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  1. Article ; Online: The impact of SGLT 2 inhibitors: Heart failure and beyond.

    Mansoor, Misha / Shafiq, Muhammad Hamza / Khalique, Faisal

    Irish journal of medical science

    2024  

    Language English
    Publishing date 2024-02-28
    Publishing country Ireland
    Document type Letter
    ZDB-ID 390895-1
    ISSN 1863-4362 ; 0021-1265
    ISSN (online) 1863-4362
    ISSN 0021-1265
    DOI 10.1007/s11845-024-03644-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The least sample size essential for detecting changes in clustering solutions of streaming datasets.

    Atif, Muhammad / Farooq, Muhammad / Abiad, Mohammad / Shafiq, Muhammad

    PloS one

    2024  Volume 19, Issue 2, Page(s) e0297355

    Abstract: The clustering analysis approach treats multivariate data tuples as objects and groups them into clusters based on their similarities or dissimilarities within the dataset. However, in modern world, a significant volume of data is continuously generated ... ...

    Abstract The clustering analysis approach treats multivariate data tuples as objects and groups them into clusters based on their similarities or dissimilarities within the dataset. However, in modern world, a significant volume of data is continuously generated from diverse sources over time. In these dynamic scenarios, the data is not static but continually evolves. Consequently, the interesting patterns and inherent subgroups within the datasets also change and develop over time. The researchers have paid special attention to monitoring changes in cluster solutions of evolving streams. For this matter, several algorithms have been proposed in the literature. However, to date, no study has examined the effect of variability in cluster sizes on the evolution of cluster solutions. Moreover, no guidance is available on determining the impact of cluster sizes on the type of changes they experience in the streams. In the present simulation study using artificial datasets, the evolution of clusters is examined concerning the variability in cluster sizes. The findings are substantial because tracing and monitoring the changes in clustering solutions have a wide range of applications in every field of research. This study determines the minimum sample size required in the clustering of time-stamped datasets.
    MeSH term(s) Sample Size ; Algorithms ; Computer Simulation ; Cluster Analysis
    Language English
    Publishing date 2024-02-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0297355
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Clinical outcomes of coronavirus disease 2019 in liver transplant recipients.

    Shafiq, Muhammad / Gibson, Cheryl

    World journal of hepatology

    2022  Volume 14, Issue 6, Page(s) 1142–1149

    Abstract: Background: Liver transplant patients are at higher risk of infection due to immunosuppression. Whether liver transplant recipients are also more susceptible to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and will have worse outcomes ... ...

    Abstract Background: Liver transplant patients are at higher risk of infection due to immunosuppression. Whether liver transplant recipients are also more susceptible to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and will have worse outcomes than the general population if they develop coronavirus disease 2019 (COVID-19) due to SARS-CoV-2 is a topic of ongoing studies, including ours.
    Aim: To assess the clinical outcomes of COVID-19 in liver transplant recipients.
    Methods: This was a case-control study, with a database search performed (at the study site) from March 1, 2020 through February 28, 2021. Patients 18 years or older who tested positive for SARS-CoV-2
    Results: Of the 470 Liver transplant recipients who were tested for COVID-19
    Conclusion: Clinical outcomes of COVID-19 in liver transplant recipients are not different than those without transplantation. COVID-19 should not impact timely health care access and immunosuppression continuation among these patients.
    Language English
    Publishing date 2022-08-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2573703-X
    ISSN 1948-5182
    ISSN 1948-5182
    DOI 10.4254/wjh.v14.i6.1142
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Association of Wilms Tumor with Crossed Fused Renal Ectopia in Children: A Case Report.

    Ali, Sajid / Latif, Tariq / Sheikh, Muhammad Ali / Shafiq, Muhammad Bilal

    Journal of cancer & allied specialties

    2024  Volume 10, Issue 1, Page(s) 601

    Abstract: Introduction: Wilms tumor is the most common renal malignancy in children. The occurrence of Wilms tumor with various congenital genitourinary anomalies has been reported, particularly in horseshoe kidneys, hypospadias, disorder of sexual development, ... ...

    Abstract Introduction: Wilms tumor is the most common renal malignancy in children. The occurrence of Wilms tumor with various congenital genitourinary anomalies has been reported, particularly in horseshoe kidneys, hypospadias, disorder of sexual development, and double collecting system. However, Wilms tumor with crossed renal ectopia is a rare finding.
    Case description: We are reporting a case report of Wilms tumor in a 3-year-old girl who presented with a huge left flank mass with cross-fused renal ectopia. After the initial workup and triphasic computed tomography scan of the chest, abdomen, and pelvis for confirmation of diagnosis and metastasis, the patient underwent image-guided tissue biopsy, followed by neoadjuvant chemotherapy, left radical nephrectomy with separation of fused right ectopic renal moiety, and adjuvant chemoradiation.
    Practical implication: This report shows an association of Wilms tumor with cross-fused renal ectopia, a rare combination. Unusual findings on imaging with unilateral flank mass should be considered as part of the differential diagnosis for this rare finding. Adjuvant chemotherapy and modern imaging helped delineate the anatomy and ease the surgery for safe resection, improving the overall outcome.
    Language English
    Publishing date 2024-01-22
    Publishing country Pakistan
    Document type Case Reports
    ISSN 2411-989X
    ISSN (online) 2411-989X
    DOI 10.37029/jcas.v10i1.601
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Complications and Outcome of Bone Sarcoma Patients with Limb Salvage using Liquid Nitrogen-treated Bone for Reconstruction.

    Farooq, Muhammad Zoha / Shafiq, Muhammad Bilal / Ali, Sajid / Rafi, Ilyas

    Journal of cancer & allied specialties

    2024  Volume 10, Issue 1, Page(s) 543

    Abstract: Introduction: The recommended treatment method for bone sarcoma is wide local excision and reconstruction to preserve limb function. Established methods of reconstruction are mega prosthesis or biological reconstruction. This study aimed to determine ... ...

    Abstract Introduction: The recommended treatment method for bone sarcoma is wide local excision and reconstruction to preserve limb function. Established methods of reconstruction are mega prosthesis or biological reconstruction. This study aimed to determine the complications and functional outcomes associated with limb salvage surgery using liquid nitrogen-treated bone.
    Materials and methods: We retrospectively observed the short-term outcome of limb salvage surgeries where liquid nitrogen bone was used for reconstruction. A total of 15 patients underwent reconstruction with liquid nitrogen auto graft from January 2018 to December 2020. We used the free freezing method of liquid nitrogen treatment after wide local excision of sarcoma. We observed short-term outcomes after liquid nitrogen-treated bone reconstruction in limb salvage surgery. Survival of the auto grafts was recorded using the Kaplan-Meier method with a 95% confidence interval.
    Results: The mean follow-up was 19.83 ± 4.5 months. The mean musculoskeletal tumor society score was 62.4 ± 7.9%, while the average Toronto extremity score was 59.6 ± 5.7%. Three patients died during the study duration due to visceral metastasis. Skin necrosis and wound breakdown were major complications in 9 (60%) patients. Deep infection was observed in 4 (26.7%). Similarly, 4 (26.7%) patients had non-union at either the proximal or distal osteotomy site, while the average time of bone union in the rest of the patients was 6.3 ± 1.7 months. A total of 6 (40%) patients underwent reoperation after liquid nitrogen treatment, either due to infection or non-union at the osteotomy site. Recurrence was observed in 3 (20%) of patients.
    Conclusion: We observed a high complication rate with liquid nitrogen-treated autograft reconstruction. Vascularized fibula with liquid nitrogen-treated autograft or endoprosthesis should be encouraged.
    Language English
    Publishing date 2024-01-22
    Publishing country Pakistan
    Document type Journal Article
    ISSN 2411-989X
    ISSN (online) 2411-989X
    DOI 10.37029/jcas.v10i1.543
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data.

    Bilal, Anas / Liu, Xiaowen / Shafiq, Muhammad / Ahmed, Zohaib / Long, Haixia

    Computers in biology and medicine

    2024  Volume 171, Page(s) 108099

    Abstract: In the realm of precision medicine, the potential of deep learning is progressively harnessed to facilitate intricate clinical decision-making, especially when navigating multifaceted datasets encompassing Omics, Clinical, image, device, social, and ... ...

    Abstract In the realm of precision medicine, the potential of deep learning is progressively harnessed to facilitate intricate clinical decision-making, especially when navigating multifaceted datasets encompassing Omics, Clinical, image, device, social, and environmental dimensions. This study accentuates the criticality of image data, given its instrumental role in detecting and classifying vision-threatening diabetic retinopathy (VTDR) - a predominant global contributor to vision impairment. The timely identification of VTDR is a linchpin for efficacious interventions and the mitigation of vision loss. Addressing this, This study introduces "NIMEQ-SACNet," a novel hybrid model by the prowess of the Enhanced Quantum-Inspired Binary Grey Wolf Optimizer (EQI-BGWO) with a self-attention capsule network. The proposed approach is characterized by two pivotal advancements: firstly, the augmentation of the Binary Grey Wolf Optimization through Quantum Computing methodologies, and secondly, the deployment of the enhanced EQI-BGWO to adeptly calibrate the SACNet's parameters, culminating in a notable uplift in VTDR classification accuracy. The proposed model's ability to handle binary, 5-stage, and 7-stage VTDR classifications adroitly is noteworthy. Rigorous assessments on the fundus image dataset, underscored by metrics such as Accuracy, Sensitivity, Specificity, Precision, F1-Score, and MCC, bear testament to NIMEQ-SACNet's pre-eminence over prevailing algorithms and classification frameworks.
    MeSH term(s) Humans ; Diabetic Retinopathy/diagnostic imaging ; Computing Methodologies ; Precision Medicine ; Quantum Theory ; Algorithms ; Diabetes Mellitus
    Language English
    Publishing date 2024-02-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2024.108099
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Letter to Editor: Association Between Social Vulnerability Index and Mortality Following Acute Myocardial Infarction in the US Counties.

    Shafiq, Muhammad Hamza / Khalid, Mubashra / Mansoor, Misha

    Current problems in cardiology

    2023  Volume 49, Issue 1 Pt A, Page(s) 102044

    Language English
    Publishing date 2023-08-23
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 441230-8
    ISSN 1535-6280 ; 0146-2806
    ISSN (online) 1535-6280
    ISSN 0146-2806
    DOI 10.1016/j.cpcardiol.2023.102044
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  8. Article ; Online: Rare presentation of pneumothorax in a young woman with underlying congenital pulmonary airway malformation.

    Shafiq, Muhammad / Qadeer, Tariq / Tentzeris, Vasileios / Kastelik, Jack

    BMJ case reports

    2023  Volume 16, Issue 12

    Abstract: Congenital pulmonary airway malformation (CPAM) is the most common among a rare group of congenital anomalies of the lower respiratory tract. It has variable presentation depending on its subtype and the patient's age. It may lead to respiratory distress ...

    Abstract Congenital pulmonary airway malformation (CPAM) is the most common among a rare group of congenital anomalies of the lower respiratory tract. It has variable presentation depending on its subtype and the patient's age. It may lead to respiratory distress in neonates. It can be a particularly challenging diagnosis in children born asymptomatic but present with complications later in life such as haemoptysis, recurrent chest infections, breathlessness and pneumothorax. Prenatal ultrasound, chest X-ray, CT scan and MRI are helpful in making a radiological diagnosis.A woman in her late teens presented with shortness of breath and right pleuritic chest pain. CT's chest showed a number of bullae of varying sizes on the right, including one huge bulla compressing all three lobes. She underwent lung volume reduction surgery via video-assisted thoracoscopy, and the histology specimen confirmed the diagnosis of CPAM type 1.
    MeSH term(s) Infant, Newborn ; Child ; Pregnancy ; Female ; Adolescent ; Humans ; Pneumothorax/diagnostic imaging ; Pneumothorax/etiology ; Pneumothorax/surgery ; Cystic Adenomatoid Malformation of Lung, Congenital/diagnosis ; Cystic Adenomatoid Malformation of Lung, Congenital/diagnostic imaging ; Tomography, X-Ray Computed ; Radiography ; Pneumonectomy ; Dyspnea/etiology ; Dyspnea/surgery
    Language English
    Publishing date 2023-12-01
    Publishing country England
    Document type Case Reports ; Journal Article
    ISSN 1757-790X
    ISSN (online) 1757-790X
    DOI 10.1136/bcr-2022-254294
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Multi-Resolution Wavelet Fractal Analysis and Subtask Training for Enhancing Few-Shot Noisy Brainwave Recognition.

    Zhang, Denghui / Shafiq, Muhammad / Tang, Keke / Naseem, Usman

    IEEE journal of biomedical and health informatics

    2023  Volume PP

    Abstract: The integration of healthcare monitoring with Internet of Things (IoT) networks radically transforms the management and monitoring of human well-being. Portable and lightweight electroencephalography (EEG) systems with fewer electrodes have improved ... ...

    Abstract The integration of healthcare monitoring with Internet of Things (IoT) networks radically transforms the management and monitoring of human well-being. Portable and lightweight electroencephalography (EEG) systems with fewer electrodes have improved convenience and flexibility while retaining adequate accuracy. However, challenges emerge when dealing with real-time EEG data from IoT devices due to the presence of noisy samples, which impedes improvements in brainwave detection accuracy. Moreover, high inter-subject variability and substantial variability in EEG signals present difficulties for conventional data augmentation and subtask learning techniques, leading to poor generalizability. To address these issues, we present a novel framework for enhancing EEG-based recognition through multi-resolution data analysis, capturing features at different scales using wavelet fractals. The original data can be expanded many times after continuous wavelet transform (CWT) and recombination, alleviating insufficient training samples. In the transfer stage of deep learning (DL) models, we adopt a subtask learning approach to train the recognition model to generalize efficiently. This incorporates wavelets at various scales instead of exclusively considering average prediction performance across scales and paradigms. Through extensive experiments, we demonstrate that our proposed DL-based method excels at extracting features from small-scale and noisy EEG data. This significantly improves healthcare monitoring performance by mitigating the impact of noise introduced by the external environment.
    Language English
    Publishing date 2023-09-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2695320-1
    ISSN 2168-2208 ; 2168-2194
    ISSN (online) 2168-2208
    ISSN 2168-2194
    DOI 10.1109/JBHI.2023.3318419
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Realizing direct and indirect impact of environmental regulations on pollution: A path analysis approach to explore the mediating role of green innovation in G7 economies.

    Nazir, Rabia / Gillani, Seemab / Shafiq, Muhammad Nouman

    Environmental science and pollution research international

    2023  Volume 30, Issue 15, Page(s) 44795–44818

    Abstract: The alarming impact of climate change and environmental pollutants has increased the focus of policymakers and think tanks' focus on formulating environmental regulations. Environmental regulations may reduce emissions directly and indirectly, as ... ...

    Abstract The alarming impact of climate change and environmental pollutants has increased the focus of policymakers and think tanks' focus on formulating environmental regulations. Environmental regulations may reduce emissions directly and indirectly, as postulated by the famous Porter Hypothesis. It shows that environmental regulation may enhance pollution-reducing innovation by reducing agency costs while at the same time increasing firms' private benefit. The study is designed to investigate environmental regulations' direct and indirect impact on CO2 and GHG emissions using innovations as mediation factors. The study employs a structural equation method using data on G7 economies from 1990 to 2020 to test the relationship between regulations, innovations, and pollution. The study findings confirm that environmental regulations help reduce emissions directly. Our findings also confirm the Porter hypothesis whereby regulations encourage innovations and result in reduced emissions through this indirect channel. The study findings have significant implications for controlling pollution through placing environmental regulations and encouraging innovations.
    MeSH term(s) Environmental Pollution/analysis ; Economic Development ; China ; Carbon Dioxide/analysis
    Chemical Substances Carbon Dioxide (142M471B3J)
    Language English
    Publishing date 2023-01-26
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-25399-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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