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The Translation of Surgical Animal Models to Human Clinical Research: A Cross-Sectional Study

Yongle Ruan, N. Robinson, Faiza M. Khan, I. Hameed, M. Rahouma, A. Naik, Christian T. Oakley, L. Rong et al.

International Journal of Surgery, 2020

23 citations

Abstract

BACKGROUND

Surgical animal models are used in pre-clinical scientific studies. To date there has not been an analysis of how effective these data are when translated to human/clinical research. In this retrospective review, we evaluate the impact of studies using surgical animal models on human/clinical research through study-level analysis of citations.

METHODS

The top two ranking clinical journals based on impact factor for the top ten surgical specialties were identified and a search was run on PubMed to identify studies using surgical animal models published in the years 2007 and 2008. The translation to human/clinical research of each study was evaluated by analyzing the frequency of citation in human studies over the ten years following publication. Regression was used to identify predictors of citation in human/clinical research.

RESULTS

411 animal studies using surgical models were identified. Over the course of the 10 years following publication the original animal studies were cited 6,063 times, with 1,300 (21.4%) citations in human/clinical studies and 4,763 (78.6%) in animal/basic science studies. The median number of citations in human/clinical research was 1 (IQR 0-5). Regression showed an association between citation in human/clinical research and the use of porcine models and the specialties of general surgery, oral and maxillofacial surgery, orthopedic surgery, transplant, and plastic surgery.

CONCLUSION

The use of animal models in surgical research shows…

How strong is the evidence?

Evidence Hub reads this as a review, done in animal, not 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.

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