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The Journal of hand surgery

April 2, 2026 · via Europe PMC

Talk Through the Hand: Upper-Extremity Injury and Surgical Considerations in Sign Language Users.

Uriarte SA, Nguyen J, Mansour A, Persad EM, Rao V, Bhatt RA.

ReviewAbstract only — full text under license

AI summary — for doctors, generated from the abstract only

Hand surgeons treating sign language users must weigh communication function when choosing treatments.

What was studied

Narrative review.

Key findings

  • There are about 7 million signers in the US, one million deaf or hard-of-hearing
  • Upper-extremity impairment can impair communication
  • Treatment choices should minimise disruption

Clinical relevance

Consider function for signing, such as finger and wrist motion.

Who should care

General SurgeryHand Surgery

Limitations

Opinion/review without data.

Ask about signing and tailor treatment.

This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.

Abstract

Sign language is a predominant form of nonverbal communication in the United States with 7 million signers nationally, one million of which are deaf or hard-of-hearing. This population is particularly vulnerable to impaired communication when confronting upper-extremity impairment resulting from extensive long-term use in their communication. Given the high importance of adequate upper-extremity mobility for sign language users, hand surgeons must carefully choose the appropriate treatment modalities to minimize disruptions in this population's ability to communicate in their daily lives. This article provides important background and clinical considerations when working with such patients.

DOI

10.1016/j.jhsa.2026.02.024

PMID

41925674

Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.

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