Evidence map›Paper›PMID 29713920›Full record

ArticleInjury epidemiology2018

Epidemiological patterns of traumatic musculoskeletal injuries and non-traumatic disorders in Japan Self-Defense Forces.

Masatoshi Amako, Yoshiyuki Yato, Yasuo Yoshihara, Hiroshi Arino, Hiroshi Sasao, Osamu Nemoto, Tomohito Imai, Atsushi Sugihara, Satoshi Tsukazaki, Yutaka Sakurai and 1 more

Open access · goldAbstract read
In one paragraph

Article in Injury epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 7% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Risk factors for musculoskeletal injuries in military personnel: a systematic review with meta-analysis.International archives of occupational and environmental health · 2021
    Pooled it
  3. Hand trauma associated with non-professional animal slaughter during Eid al-Adha: an emergency and hand surgery experience.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2026
    Article
  4. 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

11 authors at 3 institutions in 1 country.

Masatoshi AmakoDepartment of Orthopaedic Surgery, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan. amako@ndmc.ac.jp.ORCID http://orcid.org/0000-0002-4423-9633
Yoshiyuki YatoDepartment of Orthopaedic Surgery, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan.
Yasuo YoshiharaDepartment of Orthopaedic Surgery, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan.
Hiroshi ArinoDepartment of Orthopaedic Surgery, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan.
Hiroshi SasaoDepartment of Orthopaedic Surgery, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan.
Osamu NemotoDepartment of Orthopaedic Surgery, Japan Self-Defense Forces Central Hospital, Setagaya, Tokyo, Japan.
Tomohito ImaiDepartment of Orthopaedic Surgery, Japan Self-Defense Forces Sapporo Hospital, Sapporo, Hokkaido, Japan.
Atsushi SugiharaDepartment of Orthopaedic Surgery, Japan Self-Defense Forces Hospital Kure, Kure, Hiroshima, Japan.
Satoshi TsukazakiDepartment of Orthopaedic Surgery, Japan Self-Defense Forces Hospital Yokosuka, Yokosuka, Kanagawa, Japan.
Yutaka SakuraiDepartment of Public Health and Preventive Medicine, National Defense Medical College, Tokorozawa, Saitama, Japan.
Koichi NemotoDepartment of Orthopaedic Surgery, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan.
National Defense Medical College · JPSelf-Defense Forces Central Hospital · JPKure Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe epidemiological patterns of musculoskeletal injuries or disorders in military personnel have not been well documented and a better understanding is required for proper preventative measures and treatment. Here, we investigated musculoskeletal injuries or disorders among members of the Japan Self-Defense Forces.

methodsAll orthopedic patients (n = 22,340) who consulted to Japan Self-Defense Forces Hospitals were investigated for their type of injury or disorder, the injured body part, the mechanism, and the cause of injuries.

resultsThirty-nine percent of the cases were classified as traumatic injuries, and 61% were classified as non-traumatic disorders. Of the traumatic injury patients, the injured body part was the upper extremity in 32%, the trunk in 23%, and the lower extremities in 45% of the cases. The most common injured body location was the knee followed by the hand/finger and ankle. Exercise was the most common cause of injury, followed by traffic accident and military training. Contusions were the most common traumatic injuries, followed by sprains and fractures. Of non-traumatic disorders, the lower extremities were reported as the injured part in 43% of the disorders. Lumbar spine disorders were the most common non-traumatic disorders, followed by tendon and joint disorders.

conclusionsOver one-third of orthopedic cases among members of the Japan Self-Defense Forces are traumatic injuries, with the knee being the body part most commonly injured and exercise being the leading cause of injury.

Indexed as

Body mass indexEpidemiological surveillanceFracture riskMusculoskeletal injuryNon-traumatic musculoskeletal disorder

Identifiers

PMID29713920
PMCPMC5928013
OpenAlexW2803954972

What OpenQuestion holds

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LicenceCC BY
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.