Evidence map›Paper›PMID 41892704›Full record

ArticleJournal of cardiovascular development and disease2026

Prognostic Impact of Untreated Chronic Coronary Artery Obstruction After Surgery for Aortic Regurgitation.

Xin Li, Vito Domenico Bruno, Yi Jiang, Yunxing Xue, Dongjin Wang

Abstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 2026. 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

5 authors.

Xin LiDepartment of Cardiovascular Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Graduate School of Peking Union Medical College, Nanjing 210008, China.ORCID 0009-0001-0539-4729
Vito Domenico BrunoDepartment of Minimally Invasive Cardiac Surgery, IRCCS Galeazzi Sant'Ambrogio Hospital, 20157 Milan, Italy.ORCID 0000-0002-8193-9559
Yi JiangDepartment of Cardiovascular Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Graduate School of Peking Union Medical College, Nanjing 210008, China.
Yunxing XueDepartment of Cardiovascular Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Graduate School of Peking Union Medical College, Nanjing 210008, China.
Dongjin WangDepartment of Cardiovascular Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Graduate School of Peking Union Medical College, Nanjing 210008, China.

Funding

Clinical Trials from the Affiliated Drum Tower Hospital, Medical School of Nanjing University 2022-LCYJ-MS-32Jiangsu Province Capability Improvement Project through Science, Technology and Education, Jiangsu Provincial Medical Key Discipline ZDXK202229National Natural Science Foundation of China 82100508; 82241212; 82270346
6 · The paper itself

Abstract

backgroundThe optimal management strategy for 50-70% chronic coronary artery stenosis in patients undergoing aortic valve surgery for aortic regurgitation (AR) remains controversial. This study evaluates the prognostic impact of chronic coronary obstruction severity on surgical outcomes and mid-term survival.

methodsThis retrospective cohort study included 717 patients undergoing aortic valve surgery for AR, grouped by coronary stenosis into <50% (

resultsNo intergroup differences emerged in perioperative mortality (1.32% vs. 1.56%,

conclusionsIn patients with AR, 50-70% chronic coronary obstruction does not increase perioperative complications, MACE, and all-cause mortality.

Indexed as

aortic regurgitationcoronary artery diseasevalve disease

Identifiers

PMID41892704
PMCPMC13027027

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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.