Evidence map›Paper›PMID 27866310›Full record

ArticleJournal of clinical monitoring and computing2017

Prediction of difficult laryngoscopy using spirometry: a pilot study.

Serkan Dogru, Tugba Karaman, Aynur Sahin, Hakan Tapar, Serkan Karaman, Semih Arici, Mustafa Suren, Ziya Kaya, Battal Tahsin Somuk

Abstract read
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In one paragraph

Article in Journal of clinical monitoring and computing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Can spirometry be a new tool to predict the difficult airway?Journal of clinical monitoring and computing · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Serkan DogruDepartment of Anesthesiology and Reanimation, Medical Faculty, Gaziosmanpasa University, Tokat, Turkey. rightanesthetics@gmail.com.ORCID http://orcid.org/0000-0003-1471-0559
Tugba KaramanDepartment of Anesthesiology and Reanimation, Medical Faculty, Gaziosmanpasa University, Tokat, Turkey.
Aynur SahinDepartment of Anesthesiology and Reanimation, Medical Faculty, Gaziosmanpasa University, Tokat, Turkey.
Hakan TaparDepartment of Anesthesiology and Reanimation, Medical Faculty, Gaziosmanpasa University, Tokat, Turkey.
Serkan KaramanDepartment of Anesthesiology and Reanimation, Medical Faculty, Gaziosmanpasa University, Tokat, Turkey.
Semih AriciDepartment of Anesthesiology and Reanimation, Medical Faculty, Gaziosmanpasa University, Tokat, Turkey.
Mustafa SurenDepartment of Anesthesiology and Reanimation, Medical Faculty, Gaziosmanpasa University, Tokat, Turkey.
Ziya KayaDepartment of Anesthesiology and Reanimation, Medical Faculty, Gaziosmanpasa University, Tokat, Turkey.
Battal Tahsin SomukDepartment of Otorhinolaryngology, Medical Faculty, Gaziosmanpasa University, Tokat, Turkey.
Tokat Gaziosmanpaşa Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prediction of difficult laryngoscopy is still the uncovered secret of anesthetic practice. This pilot study is aimed to assess the efficacy of spirometry measurements in predicting difficult laryngoscopy compared with conventional airway assessment techniques. We enrolled 202 adults, ages 18-40 years, with an American Society of Anaesthesiologists score of I or II, scheduled for elective surgery and undergoing general anesthesia. Spirometry was used for lung capacity measurements before the operation. The Mallampati classification, neck circumference, sternomental distance, thyromental distance, maximum mouth-opening measurement, and upper lip bite test of the subjects were measured. During intubation, the Cormack-Lehane grade was recorded. Spearman's correlation analysis was used to define the linearity between spirometry outputs and airway measurements. Receiver operating curves were drawn to discriminate the predictive features of the significant values. The thyromental distance showed a higher correlation with forced inspiratory vital capacity (ρ = 0.420, P < 0.001). In a multivariate linear regression model, all spirometry measurements revealed that forced inspiratory vital capacity (β = -2.050, P = 0.022) was the significant predictor for difficult laryngoscopy. The area under the curve for forced inspiratory vital capacity with a cut-off value of 3.1950 L while using thyromental distance as difficult laryngoscopy indicator is 0.754 and forced inspiratory vital capacity showed a sensitivity of 0.718 and specificity of 0.714 with a positive likelihood ratio of 2.5104 and negative likelihood ratio of 0.3949. Forced inspiratory vital capacity showed a close association with the prediction of difficult laryngoscopy.

Indexed as

AdolescentAdultAnesthesia, GeneralAnesthesiologyArea Under CurveElective Surgical ProceduresFemaleHumansIntraoperative ComplicationsIntubation, IntratrachealLaryngoscopyLikelihood FunctionsMalePilot ProjectsProspective StudiesSpirometryAirway-anatomyAirway controlAirway managementIntubationPulmonarySpirometry

Identifiers

PMID27866310
OpenAlexW2553686350

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.