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Development and Validation of a Computer-Based Tool (CDSS) to Help Clinicians Prescribe the Correct Drug Dose in Indian Patients.

Development and validation of dosing algorithms for clinical decision support system using a pharmacometric modeling approach in the Indian Population. - NIL

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/01/101180
Enrollment
150
Registered
2026-01-15
Start date
Unknown
Completion date
Unknown
Last updated
2026-02-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: A00-B99- Certain infectious and parasitic diseases Health Condition 2: C00-D49- Neoplasms

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil

Sponsors

Board of Research in Nuclear Sciences (BRNS)
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Patients requiring treatment with any of the following drugs as part of their standard care will be included: Vancomycin, Voriconazole, 5-flurouracil, nilotinib, Osimertinib and cabozantinib. 2. Eastern Cooperative Oncology Group Performance Status ranging from 0-2 3. Patients aged 18 years or older and willing to give written informed consent.

Exclusion criteria

Exclusion criteria: 1.Patients with known contraindications to the drugs under investigation. 2.Pregnant or breast-feeding women 3.Patients with HIV, HBV, HCV 4.Patients receiving any drug with known clinically significant drug interaction with the study drug.

Design outcomes

Primary

MeasureTime frame
Proportion of patients with concordance between observed plasma drug concentrations and CDSS-predicted concentrations.Timepoint: Baseline (at first pharmacokinetic sampling after initiation of therapy or at steady state, as applicable) and during follow-up at drug-specific pharmacokinetic sampling time points defined in the protocol.

Secondary

MeasureTime frame
Improvement in predictive accuracy of the refined model, measured by reduction in prediction error metrics Relative Mean Prediction Error (RMPE%) & Relative Root Mean Squared Error (RRMSE) compared to the original generalizable model.Timepoint: Assessed after baseline pharmacokinetic sampling & re-evaluated after availability of subsequent pharmacokinetic samples during follow-up, once sufficient data are available for model refinement & validation as per protocol-defined sampling schedule.;Proportion of patients who would have benefitted from CDSS predicted dose recommendation.Timepoint: Evaluated cumulatively over the treatment period after baseline assessment, based on comparison of observed plasma drug concentrations with CDSS-predicted concentrations using all available follow-up pharmacokinetic samples collected as per protocol.

Countries

India

Contacts

Public ContactDr Karunanidhan

Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre

vikramgota@gmail.com02227405493

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 7, 2026