Evidence Hub

Self-mutilation: a systematic review

Medeiros Nunes M, Maia CR, de Andrade Santos PR, de Lisboa Lopes Costa A, de Moura SAB, de Andrade Santos PP

Forensic science, medicine, and pathology, 2025

1 citation

Abstract

Self-mutilation lesions can represent a clinical diagnosis challenge for healthcare professionals, as patients do not admit to self-mutilation. This leads to failed diagnoses due to the similarity of this condition to other diseases. Searches on the subject were carried out at the PubMed, Periódicos Capes, Scopus, Science Direct and WoS databases, according to the following inclusion criteria: articles in English, Portuguese or Spanish, published from 2018 to June 2023, encompassing case reports, case series and literature reviews. Men are slight more affected by self-mutilation injuries, also presenting the most serious lesions. Self-mutilation injuries are reported globally, mostly in the Asian and American continents. Clinical presentations are varied, but morphology is, in most cases, associated to the form/instrument used for self-mutilation. Greater evidence of diagnosed mental disorders in women and underreporting of these cases in men due to low demands for specialized treatment are noted. A higher prevalence of self-mutilation lesions was verified for men, affecting a wide age range, with the highest number of cases in the USA. The most affected body areas are arms and external genitalia, mostly due to knife use. An association between self-mutilation injuries and mental disorders is clear, with most cases being previously undiagnosed.

How strong is the evidence?

Evidence Hub reads this as a systematic review, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free