scholarly journals Fitting Parametric and Semi-parametric Conditional Poisson Regression Models with Cox’s Partial Likelihood in Self-controlled Case Series and Matched Cohort Studies

2021 ◽  
Vol 8 (2) ◽  
pp. 349-360
Author(s):  
Stanley Xu ◽  
Paul Gargiullo ◽  
John Mullooly ◽  
David McClure ◽  
Simon J. Hambidge
Author(s):  
Dafina Petrova ◽  
Marina Pollán ◽  
Miguel Rodriguez-Barranco ◽  
Dunia Garrido ◽  
Josep M. Borrás ◽  
...  

Abstract Background The patient interval—the time patients wait before consulting their physician after noticing cancer symptoms—contributes to diagnostic delays. We compared anticipated help-seeking times for cancer symptoms and perceived barriers to help-seeking before and after the coronavirus pandemic. Methods Two waves (pre-Coronavirus: February 2020, N = 3269; and post-Coronavirus: August 2020, N = 1500) of the Spanish Onco-barometer population survey were compared. The international ABC instrument was administered. Pre–post comparisons were performed using multiple logistic and Poisson regression models. Results There was a consistent and significant increase in anticipated times to help-seeking for 12 of 13 cancer symptoms, with the largest increases for breast changes (OR = 1.54, 95% CI 1.22–1–96) and unexplained bleeding (OR = 1.50, 1.26–1.79). Respondents were more likely to report barriers to help-seeking in the post wave, most notably worry about what the doctor may find (OR = 1.58, 1.35–1.84) and worry about wasting the doctor’s time (OR = 1.48, 1.25–1.74). Women and older individuals were the most affected. Conclusions Participants reported longer waiting times to help-seeking for cancer symptoms after the pandemic. There is an urgent need for public interventions encouraging people to consult their physicians with symptoms suggestive of cancer and counteracting the main barriers perceived during the pandemic situation.


2021 ◽  
Vol 215 ◽  
pp. 288-318
Author(s):  
Youssef Kassem ◽  
Hüseyin Gökçekuş

Breast Care ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. 129-132 ◽  
Author(s):  
Susan R. Harris

The purpose of this review is to define axillary web syndrome (AWS) and describe its diagnosis and management. The following databases were searched through July 2017: PubMed, EMBASE (OvidSP), Cumulative Index for Nursing and Allied Health Literature, Physiotherapy Evidence Database, and Cochrane Database of Systematic Reviews. Search terms included ‘axillary web syndrome', ‘axillary cording', and ‘lymphatic cording'. 49 articles were identified; 8 did not relate to breast cancer, and 3 were not in English. Of the remaining articles, the majority were case reports, case series, or descriptive reviews. 2 systematic reviews were located as well as 1 randomized trial, 6 prospective cohort studies, and 2 retrospective cohort studies. Although a common sequela after axillary surgery for breast cancer staging, AWS has been poorly described in the medical literature as to the underlying pathophysiology, diagnosis, and management. Interventions range from patient education and simple reassurance that the syndrome will resolve spontaneously to active physical or manual therapies to maintain upper extremity range-of-motion, especially adequate motion for undergoing radiation therapy. Oncologists, breast surgeons, family physicians, and oncology nurse practitioners that work with patients with breast cancer should educate them about this prevalent complication and inform them preoperatively about what to anticipate.


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