Evidence map›Paper›PMID 37197487›Full record

ArticleJournal of thoracic disease2023

Development and validation of a pulmonary complications prediction model based on the Yang's index.

Lei Wang, Yonghong Zhao, Weiming Wu, Weiwei He, Yi Yang, Dongbin Wang, Enwu Xu, Hai Huang, Dongshen Zhang, Longyu Jin and 10 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Classification methods of pulmonary contusion based on chest CT and the association with in-hospital outcomes: a systematic review of literature.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Pooled it
  2. Article
  3. Article
  4. Review
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

20 authors at 12 institutions in 5 countries.

Lei Wang *Department of Thoracic Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China.
Yonghong ZhaoDepartment of Thoracic Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China.
Weiming WuDepartment of Thoracic Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China.
Weiwei HeDepartment of Thoracic Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China.
Yi YangDepartment of Thoracic Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China.
Dongbin Wang *Department of Cardiothoracic Surgery, Tianjin Hospital, Tianjin University, Tianjin, China.
Enwu Xu *Department of Thoracic Surgery, General Hospital of Southern Theater Command of PLA, Guangzhou, China.
Hai HuangDepartment of Thoracic Surgery, Fuzhou Second Hospital, Fuzhou, China.
Dongshen ZhangDepartment of Cardiothoracic Surgery, Shijiazhuang Third Hospital, Shijiazhuang, China.
Longyu JinDepartment of Thoracic Surgery, the Third Xiangya Hospital, Central South University, Changsha, China.
Baoli JingDepartment of Thoracic Surgery, Hong Hui Hospital, Xi'an Jiaotong University, Xi'an, China.
Mingsong WangDepartment of Thoracic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhichao JinDepartment of Health Statistics, Naval Medical University, Shanghai, China.
Jean H T DaemenDivision of General Thoracic Surgery, Department of Surgery, Zuyderland Medical Centre, Heerlen, The Netherlands.
Erik R de LoosDivision of General Thoracic Surgery, Department of Surgery, Zuyderland Medical Centre, Heerlen, The Netherlands.
Patrick GreiffensteinDivision of Trauma, Department of Surgery, Louisiana State University Health Science Center, New Orleans, LA, USA.
Pietro BertoglioDepartment of Thoracic Surgery, IRCCS Azienda Ospedaliero Universitaria di Bologna, Bologna, Italy.
Tamas F MolnarDepartment of Operational Medicine, Faculty of Medicine, University of Pécs, Pécs, Hungary.
Fredric M PieracciDepartment of Surgery, Denver Health and Hospital Authority, Denver, Denver, CO, USA.
China Chest Injury Research Society
Shanghai Sixth People's Hospital · CNShanghai Jiao Tong University · CNTianjin Hospital · CNFirst Hospital of Shijiazhuang · CNFuzhou Second Hospital · CNGeneral Hospital of Guangzhou Military Command · CNSecond Military Medical University · CNShanghai Ninth People's Hospital · CNThird Xiangya Hospital · CNUniversity of Pecs · HUXi'an Jiaotong University · CNZuyderland Medisch Centrum · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Blunt chest trauma patients with pulmonary contusion are susceptible to pulmonary complications, and severe cases may develop respiratory failure. Some studies have suggested the extent of pulmonary contusion to be the main predictor of pulmonary complications. However, no simple and effective method to assess the severity of pulmonary contusion has been available yet. A reliable prognostic prediction model would facilitate the identification of high-risk patients, so that early intervention can be given to reduce pulmonary complications; however, no suitable model based on such an assumption has been available yet. Methods: In this study, a new method for assessing lung contusion by the product of the three dimensions of the lung window on the computed tomography (CT) image was proposed. We conducted a retrospective study on patients with both thoracic trauma and pulmonary contusion admitted to 8 trauma centers in China from January 2014 to June 2020. Using patients from 2 centers with a large number of patients as the training set and patients from the other 6 centers as the validation set, a prediction model for pulmonary complications was established with Yang's index and rib fractures, etc., being the predictors. The pulmonary complications included pulmonary infection and respiratory failure. Results: This study included 515 patients, among whom 188 developed pulmonary complications, including 92 with respiratory failure. Risk factors contributing to pulmonary complications were identified, and a scoring system and prediction model were constructed. Using the training set, models for adverse outcomes and severe adverse outcomes were developed, and area under the curve (AUC) of 0.852 and 0.788 were achieved in the validation set. In the model performance for predicting pulmonary complications, the positive predictive value of the model is 0.938, the sensitivity of the model is 0.563 and the specificity of the model is 0.958. Conclusions: The generated indicator, called Yang's index, was proven to be an easy-to-use method for the evaluation of pulmonary contusion severity. The prediction model based on Yang's index could facilitate early identification of patients at risk of pulmonary complications, yet the effectiveness of the model remains to be validated and its performance remains to be improved in further studies with larger sample sizes.

Indexed as

blunt chest traumaprediction modelprognosisPulmonary contusion

Identifiers

PMID37197487
PMCPMC10183517
OpenAlexW4367295897

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.