Corrective osteotomy for distal condylar malunion of the proximal phalanx in adolescents: comparison of K-wire and locking plate fixation.

This retrospective study reviewed 28 patients, aged 10 to 17 years, who underwent corrective osteotomy for malunion of the proximal phalangeal distal condyles at a mean of 9 weeks (range 2-52) from injury. There were 19 patients treated with K-wire and nine patients with locking plates. The two groups were comparable for trauma mechanism, fracture type, time delay from injury and the type of initial treatment. The K-wire group had a shorter duration of operation and shorter time to union than the plating group. For both groups, postoperative radiographs showed significant correction, which remained unchanged until the final follow-up (minimum 12 months), although greater residual coronal angulation was found in the K-wire group. The outcomes in 17 of the 28 patients were graded as excellent or good according to the Al-Qattan classification, with no difference between the groups. The complication rate was also similar between the groups, while the locking plate group had a higher rate of secondary surgery.Level of evidence: III.

Thematic analysis of articles on artificial intelligence with spine trauma, vertebral metastasis, and osteoporosis using chord diagrams: A systematic review and meta-analysis.

BACKGROUND: Spine trauma, vertebral metastases, and osteoporosis (SVO) can result in serious health problems. If the diagnosis of SVO is delayed, the prognosis may be deteriorated. The use of artificial intelligence (AI) is an essential method for minimizing the diagnostic errors associated with SVO. research achievements (RAs) of SVO on AI are required as a result of the greatest number of studies on AI solutions reported. The study aimed to: classify article themes using visualizations, illustrate the characteristics of SVO on AI recently, compare RAs of SVO on AI between entities (e.g., countries, institutes, departments, and authors), and determine whether the mean citations of keywords can be used to predict article citations. METHODS: A total of 31 articles from SVO on AI (denoted by T31SVOAI) have been found in Web of Science since 2018. The dominant entities were analyzed using the CJAL score and the Y-index. Five visualizations were applied to report: the themes of T31SVOAI and their RAs in comparison for article entities and verification of the hypothesis that the mean citations of keywords can predict article citations, including: network diagrams, chord diagrams, dot plots, a Kano diagram, and radar plots. RESULTS: There were five themes classified (osteoporosis, personalized medicine, fracture, deformity, and cervical spine) by a chord diagram. The dominant entities with the highest CJAL scores were the United States (22.05), the University of Pennsylvania (5.72), Radiology (6.12), and Nithin Kolanu (Australia) (9.88). The majority of articles were published in Bone, J. Bone Miner. Res., and Arch. Osteoporos., with an equal count (=3). There was a significant correlation between the number of article citations and the number of weighted keywords (F = 392.05; P < .0001). CONCLUSION: A breakthrough was achieved by displaying the characteristics of T31SVOAI using the CJAL score, the Y-index, and the chord diagram. Weighted keywords can be used to predict article citations. The five visualizations employed in this study may be used in future bibliographical studies.