Evidence map›Paper›PMID 27787377›Full record

Observational studyMedicine2016

Traumatic upper cervical spinal fractures in teaching hospitals of China over 13 years: A retrospective observational study.

Hongwei Wang, Lan Ou, Yue Zhou, Changqing Li, Jun Liu, Yu Chen, Hailong Yu, Qi Wang, Yiwen Zhao, Jianda Han and 1 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Upper Cervical Spine Injuries: Profile and Management of 120 Cases.International journal of spine surgery · 2022
    Article
  3. Article
  4. 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

11 authors at 5 institutions in 2 countries.

Hongwei WangDepartment of Orthopedics, General Hospital of Shenyang Military Area Command of Chinese PLA, Shenyang, Liaoning Department of Radiology, Southwest Hospital Department of Orthopedics, Xinqiao Hospital, the Third Military Medical University, Chongqing State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, Liaoning, China.
Lan Ou
Yue Zhou
Changqing Li
Jun Liu
Yu Chen
Hailong Yu
Qi Wang
Yiwen Zhao
Jianda Han
Liangbi Xiang
General Hospital of Shenyang Military Region · CNShenyang Institute of Automation · CNArmy Medical University · CNSouthwest General Health Center · USXinqiao Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the incidence and pattern of patients managed for traumatic upper cervical spinal fractures (TUCSFs) in teaching hospitals in China over 13 years.We retrospectively reviewed 351 patients with TUCSF admitted to our teaching hospitals. Incidence rates were calculated with respect to age, gender, etiologies of trauma, anatomical distribution, anatomical classification, American spinal injury association impairment scale (ASIA) classification of neurological deficit and associated injuries.There were 260 male and 91 female patients, with a mean age of 44.2 ± 16.3 years. The mean age of the patients significantly increased by year of admission, from 35.2 ± 14.5 years to 47.5 ± 17.2 years (P = 0.005). Motor vehicle accidents (MVAs) (n = 132, 37.6%) and high falls (n = 104, 29.6%) were the 2 most common mechanisms. The number of C2 fractures (n = 300, 85.5%) was significantly higher than that of C1 (n = 99, 28.2%) (P < 0.001). High falls resulted in significantly more Type I C1 fractures than other etiologies (all P < 0.001). MVAs resulted in many more Type II and Type III C1 fractures and Type II and Type III C2 fractures than other etiologies. High falls were the most common injury type (n = 44, 36.4%) resulting in neurological deficits. Patients who presented with Landell classification Type I single C1 fracture (n = 6, 42.9%) had the highest rate of neurological deficits. Eighty-two patients had combined injuries; the most common pattern was cervical + cervical spine (n = 44, 12.5%), followed by cervical + thoracic spine (n = 27, 7.7%). A total of 121 patients (34.5%) suffered neurological deficits. Of all patients with TUCSF without combined injuries, single C2 fractures accounted for the highest rate of neurological deficits (n = 62, 32.0%). Multivariate logistic regression analysis indicated that sex (OR = 1.876, 95% CI: 1.022-3.443, P = 0.042), etiology (MVA pedestrians vs high fall: OR = 0.187, 95% CI: 0.056-0.629, P = 0.007), level (C1 + OFs vs C1: OR = 6.264, 95% CI: 1.152-34.045, P = 0.034), and injury severity scoring (ISS) (OR = 1.186, 95% CI: 1.133-1.242, P < 0.001) were independent risk factors of neurological deficit.The most common causes of TUCSF were MVAs and high falls; single C2 fractures without combined injuries accounted for the most common neurological deficits. Different etiologies resulted in different specific anatomical injuries and neurological deficits. We should make early diagnoses and initiate timely treatment according to different TUCSF patterns.

Indexed as

ForecastingAdolescentAdultAgedAged, 80 and overCervical VertebraeFemaleHospitalizationHospitals, TeachingHumansIncidenceMaleMiddle AgedRetrospective StudiesSpinal FracturesYoung Adult

Identifiers

PMID27787377
PMCPMC5089106
OpenAlexW2544250320

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.