Evidence map›Paper›PMID 42104739›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2026

Construction of a Postoperative Complication Risk Model for Patients With Stanford Type A Aortic Dissection.

Xiaohui Liu, Wenjun Zhou, Wan Peng, Kai Lu, Jun Yang, Jia Yang, Jin Chen

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Postoperative Complication Risk Factors After Acute Type A Aortic Dissection Surgery.Journal of clinical hypertension (Greenwich, Conn.) · 2026
    Article
  2. 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

7 authors.

Xiaohui LiuDepartment of Transfusion Medicine, Wuhan Asia Heart Hospital, Wuhan, Hubei, China.
Wenjun ZhouDepartment of Critical Care Medicine, Wuhan Asia Heart Hospital, Wuhan, Hubei, China.
Wan PengDepartment of Clinical Laboratory, Wuhan Asia Heart Hospital, Wuhan, Hubei, China.
Kai LuDepartment of Clinical Laboratory, Wuhan Asia Heart Hospital, Wuhan, Hubei, China.
Jun YangDepartment of Clinical Laboratory, Wuhan Asia Heart Hospital, Wuhan, Hubei, China.
Jia YangDepartment of Critical Care Medicine, Wuhan Asia Heart Hospital, Wuhan, Hubei, China.
Jin ChenDepartment of Extracorporeal Circulation, Wuhan Asia Heart Hospital, Wuhan, Hubei, China.

Funding

"Application Study of ECMO Low-intensity Anticoagulation Protocol Guided by Thrombosis Biomarkers"
6 · The paper itself

Abstract

To identify risk factors for postoperative complications in Stanford Type A aortic dissection (TAAD) patients, a risk prediction model was developed and validated. The study included a specific cohort of TAAD patients (aged 32-66 years) who underwent surgery with general anesthesia and cardiopulmonary bypass. A risk model was created using multivariate logistic regression analysis. Of the 522 patients, 174 (33.33%) experienced at least one major postoperative complication, including neurological, respiratory, renal, or other organ dysfunction. Univariate analysis identified several preoperative and intraoperative factors significantly associated with complications. Five independent predictors-age, BMI, stroke history, aortic cross-clamp time, and deep hypothermic circulatory arrest time-were retained in the multivariate logistic regression model as risk factors for postoperative complications in TAAD patients. Based on the logistic regression equation, logistic (P) = -7.458 + 0.056 × 1 + 0.102 × 2 + 0.374 × 3 + 0.018 × 4 + 0.026 × 5, a multivariate logistic regression risk model was developed to calculate the risk of postoperative complications, p = 1/1 + exp (-7.458 + 0.056 × 1 + 0.102 × 2 + 0.374 × 3 + 0.018 × 4 + 0.026 × 5). Model validation results showed that the area under the ROC curve was 0.879, the Hosmer-Lemeshow test p-value was 0.178, with a sensitivity of 77.59% and specificity of 85.34%.The incidence of postoperative complications following surgery for TAAD is relatively high. Both patient physical condition and surgical factors are associated with these complications. Establishing a risk model can help assess the risk of major postoperative complications in TAAD, providing clinically relevant information for perioperative monitoring and early intervention. Due to the specific age distribution of the study population, the results should be applied with caution to elderly patients (> 66 years).

Indexed as

Aortic DissectionDissection, Ascending AortaPostoperative ComplicationsAdultAgedAnesthesia, GeneralCardiopulmonary BypassFemaleHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk Factorscomplicationsperioperative periodrisk modelStanford Type A aortic dissection

Identifiers

PMID42104739
PMCPMC13156517

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.