Evidence map›Paper›PMID 31391601›Full record

ArticleThe Canadian veterinary journal = La revue veterinaire canadienne2019

Investigating novel anatomical predictors for endotracheal tube selection in dogs.

Jesse Tong, Daniel S J Pang

Open access · greenAbstract read
In one paragraph

Article in The Canadian veterinary journal = La revue veterinaire canadienne, 2019. 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
0.6field-weighted citation impact, top 27% 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, 8 citations in OpenAlex.

  1. Predicting dog tracheal diameter and length: A tool for improved intubation.Journal of advanced veterinary and animal research · 2024
    Article
  2. 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

2 authors at 1 institution in 1 country.

Jesse TongDepartment of Veterinary Clinical & Diagnostic Sciences, Faculty of Veterinary Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, Alberta T2N 4Z6 (Tong, Pang); Department of Clinical Sciences, Faculté de Médecine Vétérinaire, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, Québec J2S 2M2 (Pang).
Daniel S J PangDepartment of Veterinary Clinical & Diagnostic Sciences, Faculty of Veterinary Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, Alberta T2N 4Z6 (Tong, Pang); Department of Clinical Sciences, Faculté de Médecine Vétérinaire, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, Québec J2S 2M2 (Pang).
University of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The selection of an appropriate endotracheal tube (ET) for orotracheal intubation in dogs is based largely on experience, with no well-established guidelines available. This study examined relationships between several novel and published methods for selecting endotracheal tubes in a heterogenous population of 79 adult dogs. The following measurements were included: left and right nare width, nasal septum width, sum of left and right nares width plus the nasal septum width, total nose width and height, tracheal width, metacarpal and digital footpad width and height, and body mass. Using the Bland and Altman ratio method, the calculation of Cube Root Mass provided the greatest accuracy and precision, predicting actual ET size use within 3 to 4 tube sizes. A simpler to calculate, but less precise method was Width of Nose/3. The majority of published methods for estimating ET size performed poorly, including nasal septum and tracheal width.

Indexed as

TracheaAnimalsDogsIntubation, IntratrachealNose

Identifiers

PMID31391601
PMCPMC6625165
OpenAlexW3012136132

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.