Conectar
by Yasutaka Yanagita, Kosuke Ishizuka, Daiki Yokokawa, Kiyoshi Shikino
BackgroundWith the growing volume of medical information, proficiency in utilizing clinical decision support systems (CDSSs) is increasingly important for physicians. Further, research has primarily focused on CDSSs’ accuracy for specific symptoms, diseases, and treatments, but the extent to which CDSSs contribute to the clinical reasoning process and evaluation of their output remains unclear. While Google is not a traditional CDSS, previous studies have evaluated its role as a diagnostic support tool, demonstrating its ability to assist physicians in retrieving relevant medical information and influencing diagnostic decision-making.
ObjectiveThis study aimed to assess whether using Google search can enhance diagnostic accuracy and confidence among medical students, and to evaluate how the interpretation of search results influences their diagnostic confidence.
MethodsForty-eight fifth-year medical students in clinical clerkship at Chiba University Hospital were presented with ten clinical scenarios in text format. Initially, they provided the most likely diagnosis without assistance and recorded their confidence levels. Subsequently, they used Google search to revisit their diagnoses and confidence levels, using a 7-point Likert Scale. Focus group interviews were conducted to discuss changes in confidence, and the interviews were analyzed qualitatively using content analysis. A mixed-methods analysis compared the average number of correct diagnoses and confidence levels before and after using Google search.
ResultsIn total, 470 responses from 48 fifth-year medical students were evaluated after excluding 10 inappropriate responses. Correct diagnoses increased from an average of 63.6% without assistance to 76.2% using Google search (P P Conclusions
This study underscores the value of using Google search in medical education to enhance diagnostic skills and confidence. The improvement in accuracy and confidence among students demonstrates the supportive role of Google search in clinical reasoning and education. This highlights the need for educators to teach discernment in information analysis to ensure optimal use of CDSS in medical training. Proper integration of these tools is crucial for developing future physicians capable of effectively navigating vast amounts of medical data.
Traumatic brain injury (TBI) often causes permanent neurological dysfunction. Although no medication has been validated yet to prevent secondary injury of brain tissue, recent animal studies have reported that perampanel, a glutamine receptor antagonist, could improve the neurological functions of animals with TBI by mitigating the abnormal calcium influx and cell death around the site of primary injury. The present study aims to elucidate the efficacy of perampanel administration in improving the neurological function of patients with TBI.
The perampanel for alleviation of secondary injury in TBI trial is a multicentre, phase-II, open-label randomised controlled trial targeting patients with mild-to-moderate TBI. This trial will include adult TBI patients with a Glasgow Coma Scale score of 9–14 from five tertiary centres. Patients with epilepsy as a comorbidity, delayed presentation of symptoms (>24 hours after injury) or Injury Severity Score of ≥25 will be excluded. The study participants will be randomly assigned to either the perampanel group (2 mg/day) or the control group (fosphenytoin administered at a dose of 15–18 mg/kg/day, followed by 5–7.5 mg/kg/day of fosphenytoin). In both groups, the medication will be initiated within 12 hours of the TBI diagnosis and continued for 7 days. The antiepileptic drugs can be increased, changed or added as necessary if early post-traumatic seizures are observed. The primary outcome is favourable neurological outcome, defined as a Glasgow Outcome Scale Extended score of ≥5 at 90 days after the TBI diagnosis, which will then be compared between the groups through an intention-to-treat analysis.
The present study has been approved by the Certified Review Board of Keio at the principal institution (approval number: N20240004). Written informed consent will be obtained from all participants or their legal representatives. The results will be disseminated via publications and presentations.
Japan Registry of Clinical Trials (jRCTs031250067).
Trauma and orthopaedic surgery (TOS) can result in surgical site infections (SSIs), and the repercussions include prolonged and increased cost of treatment. This study investigated the incidence and risk factors of SSI following TOS. A prospective cohort study was conducted at the Tamale Teaching Hospital from September 2023 to May 2024. Data on demographics, comorbidities, preoperative, intra-operative and postoperative parameters were collected from patients, medical records and the operation report. SSI was defined following the Centers for Disease Control and Prevention criteria. The incidence of SSI during the study period was determined, and univariate and multivariate logistic regression analyses were used to identify the independent risk factors of SSI. A total of 210 patients were enrolled of which 6.7% (14) developed SSIs, including 1.0% (2) deep and 5.7% (12) superficial SSIs. The incidence of open fractures and closed fractures in this study was 3.3% (7) and 2.9% (6), respectively. According to multivariate regression analysis, blood transfusion before surgery (p = 0.034; OR = 3.53; 1.10–11.33) was identified as an independent risk factor of SSI following TOS. However, there was a significant association between the type of dressing used on the surgical site after surgery (p = 0.035; OR = 4.08; 1.10–15.08) and SSI. The study reported the overall incidence rate of SSI after TOS to be 6.7% (67 per 1000 surgical operations). Blood transfusion before surgery was an independent risk factor of SSI following TOS. Local and global measures that limit the rates of SSI after TOS should be adopted especially in managing high-risk patients such as those who require pre-operative blood transfusion.
FreshRSS 