Evidence map›Paper›PMID 42813177›Full record

ArticleCureus2026

Retrograde Cerebral Perfusion in Type A Aortic Dissection Repair Is Associated With Higher Rates of Postoperative Complications.

Abhishek Chakraborty, Kevin Hayes, Hirohisa Ikegami, Gengo Sunagawa, Mark J Russo, Leonard Y Lee, Anthony Lemaire

Abstract read
In one paragraph

Article in Cureus, 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
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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

7 authors.

Abhishek ChakrabortyCardiac Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, USA.
Kevin HayesCardiac Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, USA.
Hirohisa IkegamiCardiac Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, USA.
Gengo SunagawaCardiac Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, USA.
Mark J RussoCardiac Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, USA.
Leonard Y LeeCardiac Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, USA.
Anthony LemaireCardiac Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The comparative short- and long-term outcomes of retrograde versus antegrade cerebral perfusion during circulatory arrest for acute type A aortic dissection repair remain debated. Methods In this single-center retrospective study, postoperative outcomes were compared between retrograde and antegrade cerebral perfusion. Retrograde cerebral perfusion was employed in older patients (median age = 72 vs. 63 years; p = 0.030), with comparable body mass index (29 vs. 28 kg/m²; p = 0.649). Results Relative to antegrade cerebral perfusion, retrograde cerebral perfusion was associated with increased 30-day mortality (40% vs. 13%; p = 0.003), postoperative pericardial and pleural effusion (75% vs. 43%; p = 0.009), and cerebrovascular accident (35% vs. 16%; p = 0.044). After multivariable adjustment for circulatory arrest time and nadir hypothermic temperature, retrograde perfusion independently predicted 30-day mortality (adjusted odds ratio: 7.66; 95% CI: 2.16-27.13; p = 0.002). Conclusions These findings suggest that retrograde cerebral perfusion is associated with worse postoperative outcomes following acute type A aortic dissection repair and warrant further investigation.

Indexed as

antegrade cerebral perfusioncerebral protectiondeep hypothermic circulatory arrestretrograde cerebral perfusiontype a aortic dissection

Identifiers

PMID42813177
PMCPMC13623396

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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.