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  1. Article ; Online: Introducing the Fellows' Corner: Fostering Early Career Voices in Healthcare.

    Tariq, Raseen / Islam, Bianca

    Inflammatory bowel diseases

    2024  

    Language English
    Publishing date 2024-01-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 1340971-2
    ISSN 1536-4844 ; 1078-0998
    ISSN (online) 1536-4844
    ISSN 1078-0998
    DOI 10.1093/ibd/izad306
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4530: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Machine Learning and Radiomics: Changing the Horizon of Crohn's Disease Assessment.

    Tariq, Raseen / Dilmaghani, Saam

    Inflammatory bowel diseases

    2023  

    Language English
    Publishing date 2023-11-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 1340971-2
    ISSN 1536-4844 ; 1078-0998
    ISSN (online) 1536-4844
    ISSN 1078-0998
    DOI 10.1093/ibd/izad284
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4530: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: Home-based Biologic Infusions for Inflammatory Bowel Disease: Are We Ready for Prime Time?

    Tariq, Raseen / Loftus, Edward V

    Inflammatory bowel diseases

    2023  

    Language English
    Publishing date 2023-10-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 1340971-2
    ISSN 1536-4844 ; 1078-0998
    ISSN (online) 1536-4844
    ISSN 1078-0998
    DOI 10.1093/ibd/izad240
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4530: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: Artificial Intelligence-Powered Patient Education for Comprehensive and Individualized Understanding for Patients.

    Tariq, Raseen / Khanna, Sahil

    Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association

    2023  

    Language English
    Publishing date 2023-11-07
    Publishing country United States
    Document type Letter
    ZDB-ID 2119789-1
    ISSN 1542-7714 ; 1542-3565
    ISSN (online) 1542-7714
    ISSN 1542-3565
    DOI 10.1016/j.cgh.2023.10.027
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 5836: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  5. Article: Durability and outcomes of fecal microbiota transplantation for recurrent Clostridioides difficile infection in patients with moderate to severe inflammatory bowel disease.

    Tariq, Raseen / Loftus, Edward V / Pardi, Darrell / Khanna, Sahil

    Intestinal research

    2024  

    Language English
    Publishing date 2024-01-09
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 3018469-1
    ISSN 2288-1956 ; 1598-9100
    ISSN (online) 2288-1956
    ISSN 1598-9100
    DOI 10.5217/ir.2023.00100
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Evolving Landscape of Large Language Models: An Evaluation of ChatGPT and Bard in Answering Patient Queries on Colonoscopy.

    Tariq, Raseen / Malik, Sheza / Khanna, Sahil

    Gastroenterology

    2023  Volume 166, Issue 1, Page(s) 220–221

    MeSH term(s) Humans ; Colonoscopy ; Artificial Intelligence
    Language English
    Publishing date 2023-08-26
    Publishing country United States
    Document type Letter
    ZDB-ID 80112-4
    ISSN 1528-0012 ; 0016-5085
    ISSN (online) 1528-0012
    ISSN 0016-5085
    DOI 10.1053/j.gastro.2023.08.033
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ui V Zs.44: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 572: Show issues

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  7. Article: Resolution rates in clinical trials for microbiota restoration for recurrent

    Tariq, Raseen / Pardi, Darrell S / Khanna, Sahil

    Therapeutic advances in gastroenterology

    2023  Volume 16, Page(s) 17562848231174293

    Abstract: Background: Microbiota restoration is highly effective to treat recurrent : Objectives: To perform an updated meta-analysis to assess the efficacy of microbiota restoration for recurrent CDI in open-label registered prospective clinical trials ... ...

    Abstract Background: Microbiota restoration is highly effective to treat recurrent
    Objectives: To perform an updated meta-analysis to assess the efficacy of microbiota restoration for recurrent CDI in open-label registered prospective clinical trials compared to randomized controlled trials (RCTs).
    Design: A systematic review and meta-analysis was conducted.
    Data sources and methods: A systematic search of various databases was performed up to July 2022 to identify studies of interest. Clinical trials of microbiota restoration for recurrent CDI with clinical resolution with one dose were included. We calculated weighted pooled rates (WPRs) with 95% confidence intervals (CIs).
    Results: In all, 19 clinical trials with 1176 recurrent CDI patients were included. Of the patients treated with microbiota restoration, 897 experienced a clinical cure with a single microbiota restoration therapy (WPR, 78%; 95% CI, 71-85%). There was significant heterogeneity among studies with an
    Conclusions: Microbiota restoration in a randomized controlled setting leads to lower resolution rates compared to open label and observational settings, likely due to stricter definitions and inclusion criteria. Resolution rates in open-label studies were similar to observational studies.
    Language English
    Publishing date 2023-05-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2440710-0
    ISSN 1756-2848 ; 1756-283X
    ISSN (online) 1756-2848
    ISSN 1756-283X
    DOI 10.1177/17562848231174293
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Reduction in urinary tract infections in patients treated with fecal microbiota transplantation for recurrent Clostridioides difficile infection.

    Tariq, Raseen / Tosh, Pritish K / Pardi, Darrell S / Khanna, Sahil

    European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology

    2023  Volume 42, Issue 8, Page(s) 1037–1041

    Abstract: We performed an updated study to investigate the rates of urinary tract infections (UTIs) in patients with recurrent Clostridioides difficile infection (CDI) who received fecal microbiota transplantation (FMT) for CDI. We found a significant reduction in ...

    Abstract We performed an updated study to investigate the rates of urinary tract infections (UTIs) in patients with recurrent Clostridioides difficile infection (CDI) who received fecal microbiota transplantation (FMT) for CDI. We found a significant reduction in number of UTIs after FMT compared to patients who received antibiotics for CDI treatment. After FMT, we also observed a trend towards reduction of antibiotic resistance in organisms causing UTI.
    MeSH term(s) Humans ; Fecal Microbiota Transplantation/adverse effects ; Clostridioides difficile ; Treatment Outcome ; Recurrence ; Clostridium Infections/microbiology ; Urinary Tract Infections/therapy ; Urinary Tract Infections/etiology
    Language English
    Publishing date 2023-06-23
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 603155-9
    ISSN 1435-4373 ; 0934-9723 ; 0722-2211
    ISSN (online) 1435-4373
    ISSN 0934-9723 ; 0722-2211
    DOI 10.1007/s10096-023-04635-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1732: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  9. Article ; Online: Machine Learning-based Prediction Models for C difficile Infection: A Systematic Review.

    Tariq, Raseen / Malik, Sheza / Redij, Renisha / Arunachalam, Shivaram / Faubion, William A / Khanna, Sahil

    Clinical and translational gastroenterology

    2024  

    Abstract: Background: Despite research efforts, predicting Clostridioides difficile incidence and its outcomes remains challenging. This systematic review aimed to evaluate the performance of machine-learning (ML) models in predicting CDI incidence and ... ...

    Abstract Background: Despite research efforts, predicting Clostridioides difficile incidence and its outcomes remains challenging. This systematic review aimed to evaluate the performance of machine-learning (ML) models in predicting CDI incidence and complications using clinical data from electronic health records.
    Methods: We conducted a comprehensive search of databases (OVID, Embase, MEDLINE ALL, Web of Science, and Scopus) from inception up to September 2023. Studies employing ML techniques for predicting CDI or its complications were included. The primary outcome was the type and performance of ML models assessed using the area under the receiver operating characteristic curve (AUROC).
    Results: Twelve retrospective studies that evaluated CDI incidence and/or outcomes were included. The most common used ML models were random forest and Gradient Boosting. The AUROC ranged from 0.60 to 0.81 for predicting CDI incidence, 0.59 to 0.80 for recurrence, and 0.64 to 0.88 for predicting complications. Advanced ML models demonstrated similar performance to traditional logistic regression. However, there was notable heterogeneity in defining CDI and the different outcomes, including incidence, recurrence, and complications, and a lack of external validation in most studies.
    Conclusion: ML models show promise in predicting CDI incidence and outcomes. However, the observed heterogeneity in CDI definitions and the lack of real-world validation highlight challenges in clinical implementation. Future research should focus on external validation and the use of standardized definitions across studies.
    Language English
    Publishing date 2024-04-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2581516-7
    ISSN 2155-384X ; 2155-384X
    ISSN (online) 2155-384X
    ISSN 2155-384X
    DOI 10.14309/ctg.0000000000000705
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Management of Hepatorenal Syndrome: A Review.

    Tariq, Raseen / Singal, Ashwani K

    Journal of clinical and translational hepatology

    2020  Volume 8, Issue 2, Page(s) 192–199

    Abstract: Acute kidney injury (AKI) occurs frequently in patients with cirrhosis, and hepatorenal syndrome (HRS) is second most common etiology of AKI after volume responsible pre-renal etiology. AKI in these patients negatively impacts pre- and post-transplant ... ...

    Abstract Acute kidney injury (AKI) occurs frequently in patients with cirrhosis, and hepatorenal syndrome (HRS) is second most common etiology of AKI after volume responsible pre-renal etiology. AKI in these patients negatively impacts pre- and post-transplant patient survival and healthcare burden. Reduced effective blood volume with consequent reduced renal blood flow, along with systemic inflammation in patients with decompensated cirrhosis, result in susceptibility to HRS. In this article, we will review updates over the last 5 years on the changing definition with diagnostic criteria and nomenclature of AKI and HRS, data on medical treatment with vasoconstrictors, and urinary biomarkers in diagnosis of etiology of AKI. We will also discuss the significance of liver transplantation evaluation once the diagnosis of HRS is established and the post-transplant immunosuppression management. We will also review one of the challenging issues that remains among transplant-eligible patients, that of allocation of simultaneous liver kidney transplant. Finally, we will review the new implemented policy from the Organ Procurement Transplant Network on simultaneous liver kidney allocation.
    Language English
    Publishing date 2020-06-01
    Publishing country China
    Document type Journal Article ; Review
    ZDB-ID 3019822-7
    ISSN 2310-8819 ; 2225-0719
    ISSN (online) 2310-8819
    ISSN 2225-0719
    DOI 10.14218/JCTH.2020.00011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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