Objective To evaluate the relationship between Twitter mentions and academic citations in otolaryngology literature. Study Design Retrospective cross-sectional analysis. Setting Altmetric Twitter mention and Google Scholar citation rosters. Methods Original research articles from 10 leading otolaryngology journals were assessed 26 months after print publication. Article Twitter mentions were tracked through the Altmetric Bookmarklet, and article citation data were determined through the Google Scholar search engine. Twitter mentions and citation metrics of articles were compared through 2-tailed t test analysis ( P < .05). Results Of all articles, 50.7% (152/300) had at least 1 Twitter mention. Of all article Twitter mentions, 25% (432/1758) happened within the first week of online publication dates, while 64% (1130/1758) occurred between online and print publication dates. Articles mentioned on Twitter had 1.6-fold more Google Scholar citations (8.6 ± 0.7, mean ± SD) than articles with no Twitter mentions (5.4 ± 0.4, P < .01). A total of 8% (24/300) of publications were tweeted by their authors. Articles self-tweeted by authors were associated with an 8.4-citation increase (14.8 ± 3.1) for Google Scholar when compared with articles not shared by their authors on Twitter (6.4 ± 0.4; 2.3-fold increase, P < .01). Conclusion Most otolaryngology articles are disseminated over Twitter, with greatest Twitter activity occurring before print publication date of articles. Citations within 2 years of release are positively associated with the number of mentions on Twitter. Article Twitter mentions may augment the academic influence of otolaryngology publications.

Background Throughout the COVID-19 pandemic, patient portals have become more widely used tools of patient care delivery. However, not all individuals have equivalent access or ability to use patient portals. Objective The aim of this study is to evaluate the relationships between eHealth literacy (eHL) and patient portal awareness, use, and attitudes among hospitalized patients. Methods Inpatients completed patient portal surveys; eHL was assessed (eHealth Literacy Scale). Multivariable logistic regression analyses adjusted for age, self-reported race, gender, and educational attainment were completed with significance at P<.006 (Bonferroni correction). Results Among 274 participants, most identified as Black (n=166, 61%) and female (n=140, 51%), mean age was 56.5 (SD 16.7) years, and 178 (65%) reported some college or higher educational attainment. One-quarter (n=79, 28%) had low eHL (mean 27, SD 9.5), which was associated with lower odds of portal access awareness (odds ratio 0.11, 95% CI 0.05-0.23; P<.001), having ever used portals (odds ratio 0.19, 95% CI 0.10-0.36; P<.001), less perceived usefulness of portals (odds ratio 0.20, 95% CI 0.10-0.38; P=.001), and lower likelihood of planning to use portals in the coming years (odds ratio 0.12, 95% CI 0.06-0.25; P<.001). As time through the COVID-19 pandemic passed, there was a trend toward increased perceived usefulness of patient portals (53% vs 62%, P=.08), but average eHL did not increase through time (P=.81). Conclusions Low eHL was associated with less awareness, use, and perceived usefulness of portals. Perceived usefulness of portals likely increased through the COVID-19 pandemic, but patients’ eHL did not. Interventions tailored for patients with low eHL could ensure greater equity in health care delivery through the COVID-19 pandemic.

ABSTRAcr 50 consecutive cases of partial seizures hospitalised over a period of 2 years, were studied. cr Scans were done once at presentation and thereafter cases were followed up with repeat cr scans to evaluate treatment response wherever a treatable cause was found. cr scan diagnosis was correlated with clinical signs and other baseline investigations including an EEG. cr scan abnormality was detected in 66% cases. Single or multiple tuberculomas were noted in 24% cases, cortical atrophy in 14% cases, focal calcification in 10%, haemorrhage in 3% and subdural effusions in 2%. With positive clinical signs, 81% of cr scans were abnormal. 20% of patients with partial seizures having no clinical signs and normal base line investigations including an EEG, had a cr scan abnormality mainly a tuberculoma. MJAFI 1994; 50: 23-26

Background and Aim: Colonic wall thickening (CWT) is commonly associated with clinically significant pathologies, but predictive factors of such pathologies are not well known. This study aims to identify the predictors of clinically significant pathologies, such as colorectal carcinoma (CRC) and inflammatory bowel disease (IBD), in patients with CWT. Methods: Subjects with an abnormal abdominal computed tomography (CT) and a follow-up colonoscopy between 2010 and 2020 were retrospectively reviewed. Patients with CWT in the CT were included and examined in this study. A multivariable logistic regression analysis was performed to assess for factors independently associated with CRC or IBD in these subjects. Receiver operating characteristic (ROC) curve analysis was used to further examine significant parameters in multivariable logistic regression analysis. Results: Among 403 patients with CWT on CT scans who underwent a colonoscopy, 269 subjects who met the inclusion criteria were identified and studied. On multivariable logistic regression models, elevated platelet count, low hematocrit, and localized CWT were found to be independently associated with CRC, while elevated platelet count and younger age were independently associated with IBD. On ROC curve analysis for CRC, area under the curve (AUC) for hematocrit, platelets, and localized CWT was 0.76, 0.75, and 0.61, respectively. On ROC curve analysis for IBD, AUC for age and platelets was 0.90 and 0.69, respectively. Conclusion: Elevated platelet count, low hematocrit, and localized CWT can be potentially used as predictors of CRC in patients with CWT. Elevated platelet count and young age can be used to predict IBD in these patients.

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