Evidence map›Paper›PMID 40098869›Full record

ArticleAnnals of thoracic surgery short reports2025

Expert Management of Type B Aortic Dissection From Onset With Thoracic Endovascular Aortic Repair.

Katsuhiko Oda, Makoto Takahashi, Ryuichi Taketomi, Rina Akanuma, Takahiko Hasegawa, Satoshi Kawatsu

Abstract read
In one paragraph

Article in Annals of thoracic surgery short reports, 2025. 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. Observational
  2. Review
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

6 authors.

Katsuhiko OdaDepartment of Cardiovascular Surgery, Iwate Prefectural Central Hospital, Morioka, Iwate, Japan.
Makoto TakahashiDepartment of Cardiovascular Surgery, Iwate Prefectural Central Hospital, Morioka, Iwate, Japan.
Ryuichi TaketomiDepartment of Cardiovascular Surgery, Iwate Prefectural Central Hospital, Morioka, Iwate, Japan.
Rina AkanumaDepartment of Cardiovascular Surgery, Iwate Prefectural Central Hospital, Morioka, Iwate, Japan.
Takahiko HasegawaDepartment of Cardiovascular Surgery, Iwate Prefectural Central Hospital, Morioka, Iwate, Japan.
Satoshi KawatsuDepartment of Cardiovascular Surgery, Iwate Prefectural Central Hospital, Morioka, Iwate, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Thoracic endovascular aortic repair is a key treatment of acute type B aortic dissection. We recognized the importance of managing type B aortic dissections from their onset and established our strategy in 2013. Here, we report the early and late outcomes of our comprehensive strategy for the management of type B aortic dissections. Methods: This was a single-institution, observational, retrospective study. Between April 2013 and March 2024, 227 consecutive patients with acute type B aortic dissection were admitted to our institute and treated by our strategy. Early and late outcomes were also assessed for all patients. Results: Thoracic endovascular aortic repair plus optimal medical treatment was performed to close the primary entry tear in 90 patients (40%) in the acute (12%), subacute (14%), and chronic (14%) phases. Optimal medical treatment alone was performed in 137 patients (60%). The early and late outcomes showed significant improvement. Conclusions: Our strategy provided excellent early and late outcomes of acute type B aortic dissection, avoided postoperative paraplegia, and completely prevented thoracoabdominal aortic replacement.

Identifiers

PMID40098869
PMCPMC11910817

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.