Evidence mapPaperPMID 39282084Full record

ArticleJAMIA open2024

Analysis toolkit for evaluation of drug titration practice in acute lymphoblastic leukemia maintenance.

Tushar Mungle, Ananya Mahadevan, Jayanta Mukhopadhyay, Sangeeta Das Bhattacharya, Vaskar Saha, Shekhar Krishnan

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Article in JAMIA open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tushar MungleSchool of Medical Sciences and Technology, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, 721 302, India.
Ananya MahadevanTata Translational Cancer Research Centre, Tata Medical Center, Kolkata, West Bengal, 700 160, India.
Jayanta MukhopadhyayDepartment of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, 721 302, India.
Sangeeta Das BhattacharyaSchool of Medical Sciences and Technology, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, 721 302, India.
Vaskar SahaTata Translational Cancer Research Centre, Tata Medical Center, Kolkata, West Bengal, 700 160, India.
Shekhar KrishnanTata Translational Cancer Research Centre, Tata Medical Center, Kolkata, West Bengal, 700 160, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: During the 2-year maintenance treatment phase (MT) of acute lymphoblastic leukemia (ALL), personalized patient-specified titration of oral antimetabolite drug doses is required to ensure maximum tolerated systemic drug exposure. Drug titration is difficult to implement in practice and insufficient systemic drug exposure resulting from inadequate dose titration increases risk of ALL relapse. Materials and Methods: We developed an open-source R-based analytical toolkit, including the allMT R package and an interactive web-based R Shiny VIATAMIN application, to evaluate antimetabolite drug titration during MT. Results: Evaluation is initiated with basic visualization analysis of drug titration, in both individual patients and patient cohorts. Observations are supplemented with descriptive analyses of hematological toxicity frequency and prescriber compliance rates with protocol drug titration rules. In individual patients, visual and quantitative analyses indicate recurring potentially correctable suboptimal drug titration patterns. In patient cohorts, the toolkit enables evaluation of the impact of interventions to optimize MT drug titration. Discussion: Incorporation of the toolkit in a forthcoming clinical decision support system for MT would enable real-time examination and course correction of drug titration practice. Conclusion: Future versions will be enhanced to include other variables that influence drug titration practice, including clinical toxicity data and later, pharmacological markers of antimetabolite, adherence, and drug activity.

Indexed as

acute lymphoblastic leukemiadrug titrationmaintenance therapyprotocol compliancevisualization and analysis

Identifiers

PMID39282084
PMCPMC11398893

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.