Evidence Hub

Anterior clamp-assisted reduction for retrograde nailing of infra-isthmic femoral fractures: technique and preliminary results on a short case series

Ana Van-Breukelen-García, Marina Sabater-Jofre, Jordi Teixidor-Serra, J. Tomás-Hernández, J. Selga-Marsá, C. Piedra-Calle, Ferran Blasco-Casado, Y. García-Sánchez et al.

Trauma Case Reports, 2026

1 citation

Abstract

Infra-isthmal femoral fractures in elderly patients are difficult to stabilize due to the broad metaphyseal anatomy. In the absence of consensus on optimal management, this study assesses a minimally invasive technique combining anterior clamp-assisted reduction with retrograde intramedullary nailing. A retrospective case series was conducted on ten patients treated between January 2023 and April 2024. All underwent percutaneous fracture reduction via a limited anterior approach, followed by retrograde nailing. The mean patient age was 84.9 ± 6.2 years. All fractures were caused by low-energy trauma. Six involved native bone and four were periprosthetic. All cases progressed to union without infection or wound complications. One peri-implant fracture occurred at the proximal tip of the nail and was successfully treated with overlapping plate fixation. This technique was safe and effective for infra-isthmal spiral femoral fractures in elderly, frail patients. It allowed accurate reduction, minimized soft tissue disruption, and resulted in reliable fracture healing.

How strong is the evidence?

Evidence Hub reads this as a case series, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

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