Trial reportMedical science monitor : international medical journal of experimental and clinical research2020
A New Individualized Three-Dimensional Printed Template for Lateral Ankle Ligament Reconstruction.
Trial report in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Clinical applications and prospects of 3D printing guide templates in orthopaedics.Journal of orthopaedic translation · 2022Review
- The Role of 3D Printing in Planning Complex Medical Procedures and Training of Medical Professionals-Cross-Sectional Multispecialty Review.International journal of environmental research and public health · 2022Review
- 3D printing in orthopaedic surgery: a scoping review of randomized controlled trials.Bone & joint research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Anatomical reconstruction using a semitendinosus tendon autograft is one of the most widely-used techniques for chronic lateral ankle instability (CLAI), and it can result in good biomechanical recovery for patients. The purpose of this study was to investigate the outcome of a novel individualized three-dimensional printed guide template for lateral ankle ligament reconstruction compared with the traditional surgical methods. MATERIAL AND METHODS We retrospectively studied 34 patients with CLAI who required lateral ankle ligament reconstruction. Patients were randomly divided into 2 cohorts: the template group (18 patients) and the conventional group (16 patients). The average operation duration and number of radiation exposures were compared between the 2 cohorts. The displacement of anterior talar and talar tilt angle were recorded at the last follow-up, and Karlsson-Peterson score and American Orthopedic Foot and Ankle Society Score (AOFAS) were also compared. RESULTS All patients had satisfactory ankle stability at the last follow-up. The average operation duration was 51.9±3.6 min and the average number of radiation exposures was 1.34±0.6 in the template group, and the average operation duration was 72.4±12.6 min and the average number of radiation exposures was 6.58±1.7 in the conventional group. Difference between the 2 cohorts was statistically significant. However, in AOFAS (95.2±2.5 vs. 94.9±2.2; P>0.01.) and Karlsson Score (94.7±3.6 vs. 93.8±4.1; P>0.01.), no significant differences were found between the 2 cohorts. CONCLUSIONS Both the template technique and the conventional method provided satisfactory outcomes for CLAI patients. However, the shorter operation duration and low number of radiation exposures in the template cohort suggest it is the better alternative for treatment of CLAI.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.