Evidence map›Paper›PMID 37996828›Full record

Trial reportBMC anesthesiology2023

Evaluation the quality of bag-mask ventilation by E/C, T/E and hook technique (a new proposed technique).

Moloud Balafar, Mahboub Pouraghaei, Seyed Pouya Paknezhad, Saba Nemati Ahmad Abad, Hassan Soleimanpour

Erratum issued Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC anesthesiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06817083 (Efficacy of Hook Technique Versus Traditional Methods for Single Hand Ventilation in Obese Patients A Randomized Controlled Trial), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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.

NCT06817083 nacompletednot on this mapstarted 2025, after this paper: background citation

Efficacy of Hook Technique Versus Traditional Methods for Single Hand Ventilation in Obese Patients A Randomized Controlled Trial

TypeinterventionalSponsorAswan UniversityRan2025 to 2026Enrolled375ConditionsMask Ventilation, Obese Patients (BMI ≥ 30 kg/m²), Obesity & Overweight, Bag-mask VentilationArmsE-C Clamp Technique, T-E Technique, The Hook Technique
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Moloud BalafarEmergency and trauma care research center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mahboub PouraghaeiEmergency and trauma care research center, Tabriz University of Medical Sciences, Tabriz, Iran.
Seyed Pouya PaknezhadEmergency and trauma care research center, Tabriz University of Medical Sciences, Tabriz, Iran.
Saba Nemati Ahmad AbadStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
Hassan SoleimanpourRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. h.soleimanpour@gmail.com.
Tabriz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBag-Mask Ventilation (BMV) is a crucial skill in managing emergency airway situations and induction of general anesthesia. Ensuring proficient BMV execution is imperative for healthcare providers. Various techniques exist for performing BMV. This study aims to compare the quality of ventilation achieved using the E/C technique, Thenar Eminence (T/E) technique and a novel approach referred to as the hook technique. The goal is to identify the most effective single-person BMV method.

methodWe conduct a pilot study on manikins involving 63 medical staff members who used the hook technique for ventilation. Subsequently, we obtained ethical approval and patient guardian consent to perform the study on 492 emergency department (ED) patients. These patients were randomly divided into three groups, with each group subjected to one three ventilation techniques. The study focused on patients requiring reliable airway management for rapid sequence intubation (RSI). Ventilation was administrated using bag-mask device connected to the capnograph. End-tidal CO2 (ETCO2) levels were recorded. Demographic data were collected and analyzed by SPSS software version 22. Success rates were reported as frequency (percentage) as well as mean ± standard deviation.

resultComparing partial pressure of CO2 (PCO2) results obtained via capnography between T/E, E/C and hook techniques, we found that the successful ventilation rate was 87.2% for T/E, 89.6% for E/C, and 93.3% for the hook methods. The hook method demonstrated significantly higher success rate compared to the other two techniques (P-value = 0.038). Furthermore, we observed statistically significant trends in PCO2 changes between measurements both within and between groups (P-value < 0/001).

conclusionOur study indicates that the hook method achieved notably higher success rate in ventilation compared to the T/E and E/C methods. This suggests that the hook method, which involves a chin lift maneuver while securely fitting the mask, could serve as a novel BMV technique, particularly for resuscitation with small hands for a prolonged use without fatigue and finger discomfort. Our finding contributes to the development of a new BMV method referred to as the hook technique.

trial registrationIRCT registration number: IRCT20121010011067N5. URL of trial registry record: https://www.irct.ir/trial/57420 .

Indexed as

Laryngeal MasksAirway ManagementCarbon DioxideHumansIntubation, IntratrachealPilot ProjectsResuscitationCarbon DioxideAirway managementBag -mask ventilationE/C methodHook methodThenar eminence technique

Identifiers

PMID37996828
PMCPMC10666307
OpenAlexW4388945288

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.