Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
1.
Int J Gynecol Cancer ; 31(11): 1453-1458, 2021 11.
Article in English | MEDLINE | ID: covidwho-1495505

ABSTRACT

OBJECTIVES: Twitter is the most frequently used social media platform by healthcare practitioners, at medical conferences. This study aimed to analyze Twitter conversations during the virtual International Gynecological Cancer Society 2020 conference to understand the interactions between Twitter users related to the conference. METHODS: Tweets using the hashtag '#IGCS2020' were searched using the Twitter Search Application Programming Interface (API) during the period 10-13 September 2020. NodeXL Pro was used to retrieve data. The Clauset-Newman-Moore cluster algorithm clustered users into different groups or 'clusters' based on how users interacted. RESULTS: There were 2009 registrants for the virtual IGCS 2020 conference. The total number of users within the network was 168, and there were 880 edges connecting users. Five types of edges were identified as follows: 'replies to' (n=18), 'mentions' (n=221), 'mentions in retweets' (n=375), retweets (n=198), and tweets (n=68). The most influential account was that of the IGCS account itself (@IGCSociety). The overall network shape resembled a community where distinct groups formed within the network. Our current analyses demonstrated that less than 10% of the total members interacted on Twitter. CONCLUSION: This study identified the most influential Twitter users within the '#IGCS2020' community. he results also confirmed the community network shape of the #IGCS2020 hashtag and found that the most frequent co-related words were 'ovarian' and 'cancer' (n=39).


Subject(s)
Gynecology/organization & administration , Medical Oncology/organization & administration , Social Media/statistics & numerical data , Congresses as Topic , Humans , Societies, Medical
4.
Int J Gynaecol Obstet ; 150(3): 368-378, 2020 Sep.
Article in English | MEDLINE | ID: covidwho-596853

ABSTRACT

OBJECTIVE: To determine the acceptance rate of treatment alternatives for women with either preinvasive conditions or gynecologic cancers during the COVID-19 pandemic among Latin American gynecological cancer specialists. METHODS: Twelve experts in gynecological cancer designed an electronic survey, according to recommendations from international societies, using an online platform. The survey included 22 questions on five topics: consultation care, preinvasive cervical pathology, and cervical, ovarian, and endometrial cancer. The questionnaire was distributed to 1052 specialists in 14 Latin American countries. A descriptive analysis was carried out using statistical software. RESULTS: A total of 610 responses were received, for an overall response rate of 58.0%. Respondents favored offering teleconsultation as triage for post-cancer treatment follow-up (94.6%), neoadjuvant chemotherapy in advanced stage epithelial ovarian cancer (95.6%), and total hysterectomy with bilateral salpingo-oophorectomy and defining adjuvant treatment with histopathological features in early stage endometrial cancer (85.4%). Other questions showed agreement rates of over 64%, except for review of pathology results in person and use of upfront concurrent chemoradiation for early stage cervical cancer (disagreement 56.4% and 58.9%, respectively). CONCLUSION: Latin American specialists accepted some alternative management strategies for gynecological cancer care during the COVID-19 pandemic, which may reflect the region's particularities. The COVID-19 pandemic led Latin American specialists to accept alternative management strategies for gynecological cancer care, especially regarding surgical decisions.


Subject(s)
COVID-19/therapy , Genital Neoplasms, Female/therapy , Pregnancy Complications, Neoplastic/therapy , SARS-CoV-2 , Female , Health Planning Guidelines , Humans , Hysterectomy , Latin America , Neoadjuvant Therapy , Ovarian Neoplasms/therapy , Pregnancy , Salpingo-oophorectomy , Uterine Cervical Neoplasms/therapy
SELECTION OF CITATIONS
SEARCH DETAIL