Evidence map›Paper›PMID 31684082›Full record

ArticleJournal of clinical medicine2019

Evaluation of Concomitant Orbital Floor Fractures in Patients with Head Trauma Using Conventional Head CT Scan: A Retrospective Study at a Level II Trauma Center.

Li-Kuo Huang, Hsi-Feng Tu, Liang-De Jiang, Ying-Yuan Chen, Chih-Yuan Fu

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 3 institutions in 1 country.

Li-Kuo HuangDepartment of Radiology, National Yang-Ming University Hospital, Yi-Lan 260, Taiwan. huangcm69@yahoo.com.tw.
Hsi-Feng TuDepartment of Dentistry, National Yang-Ming University Hospital, Yi-Lan 260, Taiwan. hsifeng@gmail.com.
Liang-De JiangDepartment of Radiology, National Yang-Ming University Hospital, Yi-Lan 260, Taiwan. glemserjiang@gmail.com.
Ying-Yuan ChenDepartment of Radiology, National Yang-Ming University Hospital, Yi-Lan 260, Taiwan. yychen354@gmail.com.
Chih-Yuan FuDepartment of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan. drfu5564@yahoo.com.tw.
National Yang Ming Chiao Tung University · TWChang Gung Memorial Hospital · TWNational Yang Ming University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with head trauma may have concomitant orbital floor fractures (OFFs). The objective of our study was to determine the specific CT findings and investigate the diagnostic performance of head CT in detecting OFFs.

methodsWe analyzed 3534 head trauma patients undergoing simultaneous head and facial CT over a 3-year period. The clinical data and specific head CT findings between patients with and without OFFs were compared.

resultsIn our cohort, 198 patients (5.6%) had OFFs visible on CT. On head CT, orbital floor discontinuity, gas bubbles entrapped between floor fragments, inferior extraconal emphysema, and maxillary hemosinus (MHS) were more commonly observed among patients with OFFs (

conclusionHead CT may serve as a first-line screening tool to detect OFFs in head trauma patients. Hence, unnecessary facial CT and additional radiation exposure may be reduced.

Indexed as

clear sinus signemergency departmentshead CThead traumamaxillary hemosinusorbital floor fractureradiation exposure

Identifiers

PMID31684082
PMCPMC6912243
OpenAlexW2986081844

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.