Evidence map›Paper›PMID 42184026›Full record

ArticleJournal of anesthesia2026

Ultrasonographic evaluation of safer deltoid intramuscular injection sites to reduce the risk of SIRVA.

Mitsuharu Kodaka, Yoko Mukouyama, Ikuko Ushiyama, Erika Shimizu, Yusuke Hashimoto, Junko Ichikawa

Abstract read
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Article in Journal of anesthesia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

6 authors.

Mitsuharu KodakaDepartment of Anesthesiology, Tokyo Women's Medical University Adachi Medical Center, 4-33-1 Kohoku, Adachi-ku, Tokyo, Japan. kmkodaka@cb3.so-net.ne.jp.ORCID http://orcid.org/0000-0002-0052-1020
Yoko MukouyamaDepartment of Anesthesiology, Tokyo Women's Medical University Adachi Medical Center, 4-33-1 Kohoku, Adachi-ku, Tokyo, Japan.
Ikuko UshiyamaDepartment of Anesthesiology, Tokyo Women's Medical University Adachi Medical Center, 4-33-1 Kohoku, Adachi-ku, Tokyo, Japan.
Erika ShimizuDepartment of Anesthesiology, Tokyo Women's Medical University Adachi Medical Center, 4-33-1 Kohoku, Adachi-ku, Tokyo, Japan.
Yusuke HashimotoDepartment of Anesthesiology, Tokyo Women's Medical University Adachi Medical Center, 4-33-1 Kohoku, Adachi-ku, Tokyo, Japan.
Junko IchikawaDepartment of Anesthesiology, Tokyo Women's Medical University Adachi Medical Center, 4-33-1 Kohoku, Adachi-ku, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intramuscular injection into the deltoid muscle has increased in Japan following coronavirus disease 2019 (COVID-19) vaccination programs and the introduction of vaccines such as Shingrix™. Limited experience with this technique may increase the risk of shoulder injury related to vaccine administration (SIRVA). Landmark-based techniques have not been sufficiently validated using ultrasonography. Thirty-four healthy volunteers were enrolled. Using ultrasound, we measured the distances and depths from the conventional injection site-defined as the intersection of a vertical line from the acromion and the axillary horizontal line (AHL)-to the axillary nerve, radial nerve, and subdeltoid bursa. The axillary nerve/posterior circumflex humeral artery was located 1.8 ± 1.2 cm from the AHL at a depth of 2.6 ± 1.2 cm. The inferior margin of the subdeltoid bursa was located - 0.3 ± 1.2 cm at a depth of 2.5 ± 0.4 cm. The radial nerve was located 9.4 ± 2.0 cm caudally. There were no differences between left and right. An injection site located 3.0-3.5 cm below AHL, with a needle depth < 1.7 cm, may represent a safer approach for injection. These findings provide anatomical insights that may help optimize injection techniques and potentially reduce the risk of SIRVA. Clinical trial registration: UMIN000048777.

Indexed as

Axillary nerveDeltoid muscleIntramuscular injectionSIRVAUltrasound

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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.