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Dive into the research topics where Krishna Undela is active.

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Featured researches published by Krishna Undela.


PLOS ONE | 2012

Statin Use and Risk of Prostate Cancer: A Meta-Analysis of Observational Studies

Dipika Bansal; Krishna Undela; Sanjay D'Cruz; Fabrizio Schifano

Background Emerging evidence suggests that statins may decrease the risk of cancers. However, available evidence on prostate cancer (PCa) is conflicting. We therefore examined the association between statin use and risk of PCa by conducting a detailed meta-analysis of all observational studies published regarding this subject. Methods Literature search in PubMed database was undertaken through February 2012 looking for observational studies evaluating the association between statin use and risk of PCa. Before meta-analysis, the studies were evaluated for publication bias and heterogeneity. Pooled relative risk (RR) estimates and 95% confidence intervals (CIs) were calculated using random-effects model (DerSimonian and Laird method). Subgroup analyses, sensitivity analysis and cumulative meta-analysis were also performed. Results A total of 27 (15 cohort and 12 case-control) studies contributed to the analysis. There was heterogeneity among the studies but no publication bias. Statin use significantly reduced the risk of both total PCa by 7% (RR 0.93, 95% CI 0.87–0.99, p = 0.03) and clinically important advanced PCa by 20% (RR 0.80, 95% CI 0.70–0.90, p<0.001). Long-term statin use did not significantly affect the risk of total PCa (RR 0.94, 95% CI 0.84–1.05, p = 0.31). Stratification by study design did not substantially influence the RR. Furthermore, sensitivity analysis confirmed the stability of results. Cumulative meta-analysis showed a change in trend of reporting risk from positive to negative in statin users between 1993 and 2011. Conclusions Our meta-analysis provides evidence supporting the hypothesis that statins reduce the risk of both total PCa and clinically important advanced PCa. Further research is needed to confirm these findings and to identify the underlying biological mechanisms.


Geriatrics & Gerontology International | 2014

Prevalence and determinants of use of potentially inappropriate medications in elderly inpatients: A prospective study in a tertiary healthcare setting

Krishna Undela; Dipika Bansal; Sanjay D'Cruz; Atul Sachdev; Pramil Tiwari

To determine the prevalence and predictors of potentially inappropriate medications (PIM) prescribing in elderly inpatients using the modified American Geriatrics Society (AGS) updated Beers criteria 2012 and comparing it with the Beers criteria 2003.


Indian Journal of Pharmacology | 2015

Impact of antidepressants use on risk of myocardial infarction: A systematic review and meta-analysis.

Krishna Undela; Gurumurthy Parthasarathi; Sharon Sunny John

Aims: The aim of the study was to perform a systematic review and meta-analysis to determine the association between antidepressants use and risk of myocardial infarction (MI), and whether this association differs between tricyclic antidepressants (TCAs) and selective serotonin reuptake inhibitors (SSRIs). Methods: A PubMed/MEDLINE search was conducted for studies published up to December 2013. Included studies were evaluated for publication bias and heterogeneity. Depending on the presence of heterogeneity, a random or fixed effects model was used to identify the pooled relative risk (RR) with 95% confidence intervals (CIs). Cumulative meta-analysis, subgroup and sensitivity analyses were also performed. All analyses were performed using comprehensive meta-analysis software. Results: Fourteen (five cohort and nine case–control) studies were included. There was heterogeneity among the studies (Pheterogeneity = 0.02; I2 = 68%) but no publication bias (Beggs P = 0.30 and Eggers P = 0.45). Antidepressants use significantly increases the risk of myocardial infarction (MI) (RR = 2.03; 95% CI = 1.30–3.18; P < 0.01). On subgroup analysis by study design, cohort studies show significant positive association (RR = 2.16; 95% CI = 1.42–3.29; P < 0.01), but not case–control studies (RR = 2.47; 95% CI = 0.69–8.90; P = 0.17). Sensitivity analysis and cumulative meta-analysis confirmed the stability of results. TCAs users are having 36% increased risk of MI after excluding one outlier (RR = 1.36; 95% CI = 1.10–1.67; P < 0.01), but SSRIs showing no association (RR = 0.84; 95% CI = 0.57–1.22; P = 0.35). Conclusions: We found evidence that the use of antidepressants was associated with elevated risk of MI. Further research is needed to identify the underlying biological mechanisms.


Indian Journal of Pharmaceutical Sciences | 2014

Measurement of adult antimicrobial drug use in tertiary care hospital using defined daily dose and days of therapy.

Dipika Bansal; S Mangla; Krishna Undela; Kapil Gudala; Sanjay D'Cruz; Atul Sachdev; Pramil Tiwari

Widespread overuse and inappropriate use of antimicrobial drugs continues to fuel an increase in antimicrobial resistance and leads to consequent treatment complications and increased healthcare costs. In the present study we aimed to describe antimicrobial drug consumption and predictors and to identify potential targets for antimicrobial stewardship. This was a prospective observational study conducted at adult medicine wards of tertiary care teaching hospital over the period of five months. Antimicrobial drug consumption was measured using days of therapy per 1000 patient days and defined daily dose per 1000 patient days. Additionally, predictors of multiple antimicrobial prescribing were also analyzed. Seven hundred thirty patients were screened and 550 enrolled, receiving 1,512 courses of antimicrobial therapy, mainly intravenously (66%). Most frequently prescribed agents were artesunate (13%), ceftriaxone (11%) and metronidazole (10.5%). Overall consumption was 1,533 days of therapy per 1000 patient days and was mainly attributed to antibiotics (98.3%) for empirical therapy (50%). Median days of antimicrobial drugs prescribing were 3 (inter quartile range 2-5). Most commonly consumed antimicrobials were ceftriaxone (31%, 248.8 g) and artesunate (26%, 29 g). Antimicrobials contributed to 72.5% expense of the total incurred. Multivariate analysis reveals that younger patients (≥45 years) (odds ratio: 1.59, 95% CI 1.14-2.21) were more likely and absence of comorbidities (odds ratio: 0.58, 95% CI 0.42-0.79) and shorter hospital stay (≥6 days)(odds ratio: 0.44, 95% CI 0.32-0.60) were associated with less likelihood of prescribing multiple antimicrobial drugs. Estimating antimicrobial drugs use by defined daily dose method will remain open to criticism because the prescribed dosage is not often in agreement with the “usual” daily dose, which depends on location of and susceptibility of pathogenic organisms and metabolic status of the patient.


Indian Journal of Pharmacology | 2016

Assessment of impact of pharmacophilia and pharmacophobia on medication adherence in patients with psychiatric disorders: A cross-sectional study

Mini Johnson Christudas; Balaji Sathyanarayana Gupta; Krishna Undela; Noel M Isaac; Dushad Ram; Madhan Ramesh

Aims: To investigate the impact of pharmacophilia and pharmacophobia on medication adherence among patients with psychiatric disorders. Materials and Methods: A cross-sectional, observational study was conducted in the Department of Psychiatry over a period of 2 months. Patients above 18 years of age with a psychiatric diagnosis as per the International Classification of Diseases 10 and receiving at least one psychotropic medication (any medication capable of affecting the mind, emotions, and behavior) for >1 month were enrolled in the study. Patients who were critically ill, on magico-religious treatment (beliefs prevalent in a particular culture concerning various supernatural influences operating in the environment), diagnosis of dementia, or mental retardation and patients from whom reliable history of illness cannot be obtained were excluded from the study. Drug attitude inventory scale was used to classify patients into pharmacophilic and pharmacophobic groups. Medication adherence rating scale was used to identify the extent of medication adherence. Results: Among 176 patients included, 110 were found to be pharmacophilic and 54 were pharmacophobic. The number of hospitalizations (P < 0.03) and adverse drug reactions (P < 0.001) were found to be higher in pharmacophobic group as compared to pharmacophilic group. Antipsychotics were found to be most commonly prescribed medications among pharmacophobic group (P < 0.001). In this study, patients who had pharmacophilia were found to be have higher adherence score (mean score: 6.98) than patients with pharmacophobia (mean score: 2.9), with P< 0.001. Conclusions: This study concluded that pharmacophobia toward psychopharmacological agents can significantly reduce the medication adherence among patients with psychiatric disorders.


Journal of Pharmaceutical Policy and Practice | 2015

Availability and prices of essential medicines for chronic diseases in older people in the Asia Pacific Region

Tuan Anh Nguyen; Sun Qiang; Haipeng Wang; Krishna Undela; Agnes Vitry

Background Little is known about the prices and availability of medicines for chronic diseases used by older people in the Asia Pacific Region. The objective of this study was to assess the availability and prices of essential medicines for chronic diseases in 11 countries, namely China, Fiji, India, Indonesia, Lao, Malaysia, Mongolia, the Philippines, Sri Lanka, Thailand and Vietnam. The study was carried out at an international level.


Cochrane Database of Systematic Reviews | 2015

Macrolides for chronic asthma

Kayleigh M Kew; Krishna Undela; Ioanna Kotortsi; Giovanni Ferrara


Breast Cancer Research and Treatment | 2012

Statin use and risk of breast cancer: a meta-analysis of observational studies

Krishna Undela; Vallakatla Srikanth; Dipika Bansal


Journal of Neurology | 2013

Statin use and risk of Parkinson’s disease: a meta-analysis of observational studies

Krishna Undela; Kapil Gudala; Swathi Malla; Dipika Bansal


Value in Health | 2016

Assessment Of Prices Of Essential Medicines For Chronic Diseases Prevalent In The Asia Pacific Region

Krishna Undela

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Dipika Bansal

Post Graduate Institute of Medical Education and Research

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Gurumurthy Parthasarathi

Jagadguru Sri Shivarathreeswara University

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Sharon Sunny John

Jagadguru Sri Shivarathreeswara University

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Agnes Vitry

University of South Australia

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Tuan Anh Nguyen

University of South Australia

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Fabrizio Schifano

University of Hertfordshire

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