Evidence map›Paper›PMID 37985473›Full record

ArticleNeurosurgical review2023

Construction and validation of a predictive model of pneumonia for ICU patients with traumatic brain injury (TBI).

Xin Geng, Hao Wu, Chenan Liu, Linrui Qi, Augustine K Ballah, Wenqiang Che, Shuaishuai Wu, Tengyue Fu, Ning Li, Xiaocong Wei and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Neurosurgical review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

15 authors at 5 institutions in 1 country.

Xin Geng *Department of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
Hao Wu *Department of Neurosurgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China.
Chenan LiuDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
Linrui QiDepartment of Neurology, the First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
Augustine K BallahDepartment of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
Wenqiang CheDepartment of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
Shuaishuai WuDepartment of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
Tengyue FuDepartment of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
Ning LiDepartment of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
Xiaocong WeiDepartment of Neurosurgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China.
Rui ChengDepartment of Neurosurgery, Shanxi Provincial People's Hospital, Taiyuan, 030012, China.
Zhigang PangDepartment of Pneumology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China.
Hongming JiDepartment of Neurosurgery, Shanxi Provincial People's Hospital, Taiyuan, 030012, China.
Yonghong WangDepartment of Neurosurgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China. wyh200533@126.com.
Xiangyu WangDepartment of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou, 510630, China. wang_xy123@126.com.
First Affiliated Hospital of Jinan University · CNShanxi Medical University · CNShaanxi Provincial People's Hospital · CNBeijing Shijitan Hospital · CNShanxi Academy of Medical Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of pneumonia in ICU patients with TBI is very high, seriously affecting the prognosis. This study aims to construct a predictive model for pneumonia in ICU patients with TBI and provide help for the prevention of TBI-related pneumonia.Clinical data of ICU patients with TBI were collected from the Medical Information Mart for Intensive Care (MIMIC)-IV database and hospital data. Variables were screened by lasso and multivariate logistic regression to construct a predictive nomogram model, verified in internal validation cohort and external validation cohort by receiver operator characteristic (ROC) curve, calibration curve and decision curve analysis (DCA).A total of 1850 ICU patients with TBI were enrolled in the study from the MIMIC-IV database, including 1298 in the training cohort and 552 in internal validation cohort. The external validation cohort included 240 ICU patients with TBI from hospital data. Nine variables were selected from the training cohort by lasso regression and multivariate logistic regression, and a pneumonia prediction nomogram was constructed. This nomogram has a high discrimination in training, internal validation and external validation cohorts (AUC = 0.857, 0.877, 0.836). The calibration curve and DCA showed that this nomogram had a high calibration and better clinical decision-making efficiency.The nomogram showed excellent discrimination and clinical utility to predict pneumonia, and could identify pneumonia high-risk patients early, thus providing personalised treatment strategies for ICU patients with TBI.

Indexed as

Brain Injuries, TraumaticPneumoniaClinical Decision-MakingHumansIntensive Care UnitsNomogramsEpidemiological modelsPneumoniaTraumatic brain injury

Identifiers

PMID37985473
OpenAlexW4388840119

What OpenQuestion holds

Textmetadata
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.