Patient-Tailored Levothyroxine Dosage Data from a Randomized Controlled Trial

A merged and anonymized dataset from a two-phase study investigating a pharmacokinetic/pharmacodynamic model for Levothyroxine dosage after total thyroidectomy. Data includes patient demographics, laboratory results, and dosage information collected at multiple time points before and after surgery. The study was conducted from 2016 to 2019, with a pilot phase (2016-2017) for model development and a randomized controlled trial phase (2017-2019).

Use Cases

• Train or validate a pharmacokinetic/pharmacodynamic model for Levothyroxine based on patient demographics and dosage data.
• Analyze the relationship between laboratory results and Levothyroxine dosage over time for post-thyroidectomy patients.
• Compare dosage optimization outcomes between model-guided and standard treatment approaches using the randomized controlled trial data.

Strengths

• Data originates from a published clinical study with a defined objective and methodology (doi: 10.1089/thy.2021.0125).
• Includes longitudinal data with measurements collected at multiple time points both before and after surgery.
• Combines data from a pilot study and a subsequent randomized controlled trial, providing a basis for model development and validation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• Data may reflect temporal and patient population bias inherent to the single study's recruitment criteria (patients >18 years with planned total thyroidectomy).

Provenance

Source

Study: Patient-Tailored Levothyroxine Dosage with Pharmacokinetic/Pharmacodynamic Modeling: A Novel Approach After Total Thyroidectomy.

Collection Method

Data collected in a clinical study with two phases: a pilot study and a randomized controlled trial.

Time Range

2016 to 2019

Freshness

Last updated 2026-04-21 02:27:07; freshness should be verified.

Geography

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