Evidence map›Paper›PMID 40438200›Full record

ArticleAnnals of vascular diseases2025

Predicting Early Mortality after Thoracic Endovascular Aneurysm Repair: A Machine Learning-Based Decision Tree Analysis.

Masaki Kano, Toshiya Nishibe, Tsuyoshi Iwasa, Seiji Matsuda, Shinobu Akiyama, Toru Iwahashi, Shoji Fukuda, Yusuke Shimahara, Masayasu Nishibe

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of vascular diseases, 2025. 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

9 authors.

Masaki KanoDepartment of Cardiovascular Surgery, Tokyo Medical University, Tokyo, Japan.
Toshiya NishibeDepartment of Cardiovascular Surgery, Tokyo Medical University, Tokyo, Japan.
Tsuyoshi IwasaDepartment of Medical Informatics and Management, Hokkaido Information University, Ebetsu, Hokkaido, Japan.
Seiji MatsudaDepartment of Medical Informatics and Management, Hokkaido Information University, Ebetsu, Hokkaido, Japan.
Shinobu AkiyamaDepartment of Cardiovascular Surgery, Tokyo Medical University, Tokyo, Japan.
Toru IwahashiDepartment of Cardiovascular Surgery, Tokyo Medical University, Tokyo, Japan.
Shoji FukudaDepartment of Cardiovascular Surgery, Tokyo Medical University, Tokyo, Japan.
Yusuke ShimaharaDepartment of Cardiovascular Surgery, Tokyo Medical University, Tokyo, Japan.
Masayasu NishibeDepartment of Surgery, Eniwa Midorino Clinic, Eniwa, Hokkaido, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

decision tree analysismachine learningmortalitythoracic aortic aneurysmthoracic endovascular aneurysm repair

Identifiers

PMID40438200
PMCPMC12117201

What OpenQuestion holds

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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.