The diagnostic accuracy of large language models in screening citations in orthopaedic literatures

The diagnostic accuracy of large language models in screening citations in orthopaedic literatures - ORTHOSCREEN

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000060250

Enrollment

Registered

2026-01-06

Start date

2026-01-15

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

the musculoskeletal literature

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Ten reviewers for five SRMAs (Two main reviewers for each SRMA) will be recruited by online meeting of Japanese orthopaedic trauma association systematic review committee.The inclusion criteria for participants are as follows: (1) being a member of the systematic review committee in JOTA; (2) availability to participate in citation screening; and (3) willingness to provide informed consent.

Exclusion criteria

Exclusion criteria: We will exclude committee members who cannot give informed consent and are unavailable for citation screening.

Design outcomes

Primary

Measure	Time frame
The primary endpoint of this study is the sensitivity and specificity of LLM screening for title and abstract screening as well as full-text screening.	—

Secondary

Measure	Time frame
The secondary endpoint of this study is the time and costs for LLM screening compared to manual screening.	—

Countries

Japan

Contacts

Public ContactNatsumi Saka

Teikyo University, School of Medicine Department of Orthopaedics

natsumi613@gmail.com0339641211

Outcome results