Evidence map›Paper›PMID 34018372›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2021

[The Value of Using SCAI Cardiogenic Shock Stages in Predicting Mortality in CICU Patients].

Danzengzhuoga, Zhi-Feng Zhao, Mao Chen

Abstract read
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

DanzengzhuogaDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Zhi-Feng ZhaoDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Mao ChenDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study the value of using the cardiogenic shock (CS) stages developed by the Society of Cardiovascular Imaging and Intervention (SCAI) in predicting the mortality of CS patients in cardiac intensive care unit (CICU).

methodsWe retrospectively collected (Jan., 2011-Jan., 2018) the information of inpatients who were admitted to the CICU of West China Hospital of Sichuan University on consecutive days, and conducted analysis on those with CS. The patients were divided into groups C, D and E, according to the corresponding SCAI stages, and the primary outcome indicator was in-hospital mortality. Logistic regression was done to determine the association between SCAI staging and in-hospital mortality before and after multivariate adjustment. The receiver operating characteristic curve was used to assess the value of SCAI stages of CS in predicting in-hospital mortality.

resultsWe studies 839 CS patients who met our inclusion criteria. The proportions of patients of SCAI stages C (Classic), D (Deteriorating), and E (Extremis) were 43.3% (363 cases), 38.7% (325 cases) and 18.0% (151 cases), respectively. The unadjusted in-hospital mortality rates were 22.9% (83 cases), 44.0% (143 cases) and 53.6% (81 cases), respectively (

conclusionIn CICU patients with CS, the SCAI stages of CS can be used as a stratified method for rapid assessment of disease risks upon admission. In patients with acute coronary syndrome and CS, SCAI stages combined with GRACE scores improved the ability to predict risks of death.

Indexed as

Shock, CardiogenicChinaHospital MortalityHumansRetrospective StudiesRisk AssessmentCardiogenic shockRisk stratificationSCAI cardiogenic shock stages

Identifiers

PMID34018372
PMCPMC10409207

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.