Evidence map›Paper›PMID 37188298›Full record

ArticleJournal of medical cases2023

Rapidly-Progressing Pyomyositis After Chest Contusion in a Patient With Well-Controlled Diabetes Mellitus.

Kazuya Ura, Misato Motoya, Hidehiro Ishii

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Journal of medical cases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Pyomyositis involving the scapular muscles: A case series.Journal of family medicine and primary care · 2023
    Article
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

3 authors at 1 institution in 1 country.

Kazuya UraDepartment of General Internal Medicine, Saiseikai Futsukaichi Hospital, Fukuoka, Japan.
Misato MotoyaDepartment of Diabetology, Saiseikai Futsukaichi Hospital, Fukuoka, Japan.
Hidehiro IshiiDepartment of Diabetology, Saiseikai Futsukaichi Hospital, Fukuoka, Japan.
Saiseikai Fukuoka General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pyomyositis is an uncommon acute bacterial infection of the skeletal muscle. It is sometimes referred to as "tropical pyomyositis" because it has been primarily reported as an endemic disease in tropical regions. In temperate climates, it is mainly diagnosed in immunocompromised persons, such as those with human immunodeficiency virus infection, malignancy, diabetes, and various other medical conditions. Early diagnosis and appropriate antimicrobial therapy for pyomyositis are important, however, it is often missed in its early stage. Herein, we report the case of a patient with obesity and well-controlled diabetes in whom rapid onset pyomyositis developed in only 2 days after chest contusion and induced bacteremia in its early stage. He was successfully treated by antimicrobials without any drainage or surgical intervention. Even in patients with well-controlled diabetes or in healthy persons, pyomyositis should be considered for patients who present with fever and muscle swelling and pain, especially when they have obesity and a history of blunt trauma. It should also be noted that pyomyositis, mimicking muscle contusion or hematoma can appear very early after blunt muscle trauma. Prompt diagnosis and antimicrobial treatment for pyomyositis can lead to a favorable outcome, without surgical drainage.

Indexed as

DiabetesMethicillin-sensitive Staphylococcus aureusMuscle traumaObesityPyomyositis

Identifiers

PMID37188298
PMCPMC10181290
OpenAlexW4368366503

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.