Evidence map›Paper›PMID 40351700›Full record

ArticleReviews in cardiovascular medicine2025

Predictive Value of the White Blood Cells Count for the Prognosis of Hospitalized Patients with Acute Aortic Dissection.

Yuzhen Suolang, Yizhu Gao, Changli Sun, Shu Zhang

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yuzhen SuolangDepartment of Emergency Medicine, West China Hospital, Sichuan University, 610041 Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0002-1594-4322
Yizhu GaoDepartment of Emergency Medicine, West China Hospital, Sichuan University, 610041 Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0001-1844-5855
Changli SunChengdu Shang Jin Nan Fu Hospital/Shang Jin Hospital of West China Hospital, Sichuan University, 610041 Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0003-7010-6003
Shu ZhangDepartment of Emergency Medicine, West China Hospital, Sichuan University, 610041 Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0001-7808-4433

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Our study evaluated the prognostic significance of white blood cells (WBC) count and WBC subsets in relation to the risk of mortality in acute aortic dissection (AAD) patients during their hospital stay. Methods: We included 833 patients with AAD in this retrospective study. The primary outcome was in-hospital mortality. Cox regression analysis was employed to determine the independent risk factors for mortality in patients with AAD. Amidst the low- and high-WBC groups, we use Kaplan‒Meier survival analysis to compare the cumulative survival rates of patients with AAD. Results: Within 342 patients with type A AAD, patients belonging to the high-WBC group exhibited a notably higher mortality rate compared to patients in the low-WBC group. Kaplan-Meier analysis exhibited that the patients in high-WBC patients had a significantly higher mortality rate. Multivariable Cox regression analysis demonstrated that an elevated WBC was an independent impact factor of in-hospital mortality of patients with type A AAD (hazard ratio, 2.01; 95% confidence interval (CI): 1.24 to 3.27; Conclusions: An elevated WBC count was strongly correlated with an elevated risk of mortality in hospitalized patients afflicted with either type A or type B AAD.

Indexed as

acute aortic dissectionin-hospital mortalitypredictive valuewhite blood cells count

Identifiers

PMID40351700
PMCPMC12059737

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.