scholarly journals Real world evidence of long-term benefits from allergen-specific immunotherapy (AIT)

2022 ◽  
Vol 13 ◽  
pp. 100283
Author(s):  
Guy Scadding
Author(s):  
Benedikt Fritzsching ◽  
Marco Contoli ◽  
Celeste Porsbjerg ◽  
Sarah Buchs ◽  
Julie Rask Larsen ◽  
...  

2011 ◽  
Vol 32 (2) ◽  
pp. 142-150 ◽  
Author(s):  
Petr Panzner ◽  
Mark Petráš ◽  
Tomáš Sýkora ◽  
Ivana Králová Lesná ◽  
Martin Liška

2017 ◽  
Vol 131 (11) ◽  
pp. 997-1001 ◽  
Author(s):  
E Sahin ◽  
D Dizdar ◽  
M E Dinc ◽  
A A Cirik

AbstractBackground:Allergic rhinitis is strongly associated with the presence of house dust mites. This study investigated the long-term effects of allergen-specific immunotherapy. Allergen-specific immunotherapy was applied over three years. The study was based on a 10-year follow up of patients with allergic rhinitis.Methods:The study was conducted between 2001 and 2015. Skin prick test results and symptom scores were evaluated before (26 patients) and after 3 years (20 patients) of allergen-specific immunotherapy (using data from a previously published study), and 10 years after allergen-specific immunotherapy had ended (20 of 26 patients).Results:The symptom scores before allergen-specific immunotherapy were significantly higher than those obtained after 3 years of allergen-specific immunotherapy and 10 years after allergen-specific immunotherapy (p < 0.0175). There were no significant differences between the scores obtained at 3 years and 10 years after allergen-specific immunotherapy (p > 0.0175).Conclusion:Subcutaneous immunotherapy is an effective treatment for house dust mite induced allergic rhinitis.


Diabetes Care ◽  
2017 ◽  
Vol 41 (1) ◽  
pp. 69-78 ◽  
Author(s):  
Olga Montvida ◽  
Jonathan Shaw ◽  
John J. Atherton ◽  
Frances Stringer ◽  
Sanjoy K. Paul

2021 ◽  
Author(s):  
Jason Douglas Edward Proulx ◽  
Julia W. Van de Vondervoort ◽  
Kiley Hamlin ◽  
John Helliwell ◽  
Lara Beth Aknin

Numerous laboratory studies suggest that engaging in prosocial action predicts greater psychological well-being, yet little work has examined whether kids (aged 5–12) experience these benefits in real-world community settings. In Study 1, we surveyed 24/25 students who completed their entire Grade 6 curriculum in a long-term care home alongside residents called “Elders.” We found that the meaning that kids derived from interacting with the Elders strongly predicted greater psychological well-being. In Study 2, we conducted a pre-registered field experiment with 238 kids who were randomly assigned to package essential items for disadvantaged children who were either demographically similar or dissimilar to them. Kids self-reported their happiness both pre- and post-intervention. While happiness increased from pre- to post-intervention, this change did not differ for kids who helped a similar or dissimilar recipient. These studies offer real-world evidence that engaging in prosocial action—over an afternoon or year—may enhance kids’ psychological well-being.


2021 ◽  
Author(s):  
Kyrian Ezendu ◽  
Askal Ali

BACKGROUND With the explosion of web 2.0 technology, patients have taken to the internet to share experiences about their health conditions and treatments. Online drug review portals currently allow patients to their experiences with drugs they used in managing their conditions. These data sources could be harnessed for patient-reported real-world evidence to understand the impact of drugs on the users. OBJECTIVE To understand patients’ opinions about long-term AOMs (phentermine-topiramate, orlistat, naltrexone-bupropion, lorcaserin, and liraglutide) through online patient-posted user reviews. To determine the frequency of occurrence of key obesity treatment outcomes and build a multi-label classification model for detecting key obesity outcome topics. METHODS We crawled drug.com, askaapatient.com, webmd.com, druglib.com, and extracted reviews posted by the users of long-term AOMs about their experience with the drugs. Next, we carried out a generic lexicon-based document-level sentiment analysis by matching the words in the reviews of each AOM with their polarity classes in the sentiment dictionary. We then calculated the scaled sentiment score to measure how averagely positive the patient’s opinion is towards the drugs. The frequencies of occurrence of weight, adverse effect, glycemic, blood pressure, lipidemic outcome topics in the posted reviews were analyzed. A Multi-label classification model for classifying obesity outcome related topics was built and tested. RESULTS Patients expressed the most positive opinion for lorcaserin with a scaled sentiment score of 0.139, followed by phentermine-topiramate with scaled sentiment score of 0.04. Orlistat and naltrexone-bupropion had scaled-sentiment scores of -0.008 and -0.02 respectively. Having a scaled sentiment score -0.036, liraglutide was the most negatively appraised long-term AOM by patients’ reviews. Comparing the frequency of occurrence of weight and cardiometabolic topic in the reviews, weight loss outcome was the dominant topic, occurring in 1585 reviews, adverse effect topic occurred in 1273 reviews, glycemic outcome topic occurred in 92 reviews, blood pressure outcome topic occurred in 72 reviews, lipidemic outcome topic occurred in 48 reviews and topic on pulse outcome occurred in 31 reviews. The Multi-label classification model trained with the patient-posted AOM reviews has F1 score of 0.98, 0.55, 0.67, 0.80, and 0.67 in predicting AOM-related weight loss, adverse effect, , glycemic, blood pressure, lipidemic and pulse topics respectively in free text form. CONCLUSIONS Sentiment analysis of patient-posted long-term AOM reviews could be useful in understanding patient‘s experience with long-term AOMs. Despite having being withdrawn for the market, lorcaserin was the most positively appraised long-term AOM followed by phentermine-topiramate, orlistat, naltrexone-bupropion, and liraglutide. The users of AOMs commented most on the weight and safety (adverse effects) outcomes of AOMs than cardio-metabolic outcomes of their treatments. Classification model trained with patient posted AOM reviews had a good performance in detecting efficacy and safety signals occurring in text documents. sentiments/opinions formed by obese and overweight patients from their experience with long-term AOMs could be used in demonstrating the values of the medications, as part of patient-reported real-world evidence.


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