Publications by authors named "Z H Ali"

the current study investigates the link between health insurance coverage and child nutritional status in Pakistan. Using data from the Pakistan Demographic and Health Survey (PDHS) 2017-18, encompassing 4499 children under 5, a binary logistic regression was applied to analyze the relationship between health insurance and child nutritional status. Due to the non-randomized sample, assessing health insurance continuously posed a practical challenge.

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Background: Severe calcification is the morphology most strongly associated with stent underexpansion.

Objectives: The aim of this study was to revise an optical coherence tomography (OCT)-derived calcium score to predict stent underexpansion in severely calcified lesions (angle >270°) using a point-based system.

Methods: A retrospective observational study was conducted in which 250 de novo lesions undergoing OCT-guided stenting, with angiographically visible calcium and optical coherence tomographic maximum superficial calcium angle >270°, not subjected to atherectomy or specialty balloon treatment before stent implantation, were randomly divided into derivation (n = 167) and validation (n = 83) cohorts.

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Astracondensatol D (), a pentacyclic triterpenoid featuring an uncommon 6/6/5/6-fused ring system, along with its precursor astracondensatol E (), and two simplified 20(27)-octanorcycloastragenol derivatives ( and ) were isolated from for the first time. Classical NMR spectroscopic data, integrated with NMR and DP4+ calculations, unambiguously determined their absolute stereostructures. X-ray crystallography provided independent confirmation of the structure of compound .

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Background: Biologic mesh is often used in complex hernia repair, but there has been limited clinical evidence to date to support this practice. The aim of this study was to compare clinical and patient-reported outcomes of biologic versus synthetic mesh for complex open ventral hernia repair (OVHR) at 3 years.

Methods: Patients from a single center, randomized, controlled, pilot trial comparing biologic versus synthetic mesh in complex OVHR were followed for 3 years.

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Purpose: Early detection of breast cancer is crucial for improving patient outcomes. With advancements in artificial intelligence (AI), there is growing interest in its potential to assist radiologists in interpreting mammograms for early cancer detection. AI algorithms offer the promise of increased accuracy and efficiency in identifying subtle signs of breast cancer, potentially complementing the expertise of radiologists and enhancing the screening process for early-stage breast cancer detection.

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