Evidence map›Paper›PMID 32876407›Full record

Observational studyAnaesthesiology intensive therapy2020

A new simple score for prediction of difficult laryngoscopy: the EL.GA+ score.

Antonio Corrente, Marco Fiore, Salvatore Colandrea, Caterina Aurilio, Maria Passavanti, Vincenzo Pota, Pasquale Sansone, Giacomo Diana, Giuseppe Signoriello, Maria Pace

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Anaesthesiology intensive therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 33% 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.

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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

10 authors at 3 institutions in 1 country.

Antonio CorrenteDepartment of Women, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Marco FioreDepartment of Women, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Salvatore ColandreaDivision of Anesthesia and Intensive Care, "Santa Maria delle Grazie" Hospital, Pozzuoli, Italy.
Caterina AurilioDepartment of Women, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Maria PassavantiDepartment of Women, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Vincenzo PotaDepartment of Women, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Pasquale SansoneDepartment of Women, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Giacomo DianaDivision of Anesthesia and Intensive Care, Hospital of Marcianise, Marcianise, Italy.
Giuseppe SignorielloDepartment of Mental Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
Maria PaceDepartment of Women, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
University of Campania "Luigi Vanvitelli" · ITGetra (Italy) · ITOspedale Santa Maria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreoperative airway assessment plays a key role in the context of difficult airway management. Several scores have been proposed to predict difficult intubation including the el-Ganzouri index (EL.GA). Anatomical parameters such as the opening of the mouth or the circumference of the neck (which currently is not usually evaluated) are used to predict difficult intubation. The nutritional status of super-morbid obesity (body mass index [BMI] > 50 kg m-2) is a recognised risk factor for difficult intubation.

methodsThis is a single-centre, retrospective, observational study whose aim is to validate an additional parameter (anatomical plus nutritional) to the El.GA index, hence the choice of the acronym for the definition of the study: EL.GA+, in predictivity of airway management; multiple logistic regression analysis was performed to determine the predictive role of BMI, neck circumference and opening of the mouth of intubation difficulty measured with the gold standard.

resultsIn total, 240 patients who had an elective surgical procedure under general anaesthesia, requiring endotracheal intubation, were examined. The predictive value of the EL.GA score was confirmed by the values of sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) according to the data reported in the literature. Furthermore, based on the values of the PPV and NPV (0.69 and 0.60 respectively), neck circumference of 42.5 cm can be taken as a cut-off value for which EL.GA+ becomes predictive of difficult intubation in patients with mild obesity (BMI of 30 to 35).

conclusionsThe EL.GA+ score greatly increases the prediction of difficult laryngoscopy in mildly obese patients.

Indexed as

AdultAgedAirway ManagementAnesthesia, GeneralBody Mass IndexFemaleHumansIntubation, IntratrachealLaryngoscopyMaleMiddle AgedMouthNeckNutritional StatusObesity, MorbidPredictive Value of Testsairway managementdecision support techniquesdifficult airwaysel-Ganzouri indexintratracheal intubation

Identifiers

PMID32876407
PMCPMC10172951
OpenAlexW3080975738

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.