Bibliographic record
Abstract
The Emirates Oncology Conference (EOC), now in its 10th year, continues to highlight important developments in the fields of cancer prevention and treatment. The Abu Dhabi Health Services - SEHA and Tawam Hospital hosted the conference. These organizations are dedicated to offering the UAE top-tier healthcare and ongoing medical education to keep the public informed and ensure that medical experts remain up to date in their fields.The EOC featured significant sessions covering a wide range of topics with globally renowned speakers who kept the audience interested with their illuminating lectures and visual presentations. Breast cancer, hematological malignancies, palliative care, lung cancer, radiation oncology, pediatric oncology, genitourinary, gastrointestinal, and neuro-oncology were some of the topics covered.Over the course of the 3 days, there were about 4000 attendees including physicians, surgeons, researchers, healthcare professionals, and industry representatives from over 40 nations, of which 65% were from the UAE and 35% traveled from the USA, Europe, Middle East, and GCC. Approximately 150 speakers were hosted by EOC; speakers came from the USA, UK, Italy, Spain, France, Germany, Belgium, India, Pakistan, Philippines, Malaysia, Canada, and many regional nations such as Jordan, KSA, Oman, Bahrain, Lebanon, Egypt, and the UAE. In addition, more than 2 dozen abstracts were presented as oral and poster presentations, and the top 14 were chosen to be published in a medical journal as a result of EOC 2022. Selected abstracts are included herein.We are grateful to all members of the scientific and medical community, our organizing team, speakers, delegates and sponsors for their time, efforts, and contributions to making EOC one of the most important scientific events of the year.INTRODUCTION: Cervical cancer is the fourth most frequently diagnosed cancer and the fourth leading cause of cancer death in women, with an estimated 604,000 new cases and 342,000 deaths worldwide in 2020. Globally, the average age at diagnosis of cervical cancer was 53 years, ranging from 44 years to 68 years. The global average age at death from cervical cancer was 59 years, ranging from 45 years to 76 years. Cervical cancer ranked in the top three cancers affecting women younger than 45 years in 146 (79%) of 185 countries assessed. Around 85% of the global burden occurs in the less-developed regions, where cervical cancer accounts for almost 12% of all female cancers. The anatomical location, the disease extension and survival outcomes are the key factors to define the staging of disease. The treatment of the patients depends on staging and prognostic groups. Disease bulk and lymph node involvement are key prognostic factors. SCC constitutes more than 75% of all diagnosed cervical cancers however lately the incidence of adenocarcinoma has been rising6. Various histological and clinical factors such as tumor size7 parametrial invasion, cervical stromal invasion depth, LVSI, FIGO Stage, tissue histology, tumor grade, and LN metastasis are associated with survival and prognosis in cervical cancer patients. AIM: This retrospective study aimed to determine the long-term clinical outcomes and to identify the prognostic factors that impact the survival of patients with cervical cancer in the United Arab Emirates (UAE). METHODS: All patients with cervical cancer treated with concurrent Cisplatin chemotherapy and Radiotherapy followed by High dose rate brachytherapy were identified from the Tawam hospital database. Patient demographics, staging investigations, treatment details and outcomes were compiled and analyzed. Kaplan-Meier curves were used to estimate disease-free survival (DFS) rates of treated survival cancer patients, while the log-rank test was used to compare differences in DFS across categories of selected clinical and demographic factors. Ethical approval was obtained from Tawam Human Research Ethics Committee. RESULTS: Between January 2009 and December 2021, we identified 275 patients with cervical cancer meeting the inclusion criteria for this study. Patients were staged with International Federation of Gynecology and Obstetrics (FIGO) system and detailed in Tables 1 and 2. The median age of the patients was 48 years (IQR=46-64). Majority of the patients (87.6%) were at stage IIB and above. Median follow-up for the entire group was 21.4 months (IQR=7.4-40.2). The overall 5-year DFS rate was 63%. The 5-year DFS rates for Stage II, III and IVA patients were 85%, 48% and 33%, respectively [P < 0.001] (Fig 1) which is similar to the previous findings in larger trials. In other factors lymph nodes was also found to be significantly associated with DFS rates (Figs 2 and 3). CONCLUSION: This is the largest study from UAE to assess outcomes and prognostic factors for cervical cancer patients receiving radical chemo-radiotherapy. Outcomes from our cohort were comparable to published international standards. Lymph node involvement and higher FIGO stage were independent poor prognostic factors for 5-year DFS. Our findings demonstrate that concurrent chemo-radiotherapy with cisplatin and HDR brachytherapy is safe and effective treatment as per International guidelines. However, although concurrent chemo-radiotherapy is a very effective regimen for cervical cancer, newer and more effective treatment strategies may be needed for patients with poorer prognoses such as those identified in this study. Since majority of our patients were at advanced stage at diagnosis, more robust screening and awareness programs are required.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".