Evidence map›Paper›PMID 41140821›Full record

ArticleNagoya journal of medical science2025

Optimal surgical timing for non-urgent surgery patients with active infective endocarditis.

Tomonari Uemura, Hideki Ito, Ryota Yamamoto, Toshikuni Yamamoto, Sachie Terazawa, Tomo Yoshizumi, Yoshiyuki Tokuda, Yuji Narita, Masato Mutsuga

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nagoya journal of medical science, 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.

Tomonari UemuraDepartment of Cardiac Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Hideki ItoDepartment of Cardiac Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Ryota YamamotoDepartment of Cardiac Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Toshikuni YamamotoDepartment of Cardiac Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Sachie TerazawaDepartment of Cardiac Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Tomo YoshizumiDepartment of Cardiac Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yoshiyuki TokudaDepartment of Cardiac Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yuji NaritaDepartment of Cardiac Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Masato MutsugaDepartment of Cardiac Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While preoperative antibiotic therapy is generally recommended in non-emergency surgery cases of infective endocarditis, delaying surgery may lead to a deterioration in patient condition. This study examined deterioration of condition during preoperative antibiotic therapy and associated clinical characteristics to clarify the optimal timing for non-emergent infective endocarditis surgery. We retrospectively analyzed 65 patients (mean age 57.1 ± 16.9 years) with active left-sided infective endocarditis (57 with native valves, 8 with prosthetic valves) initially considered suitable for combined antibiotic therapy and non-emergent surgical treatment. Causative organisms were

Indexed as

EndocarditisEndocarditis, BacterialAdultAgedAnti-Bacterial AgentsFemaleHumansMaleMiddle AgedRetrospective StudiesTime FactorsAnti-Bacterial Agentsinfective endocarditisnon-urgent surgeryprognostication

Identifiers

PMID41140821
PMCPMC12549118

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.