Evidence map›Paper›PMID 37229000›Full record

ArticleAnnals of medicine and surgery (2012)2023

Partial infraspinatus tear with bursitis following an mRNA vaccination: a case report.

Chaiwat Chuaychoosakoon, Pattira Boonsri

Open access · diamondAbstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 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
–field-weighted citation impact, top 91% 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, 0 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Chaiwat ChuaychoosakoonDepartment of Orthopedics.ORCID 0000-0001-7537-1306
Pattira BoonsriDepartment of Radiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
Prince of Songkla University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a case of a shoulder injury related to vaccine administration (SIRVA) that developed symptoms 2 weeks following a coronavirus disease 2019 (COVID-19) vaccination and improved after receiving both intraarticular and subacromial corticosteroid injections. Presentation of case: A 52-year-old Thai female without preexisting shoulder pathology and symptom had developed left shoulder pain for 3 days. Two weeks prior to shoulder pain, she received an mRNA COVID-19 vaccination. She positioned her arm in combined internal rotation with 60° of arm abduction. Her symptoms were pain in all directions of shoulder motion and tenderness at the bicipital groove and over the deltoid area. The testing of the rotator cuff power of the infraspinatus tendon showed pain. Intervention and outcome: An MRI showed infraspinatus tendinosis with a low-grade (almost 50%) bursal-surface tear at the footprint of the superior fiber with associated overlying subacromial-subdeltoid bursitis. She was treated with both intraarticular and subacromial corticosteroid injections (triamcinolone acetate (40 mg/ml) 1 ml+1% lidocaine with adrenaline 9 ml). She did not respond to oral naproxen but responded well to intraarticular and subacromial corticosteroid injections. Relevance and impact: The best way to deal with SIRVA is to prevent this condition by using the correct injection technique. First, the injection site should be two or three fingerbreadths below the mid-acromion process. Second, the needle's direction should be perpendicular to the skin. Third, using the correct needle penetration depth.

Indexed as

COVID-19injuryshouldervaccination

Identifiers

PMID37229000
PMCPMC10205253
OpenAlexW4366725731

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.