Evidence map›Paper›PMID 37860024›Full record

ArticleJournal of craniovertebral junction & spine

Analysis of radiological measurement parameters that can predict the type of treatment to be applied in odontoid fractures: Clinical research.

Mustafa Ogden, Ahmet Melih Erdogan, Mustafa Ilker Karagedik, Selcuk Baser, Ibrahim Umud Bulut, Ozge Sevimoglu, Ulas Yuksel, Bulent Bakar

Open access · diamondAbstract read
In one paragraph

Article in Journal of craniovertebral junction & spine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 73% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 1 institution in 2 countries.

Mustafa OgdenDepartment of Neurosurgery, Kirikkale University Faculty of Medicine, Kirikkale, Turkey.
Ahmet Melih ErdoganDepartment of Neurosurgery, Kirikkale University Faculty of Medicine, Kirikkale, Turkey.
Mustafa Ilker KaragedikDepartment of Neurosurgery, Kirikkale University Faculty of Medicine, Kirikkale, Turkey.
Selcuk BaserDepartment of Radiology, Kirikkale University Faculty of Medicine, Kirikkale, Turkey.
Ibrahim Umud BulutDepartment of Neurosurgery, Kirikkale University Faculty of Medicine, Kirikkale, Turkey.
Ozge SevimogluDepartment of Neurosurgery, Kirikkale University Faculty of Medicine, Kirikkale, Turkey.
Ulas YukselDepartment of Neurosurgery, Kirikkale University Faculty of Medicine, Kirikkale, Turkey.
Bulent BakarDepartment of Neurosurgery, Kirikkale University Faculty of Medicine, Kirikkale, Turkey.
Creative Commons · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Although various conservative and surgical treatment methods have been proposed, treatment options for patients with odontoid fractures remain controversial. This study was conducted to determine some demographic and radiological measurement parameters that can predict treatment options in patients with odontoid fractures. Materials and Methods: The patients were separated into the surgery (-) group ( Results: The amount of displacement of the fractured odontoid, the distance between the C1 vertebra and the odontoid process, the angle between the posterior wall of the odontoid process and the posterior wall of the clivus, the slip angle, and the anterior to posterior width of the spinal canal were not different between the groups. No difference was determined between the groups in respect of the amount of lateral displacement of the odontoid process in the spinal canal in the axial plane and the angle of the fractured odontoid process with the C2 vertebral body. Conclusion: This preliminary study showed that the demographic data and radiological measurement parameters analyzed in the present study could not be used as predictive markers either in decision-making for treatment modality or mortality risk.

Indexed as

Morphologyodontoid fracturepredictivetreatment

Identifiers

PMID37860024
PMCPMC10583795
OpenAlexW4386834083

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.