Saba Khaliq

Dr. Saba Khaliq

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 August 2018 in Hormones
Verified
Journal Article
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UZUzma Zafar
Uzma Zafar
SKSaba Khaliq
Saba Khaliq
HAHafiz Usman Ahmad
Hafiz Usman Ahmad
SMSobia Manzoor
Sobia Manzoor
KLKhalid P. Lone
Khalid P. Lone

21 April 2011 in BMC Gastroenterology
Verified
Journal Article
Open access
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WAWaqar Ahmad
Waqar Ahmad
BIBushra Ijaz
Bushra Ijaz
FJFouzia T Javed
Fouzia T Javed
SGSana Gull
Sana Gull
HKHumera Kausar
Humera Kausar
SHSajida Hassan
Sajida Hassan
Background: Hepatitis C can lead to liver fibrosis and cirrhosis. We compared readily available non-invasive fibrosis indexes for the fibrosis progression discrimination to find a better combination of existing non-invasive markers.Methods: We studied 157 HCV infected patients who underwent liver biopsy. In order to differentiate HCV fibrosis progression, readily available AAR, APRI, FI and FIB-4 serum indexes were tested in the patients. We derived a new fibrosis-cirrhosis index (FCI) comprised of ALP, bilirubin, serum albumin and platelet count. FCI = [(ALP × Bilirubin) / (Albumin × Platelet count)].Results: Already established serum indexes AAR, APRI, FI and FIB-4 were able to stage liver fibrosis with correlation coefficient indexes 0.130, 0.444, 0.578 and 0.494, respectively. Our new fibrosis cirrhosis index FCI significantly correlated with the histological fibrosis stages F0-F1, F2-F3 and F4 (r = 0.818, p < 0.05) with AUROCs 0.932 and 0.996, respectively. The sensitivity and PPV of FCI at a cutoff value < 0.130 for predicting fibrosis stage F0-F1 was 81% and 82%, respectively with AUROC 0.932. Corresponding value of FCI at a cutoff value ≥1.25 for the prediction of cirrhosis was 86% and 100%.Conclusions: The fibrosis-cirrhosis index (FCI) accurately predicted fibrosis stages in HCV infected patients and seems more efficient than frequently used serum indexes.

2 May 2019 in Pakistan Journal of Medical Sciences
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Journal Article
Open access
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STSundus Tariq
Sundus Tariq
STSaba Tariq
Saba Tariq
KLKhalid Parvez Lone
Khalid Parvez Lone
SKSaba Khaliq
Saba Khaliq
Objectives: The study was planned to determine whether serum calcium, phosphate and alkaline phosphatase (ALP) are predictors of bone mineral density (BMD) in postmenopausal non-osteoporotic, osteopenic, and osteoporotic females. Methods: In this cross sectional study, conducted at Shaikh Zayed Hospital, Lahore in the year 2014-2015, postmenopausal females between 50-70 years of age were taken and divided into three groups non-osteoporotic (n=52), osteopenic (n=69) and osteoporotic (n=47). Serum ALP, phosphate and calcium were used in a stepwise multiple regression analysis to predict T-score in these groups. Results: In normal postmenopausal females, the prediction model was statistically significant, F(2, 41) = 6.041, p < 0.05 and showed a T-score variance of 22%. T-score was primarily predicted by higher levels of phosphate and calcium. In postmenopausal osteopenic females, T-score was only predicted by lower levels of ALP. The model was statistically significant, F(1, 59) = 4.995, p < 0.05, and accounted for approximately 7% of the variance of T-score. In postmenopausal osteoporotic females, the prediction model contained no predictors. Conclusion: Our study suggested that calcium and phosphate are the strongest predictors of T-score in postmenopausal normal females, while in postmenopausal osteopenic females ALP was the strongest predictor of T-score. Elevated serum ALP levels may help in determining loss of BMD in postmenopausal females. doi: https://doi.org/10.12669/pjms.35.3.188 How to cite this:Tariq S, Tariq S, Lone KP, Khaliq S. Alkaline phosphatase is a predictor of Bone Mineral Density in postmenopausal females. Pak J Med Sci. 2019;35(3):749-753. doi: https://doi.org/10.12669/pjms.35.3.188 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1 April 2011 in Infection, Genetics and Evolution
Verified
Journal Article
Closed access
SKSaba Khaliq
Saba Khaliq
SJshah jahan
shah jahan
APAsim Pervaiz
Asim Pervaiz

30 January 2012 in Infectious Agents and Cancer
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Journal Article
Open access
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SJshah jahan
shah jahan
UAUsman Ali Ashfaq
Usman Ali Ashfaq
MQMuhammad Qasim
Muhammad Qasim
SKSaba Khaliq
Saba Khaliq
MSMuhammad Javed Saleem
Muhammad Javed Saleem
NANadeem Afzal
Nadeem Afzal
Hepatitis C virus causes acute and chronic hepatitis and can lead to permanent liver damage and hepatocellular carcinoma (HCC) in a significant number of patients via oxidative stress, insulin resistance (IR), fibrosis, liver cirrhosis and HCV induced steatosis. HCV induced steatosis and oxidative stress causes steato-hepatitis and these pathways lead to liver injury or HCC in chronic HCV infection. Steatosis and oxidative stress crosstalk play an important role in liver damage in HCV infection. This Review illustrates viral and host factors which induce Oxidative stress, steatosis and leads toward HCC. It also expresses Molecular cascade which leads oxidative stress and steatosis to HCC.

1 December 2012 in Infection, Genetics and Evolution
Verified
Journal Article
Closed access
BSBaila Samreen
Baila Samreen
SKSaba Khaliq
Saba Khaliq
UAUsman Ali Ashfaq
Usman Ali Ashfaq
MKMahwish Khan
Mahwish Khan
NANadeem Afzal
Nadeem Afzal
SJshah jahan
shah jahan