of Shantou University Medical College · CNShantou University · CN

Funding

Guangdong Medical Research Foundation B2020050National Natural Science Foundation of China 82074357
6 · The paper itself

Abstract

objectivesStudies have shown that some ultrasonic indicators can predict difficult airways in adults to an extent. However, whether ultrasonic parameters can be used to predict difficult airways in children is unclear. This study investigated the predictive value of several ultrasonic indices for difficult laryngoscopy (DL) in children.

methodsPediatric patients aged 5 to 12 years who underwent endotracheal intubation under general anesthesia were enrolled. The hyomental distance in the extended position (HMDE), tongue thickness, midsagittal tongue cross-sectional area, tongue width, and distance from skin to epiglottis (DSE) were measured by ultrasound before anesthesia. The study end point was DL. The receiver operating characteristic curve was used to evaluate the predictive value of each parameter.

resultsThree hundred and ten children were included in the final analysis, and fifteen (4.8%) children had DL. The shortened HMDE assessed by ultrasound could help identify children aged 5 to 12 years with DL (5-8 years: area under the curve (AUC) 0.74, sensitivity 0.88, specificity 0.60; 9-12 years: AUC 0.72, sensitivity 0.71, specificity 0.83). An increased DSE could help identify children aged 5 to 8 years with DL (AUC 0.76, sensitivity 0.88, specificity 0.69).

conclusionsUltrasonic measurement of the HMDE can be used to predict DL in children aged 5 to 12 years. The DSE measured by ultrasound can be used to predict DL in children aged 5 to 8 years. CLINICAL RELEVANCE STATEMENT: The hyomental distance and the distance from skin to epiglottis measured by ultrasound can be used to predict difficult laryngoscopy in children, which can help reduce serious complications caused by unanticipated difficult airways in children during anesthesia. KEY POINTS: • Ultrasonic measurement of the hyomental distance in the extended position may be an effective predictor of difficult laryngoscopy in children aged 5 to 12 years. • The distance from skin to epiglottis measured by ultrasound can be used to predict difficult laryngoscopy in children aged 5 to 8 years. • Preoperative airway assessment using ultrasound can be effectively applied in children and has a great application prospect.

Indexed as

EpiglottisLaryngoscopyAdultChildHumansProspective StudiesTongueUltrasonicsAirway managementChildEpiglottisLaryngoscopyUltrasonic

Identifiers

PMID37256351
PMCPMC10598084
OpenAlexW4378782745

What OpenQuestion holds

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LicenceCC BY
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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.