Our results identified that HNRNPA1 is the best diagnostic marker among the SFs and conventional markers given its excellent diagnostic efficacy for cervical carcinoma, and it has a p16-comparable diagnostic value. We suggest that HNRNPA1 is an additional effective target protein for developing cervical cancer detection tools.

With increasing demands for medical care by society, the medical system, and general citizens and rapid changes in doctor’s awareness, the competencies required of doctors are also changing. The goal of this study was to develop a doctor’s competency framework from the patient’s perspective, and to make it the basis for the development of milestones and entrustable professional activities for each period of medical student education and resident training. To this end, a big data analysis using topic modeling was performed on domestic and international research papers (2011–2020), domestic newspaper articles (2016–2020), and domestic social networking service data (2016–2020) related to doctor’s competencies. Delphi surveys were conducted twice with 28 medical education experts. In addition, a survey was conducted on doctor’s competencies among 1,000 citizens, 407 nurses, 237 medical students, 361 majors, and 200 specialists. Through the above process, six core competencies, 16 sub-competencies, and 47 competencies were derived as subject-oriented doctor’s competencies. The core competencies were: (1) competency related to disease and health as an expert; (2) competency related to patients as a communicator; (3) competency related to colleagues as a collaborator; (4) competency related to society as a health care leader (5) competency related to oneself as a professional, and (6) competency related to academics as a scholar who contributes to the development of medicine.

We use the concept of the “doctor’s role” as a guideline for developing medical education programs for medical students, residents, and doctors. Therefore, we should regularly reflect on the times and social needs to develop a clear sense of that role. The objective of the present study was to understand the knowledge structure related to doctor’s job competencies in Korea. We analyzed research trends related to doctor’s job competencies in Korea Citation Index journals using text network analysis through an integrative approach focusing on identifying social issues. We finally selected 1,354 research papers related to doctor’s job competencies from 2011 to 2020, and we analyzed 2,627 words through data pre-processing with the NetMiner ver. 4.2 program (Cyram Inc., Seongnam, Korea). We conducted keyword centrality analysis, topic modeling, frequency analysis, and linear regression analysis using NetMiner ver. 4.2 (Cyram Inc.) and IBM SPSS ver. 23.0 (IBM Corp., Armonk, NY, USA). As a result of the study, words such as “family,” “revision,” and “rejection” appeared frequently. In topic modeling, we extracted five potential topics: “topic 1: Life and death in medical situations,” “topic 2: Medical practice under the Medical Act,” “topic 3: Medical malpractice and litigation,” “topic 4: Medical professionalism,” and “topic 5: Competency development education for medical students.” Although there were no statistically significant changes in the research trends for each topic over time, it is nonetheless known that social changes could affect the demand for doctor’s job competencies.