Evidence map›Paper›PMID 33815844›Full record

ArticleNeurology research international2021

Prediction Score for Cervical Spine Fracture in Patients with Traumatic Neck Injury.

Natsinee Athinartrattanapong, Chaiyaporn Yuksen, Sittichok Leela-Amornsin, Chetsadakon Jenpanitpong, Sirote Wongwaisayawan, Pittavat Leelapattana

Open access · goldAbstract read
In one paragraph

Article in Neurology research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. The Birmingham Mandible and Mid-face (BruMM) rules: interim data analysis.Annals of the Royal College of Surgeons of England · 2026
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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

6 authors at 1 institution in 1 country.

Natsinee AthinartrattanapongDepartment of Emergency Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-1493-7246
Chaiyaporn YuksenDepartment of Emergency Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-4890-7176
Sittichok Leela-AmornsinDepartment of Emergency Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-8984-7915
Chetsadakon JenpanitpongDepartment of Emergency Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-2906-7677
Sirote WongwaisayawanDepartment of Radiology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-3867-7426
Pittavat LeelapattanaDepartment of Orthopedics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Mahidol University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical spine fracture is approximately 2%-5%. Diagnostic imaging in developing countries has several limitations. A computed tomography scan is not available 24 hours and not cost-effective. This study aims to develop a clinical tool to identify patients who must undergo a computed tomography scan to evaluate cervical spine fracture in a noncomputed tomography scan available hospital.

methodsThe study was a diagnostic prediction rule. A retrospective cross-sectional study was conducted between August 1, 2016, and December 31, 2018, at the emergency department. This study included all patients aged over 16 years who had suspected cervical spine injury and underwent a computed tomography scan at the emergency department. The predictive model and prediction scores were developed via multivariable logistic regression analysis.

results375 patients met the criteria. 29 (7.73%) presented with cervical spine fracture on computed tomography scan and 346 did not. Five independent factors (i.e., high-risk mechanism of injury, paraparesis, paresthesia, limited range of motion of the neck, and associated chest or facial injury) were considered good predictors of C-spine fracture. The clinical prediction score for C-spine fracture was developed by dividing the patients into three probability groups (low, 0; moderate, 1-5; and high, 6-11), and the accuracy was 82.52%. In patients with a score of 1-5, the positive likelihood ratio for C-spine fracture was 1.46. Meanwhile, those with a score of 6-11 had an LR+ of 7.16.

conclusionIn a noncomputed tomography scan available hospital, traumatic spine injuries patients with a clinical prediction score ≥1 were associated with cervical spine fracture and should undergo computed tomography scan to evaluate C-spine fracture.

Identifiers

PMID33815844
PMCPMC7994086
OpenAlexW3137302724

What OpenQuestion holds

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LicenceCC BY
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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.