Evidence map›Paper›PMID 36387314›Full record

ArticleCraniomaxillofacial trauma & reconstruction2022

Can an App-Based Maxillofacial Trauma Score Predict the Operative Time, ICU Need and Length of Stay?

Ashutosh Kumar Singh, Safal Dhungel, Zeeshan Ahmad, Simon Holmes

Abstract read
In one paragraph

Article in Craniomaxillofacial trauma & reconstruction, 2022. 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
–field-weighted citation impact
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.

  1. Review
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

4 authors.

Ashutosh Kumar SinghDepartment of Oral and Maxillofacial Surgery, TU Dental Teaching Hospital, MMC, IOM, Kathmandu, Nepal.ORCID https://orcid.org/0000-0002-1200-1604
Safal DhungelDepartment of Oral and Maxillofacial Surgery, College of Medical Sciences Teaching Hospital, Bharatpur, Nepal.ORCID https://orcid.org/0000-0001-6177-5676
Zeeshan AhmadQueen Elizabeth University Hospital, Glasgow, UK.
Simon HolmesDepartment of OMFS, The Royal London Hospital, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study Design: Retrospective chart review. Objective: Injury and trauma scores are the mainstay of predicting outcomes of trauma patients. ZS (Zeeshan and Simon) maxillofacial trauma score is based on 4 previous facial trauma scores and is user friendly, app-based visually coded facial trauma scoring system. Our study was designed to seek the application of an app-based ZS maxillofacial trauma score to predict the operative time, intensive care unit (ICU) need and length of stay. Methods: We performed a retrospective chart review of patients who presented to a university medical college teaching hospital with maxillofacial fractures from October 2018 until October 2019. ZS maxillofacial trauma scoring app was used to calculate the ZS maxillofacial trauma severity score, which was our primary predictor variable. Our primary outcome of interest was operative time. Our secondary outcome of interest was ICU need and length of stay. Correlation analysis, linear regression and logistic regression were performed for statistical analysis. A statistical Results: There were 95 male and 5 female patients included in the study. The age ranged from 3 to 84 years with a mean of 30.76 (SD = 14.04). A statistically significant correlation between the ZS score and operative time (

Indexed as

maxillofacial traumaperioperative outcomestrauma severity scoreZS maxillofacial trauma score

Identifiers

PMID36387314
PMCPMC9647374

What OpenQuestion holds

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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.