Relevant bibliographies by topics / Naranjo's Causality Assessment Scale

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Academic literature on the topic 'Naranjo's Causality Assessment Scale'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Naranjo's Causality Assessment Scale"

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Ravi Prakash Degala, Govinda Rao Kamala, Nagalaxmi Pinnamraju, Sunitha K, Ramya Sri Bura, and Sujatha Gorle. "A Prospective Observational Study for Assessment of Chemotherapy-Induced Adverse Drug Reactions in Cancer Patients." Journal of Pharma Insights and Research 3, no. 2 (2025): 113–20. https://doi.org/10.69613/5qhybf06.

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A prospective observational study was carried out to evaluate the patterns, severity, and management of chemotherapy-induced adverse drug reactions (ADRs) in cancer patients. The study included 135 patients receiving chemotherapy at a tertiary care hospital over six months. ADRs were assessed using Naranjo's causality assessment scale, Hartwig's severity scale, and Schumock and Thornton preventability criteria. The mean age of patients was 49.31 ± 12.69 years, with females (63%) experiencing more ADRs than males (37%). Breast cancer was the most prevalent malignancy (34.8%), followed by ovaria
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Begum, Shaik Haseena, Venugopal Reddy M., Christina Sahayaraj, Sharon Sonia S., and Vijayabhaskara Reddy Y. "Taxanes induced hypersensitivity reactions in cancer chemotherapy patients reported at adverse drug reaction monitoring centre at a tertiary care hospital." International Journal of Basic & Clinical Pharmacology 12, no. 1 (2022): 29. http://dx.doi.org/10.18203/2319-2003.ijbcp20223350.

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Background: Cancer chemotherapy involves highly complex regimens using antineoplastic agents like taxanes (paclitaxel, docetaxel) etc. Taxanes cause hypersensitivity reactions (HSRs) like redness, rashes, dyspnoea, severe anaphylaxis and death. In this study, adverse drug reactions (ADRs) associated with taxanes are described & analysed on their severity and preventability. The present study aims to analyse and determine the prevalence of ADRs, especially HSRs in patients treated with taxanes.Methods: After getting IEC approval, the present study is done retrospectively by assessing the HS
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Sharma, Sushil, Ajay Kumar Gupta, and G. Jyothi Reddy. "Inter-rater and intra-rater agreement in causality assessment of adverse drug reactions: a comparative study of WHO-UMC versus Naranjo scale." International Journal of Research in Medical Sciences 5, no. 10 (2017): 4389. http://dx.doi.org/10.18203/2320-6012.ijrms20174564.

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Background: The causality assessment system proposed by the WHO collaborating centre for international drug monitoring, the Uppsala monitoring centre (WHO-UMC) and the Naranjo probability scale are the generally accepted and most widely used methods for causality assessment. Both these scales are structured, transparent, consistent, and easy to apply with distinct advantages. The PvPI recommends use of WHO-UMC scale while many clinicians prefer Naranjo scale for its simplicity. As both these scales are used very widely in practise, it is important to study the level of agreement among them, to
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Misra, Saurav, Manmeet Kaur, Tirthankar Deb, et al. "Agreement and correlation between WHO-UMC Causality scale and the Naranjo algorithm for causality assessment of adverse drug reactions at tertiary care center in Northern India." Journal of Family Medicine and Primary Care 14, no. 4 (2025): 1252–58. https://doi.org/10.4103/jfmpc.jfmpc_1148_24.

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Abstract Background: To develop a structured and harmonized causality assessment method has been a holy grail in pharmacovigilance. The Pharmacovigilance Programme of India (PvPI) recommends the use of the World Health Organization-Uppsala Monitoring Centre (WHO-UMC) scale, whereas many clinicians prefer the Naranjo algorithm for its simplicity. There is no universally accepted method for the causality grading of ADRs. In the present study, we assessed agreement and correlation between the two widely used causality assessment scales, that is, the WHO-UMC criteria and the Naranjo algorithm. Mat
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Singh, Abhishank, and Shridhar Dwivedi. "Study of adverse drug reactions in patients with diabetes attending a tertiary care hospital in New Delhi, India." Indian Journal of Medical Research 145, no. 2 (2017): 247–49. https://doi.org/10.4103/ijmr.ijmr_109_16.

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The present prospective observational study was carried out in a tertiary care hospital in New Delhi, India from May 2014 to June 2015 to report adverse drug reactions (ADRs) in patients with type 2 diabetes mellitus (T2DM) using antidiabetic drugs. A total of 220 patients (121 males, 99 females) were enrolled. ADRs were recorded on the prescribed form. Causality and severity assessment was done using Naranjo's probability scale and modified Hartwig and Siegel's severity scale, respectively. Commonly prescribed drugs were biguanides, peptide hormone and sulphonylurea. A total of 26 ADRs were r
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Bajracharya, Sangha Ratna, Rakesh Ghimire, Pradip Gyanwali, and Anjan Khadka. "Causality Assessment of Adverse Drug Reaction Using Naranjo Probability Scale: A Retrospective Study." Medical Journal of Shree Birendra Hospital 19, no. 1 (2020): 16–19. http://dx.doi.org/10.3126/mjsbh.v19i1.21573.

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 Introduction: Globally, Adverse Drug Reaction (ADR) has been listed as the sixth leading causes of death. Recognition of ADR and establishment of relationship of drug with the symptom is the first step to the management of the problem. In this study, Naranjo algorithm has been used which is one of the most accepted tools for the assessment of causality of ADR with the suspected drug.
 Methods: A retrospective descriptive study was done which included 35 reported cases of ADRs in Drug Information Unit (DIU) in tertiary care teaching institute of Nepal from Dec 2
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Sharma, Jyoti Bhagatram, Manjunath Nookala Krishnamurthy, Ankita Awase, et al. "Validation of a novel causality assessment scale for adverse events in non-small cell lung carcinoma patients treated with platinum and pemetrexed doublet chemotherapy." Therapeutic Advances in Drug Safety 12 (January 2021): 204209862199128. http://dx.doi.org/10.1177/2042098621991280.

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Aim: Accurate causality assessment (CA) of adverse events (AEs) is important in clinical research and routine clinical practice. The Naranjo scale (NS) used for CA lacks specificity, leading to a high rate of false positive causal associations. NS is a simple scale for CA; however, its limitations have reduced its popularity in favour of other scales. We therefore attempted to improvise the algorithm by addressing specific lacunae in NS. Methods: We attempted to modify the existing NS by (a) changing the weightage given to certain responses, (b) achieving higher resolution to certain responses
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Rehan, H. S., Deepti Chopra, and Ashish Kumar Kakkar. "Causality assessment of spontaneously reported adverse drug events: Comparison of WHO-UMC criteria and Naranjo probability scale." International Journal of Risk & Safety in Medicine 19, no. 4 (2007): 223–27. https://doi.org/10.3233/jrs-2007-420.

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ADRs usually do not present with unique clinical and laboratory findings making it difficult to demarcate them from the concurrent illness. For the estimation of the probability that a drug caused an adverse event several methods have been developed namely, the WHO-UMC criteria, the Naranjo probability scale, the Kramer scale and the Karch and Lasagna scale. But none of the available assessment methods have been shown to produce a precise and reliable quantitative estimation of relationship likelihood. The present study was planned to compare the WHO-UMC causality assessment criteria and the N
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Jeenalben, M. Patel, S. Patel Dishaben, R. Acharya Chetankumar, and R. Darji Bhargav. "Study of Adverse Drug Reactions in Inpatients of Medicine Department in a Tertiary Care Hospital: A Cross - Sectional Study." International Journal of Pharmaceutical and Clinical Research 14, no. 5 (2022): 641–55. https://doi.org/10.5281/zenodo.13829262.

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<strong>Introduction:</strong>&nbsp;Adverse Drug Reactions (ADRs) cause considerable morbidity and mortality worldwide. Early detection, evaluation and monitoring of ADRs are essential to reduce harm to patients and thus improve public health. Spontaneous reporting system (SRS) by health care professionals is common method for reporting suspected ADRs. Chances of ADRs in medicine department are high due to various factors. ADR monitoring and evaluation are the key components of effective drug regulation systems, clinical practice and public health programmes.&nbsp;<strong>Aim:</strong>&nbsp;To
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Kedia, Pulkit R., Netravathi Angadi, and Vikram P. Thondaebhavi. "Adverse drug reaction due to combination of gabapentin and nortriptyline along with its causality assessment." International Journal of Basic & Clinical Pharmacology 11, no. 5 (2022): 494. http://dx.doi.org/10.18203/2319-2003.ijbcp20222150.

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The combination of gabapentin and nortriptyline is used as the first line drug treatment for management of neuropathic pain; however adverse drug reactions (ADRs) are one of the main causes for discontinuation of the therapy. This is a case study of erythematous maculopapular rash induced by combination of gabapentin and nortriptyline along with its causality assessment. A 55-year-old female came with complaint of back pain for 1 month. She was diagnosed as a case of L1 acute osteoporotic disc compression fracture. The patient was then administered combination tablet of gabapentin and nortript
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Book chapters on the topic "Naranjo's Causality Assessment Scale"

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Muthé N, Bengt, and Hendricks C. Brown. "General Approaches to Analysis of Course: Applying Growth Mixture Modeling to Randomized Trials of Depression Medication." In Causality and Psychopathology. Oxford University Press, 2011. http://dx.doi.org/10.1093/oso/9780199754649.003.0012.

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This chapter discusses the assessment of treatment effects in longitudinal randomized trials using growth mixture modeling (GMM) (Muthén &amp; Shedden, 1999; Muthén &amp; Muthén, 2000; Muthén et al., 2002; Muthén &amp; Asparouhov, 2009). GMM is a generalization of conventional repeated measurement mixed-effects (multilevel) modeling. It captures unobserved subject heterogeneity in trajectories not only by random effects but also by latent classes corresponding to qualitatively different types of trajectories. It can be seen as a combination of conventional mixed-effects modeling and cluster an
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Anderson, Garnet L., and Ross L. Prentice. "Understanding the Effects of Menopausal Hormone Therapy: Using the Women’s Health Initiative Randomized Trials and Observational Study to Improve Inference." In Causality and Psychopathology. Oxford University Press, 2011. http://dx.doi.org/10.1093/oso/9780199754649.003.0009.

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Over the last decade, several large-scale randomized trials have reported results that disagreed substantially with the motivating observational studies on the value of various chronic disease–prevention strategies. One high-profile example of these discrepancies was related to postmenopausal hormone therapy (HT) use and its effects on cardiovascular disease and cancer. The Women’s Health Initiative (WHI), a National Heart, Lung, and Blood Institute–sponsored program, was designed to test three interventions for the prevention of chronic diseases in postmenopausal women, each of which was moti
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Pérez, Antonio, Riccardo Silini, Iván Sánchez, and Joaquín Bedia. "Ecoregion based attribution analysis of the influence of several fire danger indices on the amount of burned area at a global scale by means of pseudo transfer entropy." In Advances in Forest Fire Research 2022. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_23.

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Understanding the current fire-climate relationships is of utmost importance in order to assess the potential impacts that projected climate may exert in the near future. However, the many factors involved in fire activity often prevent a proper attribution of the observed variability. Unlike the many previous correlative studies, here we address this problem using a 'causality' measure known as “pseudo transfer entropy” (pTE), relating three widely used fire danger indices to the global observed burned areas (namely the Canadian Fire Weather Index, the Fire Danger Index from the Australia
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Conference papers on the topic "Naranjo's Causality Assessment Scale"

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Fadic, Anton, and Michael Murray. "Quantifying Corrosion Patterns: A Study of Corrosion Clustering Around Elevation Valleys With a Large Inline Inspection Dataset." In 2024 15th International Pipeline Conference. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/ipc2024-128203.

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Abstract Elevation valleys are suspected to play a role in pipeline corrosion. One proposed mechanism is water and solids accumulation at these valley locations, which play a role in combination with other variables such as flowrate and pipe geometry, among others. From our literature review no studies have been published that show the relationship between valley locations and corrosion anomalies using real world inspection data at large scale. This topic has been researched rather indirectly, typically by the study of water accumulation in simulated settings, using two immiscible fluids of di
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Reports on the topic "Naranjo's Causality Assessment Scale"

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Perdigão, Rui A. P., and Julia Hall. Spatiotemporal Causality and Predictability Beyond Recurrence Collapse in Complex Coevolutionary Systems. Meteoceanics, 2020. http://dx.doi.org/10.46337/201111.

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Causality and Predictability of Complex Systems pose fundamental challenges even under well-defined structural stochastic-dynamic conditions where the laws of motion and system symmetries are known. However, the edifice of complexity can be profoundly transformed by structural-functional coevolution and non-recurrent elusive mechanisms changing the very same invariants of motion that had been taken for granted. This leads to recurrence collapse and memory loss, precluding the ability of traditional stochastic-dynamic and information-theoretic metrics to provide reliable information about the n
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