Evidence map›Paper›PMID 32646474›Full record

ArticleJournal of cardiothoracic surgery2020

Assessment of thoracic volume changes after the collapse of lateral rib fractures based on chest computed tomography data: computer simulation and a multiple variable linear regression analysis.

Xiao-Kun Chen, Yi-Jun Liu, Fu-Zheng Guo, Jiu-Xu Deng, Jian Xiong, Tian-Bing Wang, Bao-Guo Jiang

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Xiao-Kun ChenDepartment of Orthopedic Trauma, Peking University People Hospital, No. 11 Xizhimen South Road, Beijing, 100044, P. R. China.
Yi-Jun LiuDepartment of Orthopedic Trauma, Peking University People Hospital, No. 11 Xizhimen South Road, Beijing, 100044, P. R. China.
Fu-Zheng GuoNational Center for Trauma Medicine, Beijing, 100044, P. R. China.
Jiu-Xu DengNational Center for Trauma Medicine, Beijing, 100044, P. R. China.
Jian XiongDepartment of Orthopedic Trauma, Peking University People Hospital, No. 11 Xizhimen South Road, Beijing, 100044, P. R. China.
Tian-Bing WangDepartment of Orthopedic Trauma, Peking University People Hospital, No. 11 Xizhimen South Road, Beijing, 100044, P. R. China. wangtianbing@pkuph.edu.cn.
Bao-Guo JiangDepartment of Orthopedic Trauma, Peking University People Hospital, No. 11 Xizhimen South Road, Beijing, 100044, P. R. China. jiangbaoguo@vip.163.com.
Peking University People's Hospital · CNPeking University · CN

Funding

Chinese National Science and Technology Project of Olympic Winter Games 2018YFF0301103
6 · The paper itself

Abstract

backgroundChest blunt trauma (CBT) and the resultant rib fractures often lead to thoracic collapse. The purpose of this study was to explore the effect of displacement of the rib fracture and thoracic collapse on the thoracic volume by using normal chest CT data.

methodsIn this retrospective study, seven consecutive normal participants were selected from our hospital between June and July 2018. Normal thoracic models were reconstructed, followed by simulation of lateral fractures through the 4th to 9th ribs under three collapse modes with 1-5 cm of collapse. The thoracic collapse models (n = 630) were reconstructed using 3Dmax 2014. We calculated the thoracic volume and reduction percentage for each thoracic collapse model. Linear regression-based comparisons of thoracic volume reductions were performed.

resultsIn all three collapse modes, the degree of the collapse was linearly correlated with the mean thoracic volume reduction. The reduction percentage in the posterior collapse mode was higher than that in the anterior collapse mode (P < 0.001). The largest volume reductions in the anterior, posterior, and simultaneous collapse models were in the 6th rib fracture model (P < 0.001), 8th rib fracture model (P < 0.001), and 7th rib fracture model (P < 0.001), respectively.

conclusionsThe influences of rib fracture displacement and collapse on the thoracic volume in the 6th through 8th ribs are critical in lateral rib fractures. For patients with 6th to 8th rib fractures and posterior rib collapse, surgical intervention to restore thoracic volume may be more essential.

Indexed as

AdultComputer SimulationFemaleHumansLinear ModelsMaleMiddle AgedOrgan SizeRetrospective StudiesRib FracturesThoracic CavityTomography, X-Ray ComputedWounds, NonpenetratingChest collapseChest volumeComputed tomography dataComputer simulationLinear regressionRib fracturesStereo model

Identifiers

PMID32646474
PMCPMC7346514
OpenAlexW3041805201

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LicenceCC BY
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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.