Evidence map›Paper›PMID 41255584›Full record

ArticleJuntendo medical journal2025

Short- and Long-term Prognostic Impacts of Diabetes Mellitus in Patients Undergoing Off-pump Coronary Artery Bypass Grafting with Skeletonized Internal Thoracic Artery Graft.

Shunya Ono, Kan Kajimoto, Taira Yamamoto, Ryoma Oda, Takeshi Kinoshita, Atsushi Amano, Minoru Tabata

Abstract read
In one paragraph

Article in Juntendo medical journal, 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

7 authors.

Shunya Ono
Kan Kajimoto
Taira Yamamoto
Ryoma Oda
Takeshi Kinoshita
Atsushi Amano
Minoru Tabata

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Diabetes mellitus (DM) is a widely recognized risk factor for adverse outcomes after coronary artery bypass grafting (CABG). This study aimed to reassess the impact of DM on the short- and long-term outcomes of patients undergoing CABG using skeletonized internal thoracic artery (ITA) grafts. Materials: This retrospective analysis included 2,737 consecutive patients who underwent CABG between 2002 and 2020 at Juntendo University. The patients were divided into two groups based on the presence or absence of DM. Outcomes were analyzed for both short- and long-term periods to evaluate the prognostic impact of DM. Results: Mean follow-up was 7.1 ± 4.9 years. Diabetic patients had a higher prevalence of coexisting diseases and impaired preoperative cardiac and renal function than non-diabetic patients. While short-term outcomes, including in-hospital mortality and deep sternal wound infection, were similar between the groups, patients with diabetes exhibited higher rates of postoperative complications, such as acute kidney injury. During long-term follow-up, patients with diabetes had significantly poorer outcomes, including higher all-cause mortality, cardiac mortality, and major adverse cardiac and cerebrovascular events (MACCE). Conclusion: The use of skeletonized ITA grafts was not associated with an increased incidence of deep sternal wound infection (DSWI), even in patients with diabetes. DM remains a strong risk factor for both short- and long-term adverse outcomes in patients who undergo CABG. These findings emphasize the need for improved perioperative and long-term management of patients with diabetes to achieve better CABG outcomes.

Indexed as

diabetes mellitusoff-pump coronary artery bypass graftingskeletonized arterial graft

Identifiers

PMID41255584
PMCPMC12620707

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.