Background Breast cancer is the most common malignancy in women, affecting over 1.5 million women every year, which accounts for the highest number of cancer-related deaths in women globally. Hereditary breast cancer (HBC), an important subset of breast cancer, accounts for 5–10% of total cases. However, in Low Middle-Income Countries (LMICs), the population-specific risk of HBC in different ethnicities and the correlation with certain clinical characteristics remain unexplored. Methods Retrospective chart review of patients who visited the HBC clinic and proceeded with multi-gene panel testing from May 2017 to April 2020. Descriptive and inferential statistics were used to analyze clinical characteristics of patients. Fisher’s exact, Pearson’s chi-squared tests and Logistic regression analysis were used for categorical variables and Wilcoxon rank-sum test were used for quantitative variables. For comparison between two independent groups, Mann-Whitney test was performed. Results were considered significant at a p value of < 0.05. Results Out of 273 patients, 22% tested positive, 37% had a VUS and 41% had a negative genetic test result. Fifty-five percent of the positive patients had pathogenic variants in either BRCA1 or BRCA2, while the remaining positive results were attributed to other genes. Patients with a positive result had a younger age at diagnosis compared to those having a VUS and a negative result; median age 37.5 years, IQR (Interquartile range) (31.5–48). Additionally, patients with triple negative breast cancer (TNBC) were almost 3 times more likely to have a positive result (OR = 2.79, CI = 1.42–5.48 p = 0.003). Of all patients with positive results, 25% of patients had a negative family history of breast and/or related cancers. Conclusions In our HBC clinic, we observed that our rate of positive results is comparable, yet at the higher end of the range which is reported in other populations. The importance of expanded, multi-gene panel testing is highlighted by the fact that almost half of the patients had pathogenic or likely pathogenic variants in genes other than BRCA1/2, and that our test positivity rate would have only been 12.8% if only BRCA1/2 testing was done. As the database expands and protocol-driven referrals are made across the country, our insight about the genetic architecture of HBC in our population will continue to increase.

ObjectivesThis study aimed to determine the change in anatomical location of appendix in full-term pregnancy.Study designThis was a descriptive cross-sectional study.Place and duration of studyLiaquat National University Hospital, Karachi, Pakistan, Department of General Surgery, January 01 to July 31, 2010.Patients and methodsFull-term pregnant women undergoing caesarean section were enrolled. The anatomical position of the appendix was noted by visual inspection with reference to the transtubercular plane (TTP). SPSS-10 was used for analysis.ResultsSeventy-seven full-term pregnant female patients who underwent caesarean section were included in the study. Their mean age was 29 years, the mean height was 5.3 feet, and mean gestational age was 38 weeks. Appendix was found at the normal anatomical location in 63 out of 77 patients (81.8%), while it was located above the TTP in 14 patients (18.2%).ConclusionAppendix does not migrate up with increasing gestational age in the majority of pregnant women. In most full-term pregnant female patients, appendix is located at the normal anatomical position.

Objectives: To assess the immediate effect of TEAM® on trauma related knowledge of undergraduate medical students and to highlight the stakeholders’ acceptability of TEAM® for trauma training of undergraduate medical students Methods: Effectiveness of TEAM® course in terms of knowledge gain was assessed using 20-item-MCQs at three different timings to three cohorts of medical students from year 2017 (Group A), 2018 (Group B) and 2019 (Group C). Group A attempted the test after traditional teaching in wards, Group B attempted it after reading books and videos of TEAM®, along with traditional trauma teaching. Finally Group C attempted the test after TEAM® course along with videos and books. Students and faculty also filled evaluation questionnaire for their acceptability assessment. Kruskal-Wallis Test was applied for comparison between scores of the three groups. The evaluation questionnaire of students as well as for faculty was evaluated by determining frequencies and percentages. Results: A statistically significant difference is found after comparing the scores of the three groups (p< 0.00). More than 85% of the students were of a view that this course would help in their future practice and application. Similarly, 80% of the faculty would prefer to be involved in TEAM® teaching in future. Conclusion: There is an improvement in trauma cognitive knowledge, after the TEAM® program. Students and faculty strongly supported its introduction in the undergraduate curriculum and hence acceptable to both. doi: https://doi.org/10.12669/pjms.36.6.2588 How to cite this:Soomro R, Ali S. Trauma Evaluation and Management TEAM® course for medical students in Pakistan. Pak J Med Sci. 2020;36(6):---------. doi: https://doi.org/10.12669/pjms.36.6.2588 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PURPOSE Natural language processing (NLP) techniques have been adopted to reduce the curation costs of electronic health records. However, studies have questioned whether such techniques can be applied to data from previously unseen institutions. We investigated the performance of a common neural NLP algorithm on data from both known and heldout (ie, institutions whose data were withheld from the training set and only used for testing) hospitals. We also explored how diversity in the training data affects the system’s generalization ability. METHODS We collected 24,881 breast pathology reports from seven hospitals and manually annotated them with nine key attributes that describe types of atypia and cancer. We trained a convolutional neural network (CNN) on annotations from either only one (CNN1), only two (CNN2), or only four (CNN4) hospitals. The trained systems were tested on data from five organizations, including both known and heldout ones. For every setting, we provide the accuracy scores as well as the learning curves that show how much data are necessary to achieve good performance and generalizability. RESULTS The system achieved a cross-institutional accuracy of 93.87% when trained on reports from only one hospital (CNN1). Performance improved to 95.7% and 96%, respectively, when the system was trained on reports from two (CNN2) and four (CNN4) hospitals. The introduction of diversity during training did not lead to improvements on the known institutions, but it boosted performance on the heldout institutions. When tested on reports from heldout hospitals, CNN4 outperformed CNN1 and CNN2 by 2.13% and 0.3%, respectively. CONCLUSION Real-world scenarios require that neural NLP approaches scale to data from previously unseen institutions. We show that a common neural NLP algorithm for information extraction can achieve this goal, especially when diverse data are used during training.

Inflammatory conditions play part in the progression of malignancies, and markers signifying growth of these factors can indicate prognosis. Neutrophil-to-lymphocyte (NLR) is used as a marker of subclinical inflammation that may become an integral part of workup to indicate prognosis and associated pathology. This study aims to explore the association of NLR ratio with clinical characteristics, radiological assessment and staging, histopathology, and disease outcomes of breast cancer. A retrospective cohort study was conducted in a tertiary care center to include breast cancer patients that were diagnosed between January 2001 and December 2020. Data including tumor size, lymph nodes, metastasis, histological grading, ER/PR/HER2-neu status, molecular subtypes, clinical staging); nodal findings (sentinel and axillary); pathology from frozen section; and disease outcomes were assessed. Multivariable regression and Kaplan-Meier survival curves were employed to indicate the association of NLR with breast cancer features and disease-free survival. A total of 2050 patients had a median age of 50 years, median NLR levels of 2.14, most common pathology ductal followed by lobular, and most common site of metastasis being lungs followed by bones. Disease-free rate was 7.6%, and a recurrence rate of 1.8%, while 1.6% deaths were reported. NLR was found associated with age, treatment outcomes, tumor size, lymph nodes, metastasis and clinical staging. Other positive correlations were with Ki67 proliferation index, molecular subtypes, and tumor size on frozen section (at transverse and craniocaudal dimensions). Negative correlations were seen with estrogen and progesterone receptors. However, NLR was not found predictable of disease-free survival (P = .160). Significant predictors of disease-free survival were histological grading, ER, PR status, molecular subtype, and Ki67 proliferation index. NLR being a readily available marker has shown novel findings in its association with tumor staging, disease outcomes and characteristics of breast malignancy.