Evidence map›Paper›PMID 35207247›Full record

ArticleJournal of clinical medicine2022

Chinese Admission Warning Strategy for Predicting the Hospital Discharge Outcome in Patients with Traumatic Brain Injury.

Ruizhe Zheng, Zhongwei Zhuang, Changyi Zhao, Zhijie Zhao, Xitao Yang, Yue Zhou, Shuming Pan, Kui Chen, Keqin Li, Qiong Huang and 2 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
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

29 citing papers in PubMed.

  1. Integrative single-cell analysis revealsFrontiers in immunology · 2026
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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

12 authors.

Ruizhe ZhengHospital Development Center, Shanghai 200041, China.ORCID 0000-0002-6421-7685
Zhongwei ZhuangDepartment of Neurosurgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Changyi ZhaoDepartment of Neurosurgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, China.
Zhijie ZhaoDepartment of Neurosurgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, China.
Xitao YangDepartment of Interventional Therapy, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 201999, China.
Yue ZhouDepartment of Automation, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Shuming PanDepartment of Emergency, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
Kui ChenDepartment of Neurosurgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Keqin LiDepartment of Neurosurgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Qiong HuangDepartment of Neurology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, China.
Yang WangDepartment of Emergency, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
Yanbin MaHospital Development Center, Shanghai 200041, China.

Funding

Biomedical and Engineering cross youth fund of Shanghai Jiao Tong University YG2021QN43China Postdoctoral Science Foundation 2017M611585National Natural Science Foundation of China 81871458 and 82102307
6 · The paper itself

Abstract

objectiveTo develop and validate an admission warning strategy that incorporates the general emergency department indicators for predicting the hospital discharge outcome of patients with traumatic brain injury (TBI) in China.

methodsThis admission warning strategy was developed in a primary cohort that consisted of 605 patients with TBI who were admitted within 6 h of injury. The least absolute shrinkage and selection operator and multivariable logistic regression analysis were used to develop the early warning strategy of selected indicators. Two sub-cohorts consisting of 180 and 107 patients with TBI were used for the external validation.

resultsIndicators of the strategy included three categories: baseline characteristics, imaging and laboratory indicators. This strategy displayed good calibration and good discrimination. A high C-index was reached in the internal validation. The multicenter external validation cohort still showed good discrimination C-indices. Decision curve analysis (DCA) showed the actual needs of this strategy when the possibility threshold was 0.01 for the primary cohort, and at thresholds of 0.02-0.83 and 0.01-0.88 for the two sub-cohorts, respectively. In addition, this strategy exhibited a significant prognostic capacity compared to the traditional single predictors, and this optimization was also observed in two external validation cohorts.

conclusionsWe developed and validated an admission warning strategy that can be quickly deployed in the emergency department. This strategy can be used as an ideal tool for predicting hospital discharge outcomes and providing objective evidence for early informed consent of the hospital discharge outcome to the family members of TBI patients.

Indexed as

admissionemergencyhospital discharge outcometraumatic brain injurywarning strategy

Identifiers

PMID35207247
PMCPMC8880692

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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.