Evidence map›Paper›PMID 35965826›Full record

ArticleAnnals of translational medicine2022

Establishment of a novel risk score for in-hospital mortality in adult sepsis patients.

Yan-Jun Zheng, Xiao-Juan Zhu, Yu-Wei Chen, Yu-Zhen Zheng, Yi Zhou, Wen-Jie Chen, Xiang-Tao Zheng, Ming Zhong, Zhi-Tao Yang, En-Qiang Mao and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 32% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

12 authors at 2 institutions in 1 country.

Yan-Jun Zheng *Department of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiao-Juan Zhu *Department of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yu-Wei ChenDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yu-Zhen ZhengDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yi ZhouDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wen-Jie ChenDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiang-Tao ZhengDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ming ZhongDepartment of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhi-Tao YangDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
En-Qiang MaoDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Er-Zhen ChenDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ying ChenDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Jiao Tong University · CNRuijin Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Existing scoring systems have limitations in predicting the in-hospital mortality of adult sepsis patients. We aimed to develop and validate a novel risk score for predicting the in-hospital mortality of adult sepsis patients. Methods: The clinical data of 1,335 adult sepsis inpatients were retrospectively analyzed. Enrolled patients were randomly divided into a modeling group and a validation group at a 3:2 ratio. The modeling group (n=801) was used to develop the risk score by univariate and multivariate logistic regression analyses. The score's performance was validated in the validation group (n=534). We classified patients into four risk levels according to the novel risk score. Results: Age, central vein catheterization, mechanical ventilation, vasopressin, Charlson comorbidity index (CCI), respiratory rate (RR), heart rate (HR), Glasgow coma scale (GCS) score, platelet (PLT), hematocrit (HCT), aspartate aminotransferase (AST), and activated partial thrombin time (APTT) were independent risk factors for in-hospital death in adult sepsis patients. Continuous variables were converted into classified variables to develop the risk score, with a total score of 39 points. Adult sepsis patients with low, lower medium, higher medium, and high risk levels had in-hospital mortality rates of 9.8%, 24.7%, 55.8%, and 83.5%, respectively. Conclusions: Compared with the Acute Physiology and Chronic Health Evaluation II scoring system (APACHE II) and the Modified Early Warning Score (MEWS), the novel risk score showed good predictive performance for in-hospital mortality in adult sepsis patients.

Indexed as

in-hospital mortalityrisk scoreSepsis

Identifiers

PMID35965826
PMCPMC9372666
OpenAlexW4288737365

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.