Evidence map›Paper›PMID 37105511›Full record

ArticleThe Annals of thoracic surgery2023

Proximal vs Extensive Repair in Acute Type A Aortic Dissection Surgery.

Hong Liu, Ying-Yuan Zhang, Xiao-Hang Ding, Si-Chong Qian, Ming-Yu Sun, Al-Wajih Hamzah, Ya-Nan Gao, Yong-Feng Shao, Hai-Yang Li, Kai Wang and 3 more

Registry-linked trialAbstract read
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In one paragraph

Article in The Annals of thoracic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04918108 (Inflammatory Response and Anti-inflammatory Action for Aortopathy & Arteriopathy), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT04918108 completednot on this map

Inflammatory Response and Anti-inflammatory Action for Aortopathy & Arteriopathy (5A-Plan): A Multicenter Cohort Study

TypeobservationalSponsorNanjing Medical UniversityRan2021 to 2021Enrolled2,000ConditionsAortic DissectionArmsinflammatory response
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Trial
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Hong LiuDepartment of Cardiovascular Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China.
Ying-Yuan ZhangDepartment of Cardiovascular Surgery, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.
Xiao-Hang DingDepartment of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, People's Republic of China.
Si-Chong QianDepartment of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, People's Republic of China.
Ming-Yu SunDepartment of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, People's Republic of China.
Al-Wajih HamzahDepartment of Cardiovascular Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China.
Ya-Nan GaoDepartment of Anesthesiology, the First Affiliated Hospital of Bengbu Medical College, Bengbu, People's Republic of China.
Yong-Feng ShaoDepartment of Cardiovascular Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China.
Hai-Yang LiDepartment of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, People's Republic of China.
Kai WangDepartment of Cardiovascular Surgery, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China. Electronic address: kaiwang26@163.com.
Bu-Qing NiDepartment of Cardiovascular Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China.
Hong-Jia ZhangDepartment of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, People's Republic of China.
Additive Anti-inflammatory Action for Aortopathy & Arteriopathy (5A) Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis purpose of this study was to evaluate the impact of proximal vs extensive repair on mortality and how this impact is influenced by patient characteristics.

methodsOf 5510 patients with acute type A aortic dissection from 13 Chinese hospitals (2016-2021) categorized by proximal vs extensive repair, 4038 patients were used for for model derivation using eXtreme gradient boosting and 1472 patients for model validation.

resultsOperative mortality of extensive repair was higher than proximal repair (10.4% vs 2.9%; odd ratio [OR], 3.833; 95% CI, 2.810-5.229; P < .001) with a number needed to harm of 15 (95% CI, 13-19). Seven top features of importance were selected to develop an alphabet risk model (age, body mass index, platelet-to-leucocyte ratio, albumin, hemoglobin, serum creatinine, and preoperative malperfusion), with an area under the curve of 0.767 (95% CI, 0.733-0.800) and 0.727 (95% CI, 0.689-0.764) in the derivation and validation cohorts, respectively. The absolute rate differences in mortality between the 2 repair strategies increased progressively as predicted risk rose; however it did not become statistically significant until the predicted risk exceeded 4.5%. Extensive repair was associated with similar risk of mortality (OR, 2.540; 95% CI, 0.944-6.831) for patients with a risk probability < 4.5% but higher risk (OR, 2.164; 95% CI, 1.679-2.788) for patients with a risk probability > 4.5% compared with proximal repair.

conclusionsExtensive repair is associated with higher mortality than proximal repair; however it did not carry a significantly higher risk of mortality until the predicted probability exceeded a certain threshold. Choosing the right surgery should be based on individualized risk prediction and treatment effect. (ClinicalTrials.gov no. NCT04918108.).

Indexed as

Aortic DissectionAcute DiseaseHumansPostoperative ComplicationsProbabilityRetrospective StudiesRisk FactorsTreatment Outcome

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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.