Evidence map›Paper›PMID 35001954›Full record

ArticleIndian journal of anaesthesia2021

Length of the middle finger of hand as a simple and reliable predictor of optimal size of uncuffed endotracheal tube in paediatric patients: An observational study.

Priyam Saikia, Rohan S Thottan

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of anaesthesia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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.

Priyam SaikiaDepartment of Anaesthesiology and Critical Care, Gauhati Medical College and Hospital, Guwahati, Assam, India.
Rohan S ThottanDepartment of Anaesthesiology and Critical Care, Gauhati Medical College and Hospital, Guwahati, Assam, India.
Gauhati Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsA recent study suggested middle finger length-based formula as a better predictive guide compared with age-based formula for selecting uncuffed endotracheal tubes (ETTs) in children. But that study did not meet sample size requirement. Thus, we primarily aimed to determine the accuracy of formula using length of the middle finger to determine the internal diameter of the uncuffed ETT and to compare its accuracy with the Cole's formula. As a secondary objective, we desired to compare its accuracy with some commonly used length and weight-based formulae.

methodsThis prospective observational study included children aged up to 12 years posted for elective surgery under general anaesthesia. The length of the middle finger on the palmar aspect of the hand was measured in the preoperative period and the characteristics of the airway used were noted. A predefined criterion of optimal size of the uncuffed ETT was used.

resultsA total of 139 patients were included in the final analysis. It was observed that the formula based on middle finger length can predict the optimal size of uncuffed ETT within an error of 0.5 mm in more than 90% instances and its predictive performance is better than Cole's formula. As a secondary outcome, we also observed that its accuracy is better than other formulae under evaluation.

conclusionFormula based on middle finger length can be used as a predictor of optimal size of uncuffed ETT in paediatric patients and it is a better predictor than Cole's formula.

Indexed as

Anaesthesiachildfingersgeneralintratrachealintubationpredictive value of tests

Identifiers

PMID35001954
PMCPMC8680412
OpenAlexW3215334178

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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.