Evidence map›Paper›PMID 32295635›Full record

Observational studyJournal of cardiothoracic surgery2020

The use of cIMT as a predictor of postoperative stroke in patients undergoing surgical repair of acute type a aortic dissection.

Kai Zhang, Si-Chong Qian, Xu-Dong Pan, Song-Bo Dong, Jun Zheng, Hong Liu, Yue-Li Wang, Li-Zhong Sun

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of cardiothoracic surgery, 2020. 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
0.4field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  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

8 authors at 3 institutions in 1 country.

Kai ZhangDepartment of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 2 Anzhen Rd, Beijing, 100029, China.
Si-Chong QianDepartment of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 2 Anzhen Rd, Beijing, 100029, China.
Xu-Dong PanDepartment of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 2 Anzhen Rd, Beijing, 100029, China.
Song-Bo DongDepartment of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 2 Anzhen Rd, Beijing, 100029, China.
Jun ZhengDepartment of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 2 Anzhen Rd, Beijing, 100029, China.
Hong LiuDepartment of Cardiothoracic Surgery, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yue-Li WangDepartment of Echocardiography, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Li-Zhong SunDepartment of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 2 Anzhen Rd, Beijing, 100029, China. Lizhongsun@foxmail.com.
Capital Medical University · CNBeijing Anzhen Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Natural Science Foundation of Beijing Municipality 7202038
6 · The paper itself

Abstract

backgroundAcute type A aortic dissection (ATAAD) is a life-threatening condition that requires surgical intervention. Stroke remains an extremely serious adverse outcome that can occur in ATAAD patients undergoing aortic arch repair, leading to higher rates of patient mortality and decreased postoperative quality of life. In the present study, we sought to determine whether carotid intima-media thickness (cIMT) is a reliable predictor of postoperative stroke risk. MATERIALS AND

methodsThis was a prospective study of 76 patients with ATAAD undergoing aortic arch repair. For all patients, cIMT was determined preoperatively through a Doppler-based method. Incidence of different forms of neurological dysfunction, including temporary neurological dysfunction (TND) and stroke, was monitored in these patients, and the relationship between cIMT and stroke incidence was assessed using a receiver-operating characteristic (ROC) curve. Prognostic variables associated with stroke risk were further identified through univariate and multivariate analyses.

resultsA total of 26/76 (34.2%) patients in the present study suffered from neurological dysfunction, of whom 16 (21.0%) suffered from TND and 10 (13.2%) suffered a stroke. The remaining 50 patients (65.8%) did not suffer from neurological dysfunction. The cIMT values in the stroke, TND, and neurological dysfunction-free patients in this study were 1.12 ± 0.19 (mm), 0.99 ± 0.13 (mm), and 0.87 ± 0.13 (mm), respectively. A total of 4 patients in this cohort died during the study, including 1 in the TND group and 3 in the stroke group. An ROC curve analysis indicated that cIMT could predict stroke with an area under the curve value of 0.844 (95% CI, 0.719-0.969; p < 0.001). A multivariate analysis revealed that cIMT > 0.9 mm was independently associated with stroke risk (p = 0.018).

conclusionWe found that cIMT can be used to predict postoperative stroke risk in ATAAD patients undergoing aortic arch repair, with a cIMT > 0.9 mm coinciding with increased stroke risk in these patients.

trial registrationChiCTR1900022289. Date of registration 4 April 2019 retrospectively registered.

Indexed as

Carotid Intima-Media ThicknessAcute DiseaseAdultAorta, ThoracicAortic AneurysmAortic DissectionArea Under CurveFemaleHumansMaleMiddle AgedNervous System DiseasesPostoperative ComplicationsPrognosisProspective StudiesRisk FactorsCarotid intima–media thickness (cIMT)Risk factorStrokeType A aortic dissection

Identifiers

PMID32295635
PMCPMC7161218
OpenAlexW3016756530

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.