Evidence map›Paper›PMID 32917250›Full record

ArticleJournal of cardiothoracic surgery2020

Perioperative risk factors predict one-year mortality in patients with acute type-A aortic dissection.

Yanwei Yang, Jiayi Xue, Huixian Li, Jiaqi Tong, Mu Jin

Registry-linked trialAbstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07623213 (Artificial Intelligence Multimodal Prediction Model-Guided Intensified Follow-up Strategy for 1-Year Outcomes After Surgery for Acute Type A Aortic Dissection), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT07623213 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Artificial Intelligence Multimodal Prediction Model-Guided Intensified Follow-up Strategy for 1-Year Outcomes After Surgery for Acute Type A Aortic Dissection: A Multicenter Randomized Controlled Trial

TypeinterventionalSponsorSecond Affiliated Hospital, Zhejiang University, School of MedicineRan2026 to 2029Enrolled1,314ConditionsAcute Type A Aortic Dissection, Stanford Type A Aortic Dissection, Postoperative Aortic Dissection Follow-upArmsUsual Postoperative Follow-up Strategy, AI Prediction Model-Guided Intensified Follow-up Strategy
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Yanwei YangDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Jiayi XueDepartment of Anesthesiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, and Beijing Engineering Research Center of Vascular Prostheses, Beijing, 100029, China.
Huixian LiDepartment of Anesthesiology, The First Hospital of Tsinghua University, Beijing, China.
Jiaqi TongDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Mu JinDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China. jinmu0119@hotmail.com.ORCID http://orcid.org/0000-0001-7926-2561

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe goal of this study was to analyze perioperative risk factors to predict one- year mortality after operation for acute type A aortic dissection (AAD).

methodsA total of 121 consecutive patients undergoing Stanford type A AAD surgery in Beijing Anzhen Hospital were enrolled. Preoperative clinical and laboratory data from patients were collected.

resultsMultivariable Cox regression analysis showed that significant factors associated with increased one-year mortality were elder age (year) (hazard ratio (HR) 1.0985; 95% confidence interval (CI) 1.0334-1.1677), intraoperative blood transfusion ≥2000 mL (HR 8.8081; 95% CI 2.3319-33.2709), a higher level of serum creatinine (μmol/L) at postoperative one day (HR 1.0122; 95% CI 1.0035-1.0190) and oxygenation index (OI) < 200 (mmHg) at the end of surgery (HR 5.7575; 95% CI 1.1695-28.3458).

conclusionIn this study, perioperative risk factors to predict one-year prognosis are age, intraoperative blood transfusion ≥2000 mL, postoperative OI < 200 mmHg and level of postoperative serum creatinine. The results aid in the comprehension of surgical outcomes and assist in the optimization of treatment strategies for those with perioperative risk factors to decrease one-year mortality.

Indexed as

Vascular Surgical ProceduresAcute DiseaseAdolescentAdultAgedAortic Aneurysm, ThoracicAortic DissectionBiomarkersBlood Gas AnalysisChinaCreatinineFemaleHumansMaleMiddle AgedPerioperative PeriodBiomarkersCreatinineAcute type a aortic dissectionPerioperative risk factorShort-term mortality

Identifiers

PMID32917250
PMCPMC7488853

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Registered trials

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.