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Record W3132607998 · doi:10.18231/2581-4729.2018.0041

A study of cutaneous adverse drug reaction patterns with causality and severity assessment at a tertiary care centre

2018· article· en· W3132607998 on OpenAlexaff
Dhaval Joshi, Rashmi Mahajan, Kishan Ninama, Foram Shukla, Charansakhi Panchal

Bibliographic record

VenueIP Indian Journal of Clinical and Experimental Dermatology · 2018
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsSKiN Health
Fundersnot available
KeywordsCulpritMedicineDrug reactionDrugCausality (physics)Intensive care medicineTertiary careAdverse effectAdverse drug reactionEmergency medicinePharmacotherapyDrug withdrawalInternal medicinePharmacology

Abstract

fetched live from OpenAlex

Introduction: Prescribed medications are intended to relieve sufferings during the course of illness. Occasionally due to the unpredictable pharmacological nature of the drug, the unique physiological condition of the patients and/or due to any other factors, drugs cause Adverse Drug Reactions (ADRs). Few of the ADRs are quite severe and if not adequately and promptly managed, may lead to serious complications and even death. Apart from this, the high frequency of obnoxious ADRs may also drive the patients to question the reliability of the given pharmacotherapy and that may further lead to medication nonadherance. Cutaneous ADRs are quite common and few of them are very severe which lead to significant comorbidities. Early identification of the condition as well as the culprit drug and omitting it at earliest holds the keystone in management and prevention of a more serious reaction. Thus, it is necessary to have a sound monitoring and reporting of cutaneous ADRs and also an adequate analysis and interpretation of their entire pattern of the occurrence. Aim: To study the patterns of cutaneous adverse drug reactions with causality and severity assessment in tertiary care hospital. Objective: To Identify, analyse and report cutaneous ADRs and drug classes responsible for the same. Materials and Methods: A Prospective study was carried out over a period of 5 months among the out-patients and in-patients in Department of Skin and Venereal Diseases. A total of 35 patients were enrolled as per selection criteria. Chi-square test was applied in order to investigate whether the distribution of categorical variables differ from one another. Result: Out of 35 patients enrolled in the study, 12 patients had maculopapular drug rash and the commonest causative drug was phenytoin. 9 patients in the study had fixed drug reaction, the commonest cause was nimesulide. 4 patients were of erythema multiforme, the commonest cause was NSAIDS. 3 patients each of Toxic Epidermal Necrolysi

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.375
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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