Publications by authors named "Patel Mitesh"

Background And Objective: ERK pathway is one of the most crucial pathways in lung cancer metastasis. Targeting its pathway is decisive in lung cancer research. Thus, this study demonstrated for the first time for significant and selective anti-metastatic effects of lupeol against lung cancer A549 cells via perturbations in the ERK signaling pathway.

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Background: There is growing interest in using wearable devices to remotely monitor patient behaviors. However, there has been little evaluation of how often these technologies are used to monitor sleep patterns over longer term periods, particularly among more high-risk patients.

Objective: The goal of the research was to evaluate the proportion of time that patients with ischemic heart disease used wearable devices to monitor their sleep and identify differences in characteristics of patients with higher versus lower use.

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Background: Tectaria coadunata (T. coadunata) is an important fern species with a number of medicinal properties. It has been evidently found for its effectiveness in ethanomedicinal usage, which can also emerge as one of the most promising sources for nutraceuticals.

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Though the immunity to malaria has been associated with cellular immune responses, the exact function of the phenotypic cell population is still unclear. This study investigated the host immune responses elicited during the pre-erythrocytic stage, post- sporozoite infection in Swiss mice model. For this purpose, we analyzed the dynamics of different subsets of immune cells population and cytokine levels in the hepatic mononuclear and splenic cells population during pre-erythrocytic liver-stage infection.

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Patients with cancer are often at elevated risk for cardiovascular disease due to overlapping risk factors and cardiotoxic anticancer treatments. Their cancer diagnoses may be the predominant focus of clinical care, with less of an emphasis on concurrent cardiovascular risk management. Widely adopted technology platforms, including electronic health records and mobile devices, can be leveraged to improve the cardiovascular outcomes of these patients.

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Background: Although vestibular lesions degrade postural control we do not know the relative contributions of the magnitude of the vestibular loss and subjective vestibular symptoms to locomotor adaptation.

Objective: To study how dizzy symptoms interfere with adaptive locomotor learning.

Methods: We examined patients with contrasting peripheral vestibular deficits, vestibular neuritis in the chronic stable phase (n = 20) and strongly symptomatic unilateral Meniere's disease (n = 15), compared to age-matched healthy controls (n = 15).

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Introduction: Patients with cancer often receive care that is not aligned with their personal values and goals. Serious illness conversations (SICs) between clinicians and patients can help increase a patient's understanding of their prognosis, goals and values.

Methods And Analysis: In this study, we describe the design of a stepped-wedge cluster randomized trial to evaluate the impact of an intervention that employs machine learning-based prognostic algorithms and behavioral nudges to prompt oncologists to have SICs with patients at high risk of short-term mortality.

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Clearing agents (CAs) can rapidly remove nonlocalized targeting biomolecules from circulation for hepatic catabolism, thereby enhancing the therapeutic index (TI), especially for blood (marrow), of the subsequently administered radioisotope in any multistep pretargeting strategy. Herein we describe the synthesis and in vivo evaluation of a fully synthetic glycodendrimer-based CA for DOTA-based pretargeted radioimmunotherapy (DOTA-PRIT). The novel dendron-CA consists of a nonradioactive yttrium-DOTA-Bn molecule attached via a linker to a glycodendron displaying 16 terminal α-thio--acetylgalactosamine (α-SGalNAc) units (CCA α-16-DOTA-Y; molecular weight: 9059 Da).

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Purpose: This study aims to determine latent classes of study participants using baseline characteristics, explore the patterns within the groups, and determine whether the intervention had differential effects on weight loss across the groups.

Design: Secondary analysis of a completed randomized clinical trial.

Setting: Participants in a gamification intervention with social incentives who were recruited as pairs and given an intervention for 24 weeks.

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Background: Cellulitis can sometimes be challenging for healthcare professionals to diagnose, with no validated diagnostic criteria available. Supporting healthcare professionals to make a more accurate diagnosis of cellulitis in different groups, such as those with lymphoedema, is a cellulitis research priority. However, to the authors knowledge, no previous studies have looked at the involvement of non-healthcare professionals in the diagnostic process.

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Background: Type 2 diabetes is a significant cause of morbidity and mortality in the United States. Lifestyle modifications including increasing physical activity and losing weight have been demonstrated to improve glycemic control. However, most patients struggle to make these changes.

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Importance: Early cancer detection can lead to improved outcomes, but cancer screening tests are often underused.

Objective: To evaluate the association of an active choice intervention in the electronic health record directed to medical assistants with changes in clinician ordering and patient completion of breast and colorectal cancer screening tests.

Design, Setting, And Participants: A retrospective quality improvement study was conducted among 69 916 patients eligible for breast or colorectal cancer screening at 25 primary care practices at the University of Pennsylvania Health System between September 1, 2014, and August 31, 2017.

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Over the last few years, marine environment was found to be a source of surplus natural products and microorganisms with new bioactive secondary metabolites of interest which can divulge nutritional and biological impact on the host. This study aims to assess the possible, inherent and functional probiotic properties of a novel probiotic strain F3 ( F3) isolated from the gut of fresh water fish . Parameters for evaluating and describing the probiotics described in FAD/WHO guidelines were followed.

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Background: Despite interest in financial incentive programs, evidence regarding the feasibility, acceptability, and effectiveness of deposit contracts (ie, use of participants' own money as a financial reward) for increasing physical activity (PA) is limited. Furthermore, evidence regarding the use of feedback within incentive programs is limited.

Purpose: To evaluate: (1) the feasibility and acceptability of deposit contracts for increasing objectively measured PA and (2) the effects of deposit contracts with or without ongoing feedback on PA.

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Importance: Machine learning algorithms could identify patients with cancer who are at risk of short-term mortality. However, it is unclear how different machine learning algorithms compare and whether they could prompt clinicians to have timely conversations about treatment and end-of-life preferences.

Objectives: To develop, validate, and compare machine learning algorithms that use structured electronic health record data before a clinic visit to predict mortality among patients with cancer.

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Importance: Gamification, the use of game design elements in nongame contexts, is increasingly being used in workplace wellness programs and digital health applications. However, the best way to design social incentives in gamification interventions has not been well examined.

Objective: To assess the effectiveness of support, collaboration, and competition within a behaviorally designed gamification intervention to increase physical activity among overweight and obese adults.

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Introduction: Glomangiopericytoma is a rare neoplasm of low malignant potential. It is a rare type of haemangiopericytoma located in nasal cavity. This neoplasm has good prognosis and complete surgical excision is treatment of choice.

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Background: Hospital readmission prediction models often perform poorly. A critical limitation is that they use data collected up until the time of discharge but do not leverage information on patient behaviors at home after discharge.

Methods: PREDICT is a two-arm, randomized trial comparing ways to use remotely-monitored patient activity levels after hospital discharge to improve hospital readmission prediction models.

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