Evidence map›Paper›PMID 39157251›Full record

ArticleJSES reviews, reports, and techniques2024

Continuous local antibiotic perfusion technique for surgical site infections after shoulder surgery.

Yohei Shimada, Nobuyasu Ochiai, Eiko Hashimoto, Daisuke Kajiwara, Yu Hiraoka, Kenta Inagaki, Seiji Ohtori, Hisateru Niki

Abstract read
In one paragraph

Article in JSES reviews, reports, and techniques, 2024. 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. Article
  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

8 authors.

Yohei ShimadaDepartment of Orthopedic Surgery, St. Marianna University School of Medicine, Kanagawa, Japan.
Nobuyasu OchiaiDepartment of Orthopedic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Eiko HashimotoDepartment of Orthopedic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Daisuke KajiwaraDepartment of Orthopedic Surgery, Numazu City Hospital, Sizuoka, Japan.
Yu HiraokaDepartment of Orthopedic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Kenta InagakiDepartment of Orthopedic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Seiji OhtoriDepartment of Orthopedic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Hisateru NikiDepartment of Orthopedic Surgery, St. Marianna University School of Medicine, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Continuous local antibiotic perfusion (CLAP) is a method for preserving tissue and function against surgical site infections (SSIs) after shoulder surgery. Methods: To describe the application of the novel CLAP technique to 10 patients with SSIs after shoulder surgery that were not controlled with repeated surgical débridement or elderly patients who are insufficient physical resilience for further surgeries. Results: CLAP, consisting of gentamicin, was performed for 2 weeks, after which the infection was well-controlled. The white blood cell count and C-reactive protein level improved rapidly within 1 week of initiating CLAP, after which the patients were switched to oral antibiotics for 3 months. None of the patients experienced any adverse events. Conclusion: CLAP for SSIs after shoulder surgery was successful in preserving implants and grafts. The SSIs were controlled with no adverse events. CLAP may be an important treatment option for SSIs after shoulder surgery.

Indexed as

ArthroplastyCLAPContinuous local antibiotic perfusionShoulder surgerySuperior capsule reconstructionSurgical site infection

Identifiers

PMID39157251
PMCPMC11329016

What OpenQuestion holds

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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.