Evidence map›Paper›PMID 41585792›Full record

ArticleFrontiers in endocrinology2025

Personalized p-THYROSIM model for thyroid hormone dynamics, hypothyroidism treatment & implementation in an iOS version for wide distribution.

Joseph DiStefano, Katarina Reid, Karim Ghabra, Rita Chen, Shruthi Sathya Narayanan

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Joseph DiStefanoBiocybernetics Laboratory, Departments of Computer Science and Medicine, University of California at Los Angeles (UCLA), Los Angeles, United States.
Katarina ReidBiocybernetics Laboratory, Departments of Computer Science and Medicine, University of California at Los Angeles (UCLA), Los Angeles, United States.
Karim GhabraBiocybernetics Laboratory, Departments of Computer Science and Medicine, University of California at Los Angeles (UCLA), Los Angeles, United States.
Rita ChenBiocybernetics Laboratory, Departments of Computer Science and Medicine, University of California at Los Angeles (UCLA), Los Angeles, United States.
Shruthi Sathya NarayananBiocybernetics Laboratory, Departments of Computer Science and Medicine, University of California at Los Angeles (UCLA), Los Angeles, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To: (1) update and refine the predictive abilities of original p-THYROSIM, a uniquely personalized simulation tool that mathematically mimics the thyroid hormone regulation system in humans, to optimize replacement LT4 and LT4+LT3 dosing for hypothyroid patients, based on individual hormone levels, heights ( Methods: Original p-THYROSIM was refined and updated, first by refitting male and female data for establishing blood volume Results: The iOS app was implemented, exercised and tested in several clinical applications. Most notably, simulation results are shown and compared for hemi-thyroidectomy and for optimal dosing for mono- and combination hormone replacement therapies. With the Python version, graphic hormone responses for 240 days of evolving mono- and combination replacement therapies were illustrated for a simulated Hashimoto's disease patient. With both versions, simulated combination therapy was shown to be more effective in achieving normal range FT4, FT3 and TSH concentrations in plasma. Conclusions: p-THYROSIM can predictively provide accurate mono- and combination LT4+LT3 replacement hormone therapies for male and female hypothyroid patients, personalized with their

Indexed as

Hormone Replacement TherapyHypothyroidismModels, BiologicalPrecision MedicineSoftwareThyroid HormonesThyroxineComputer SimulationFemaleHumansMaleThyroid HormonesThyroxinecombination hormone replacement therapymath modelmonotherapyoptimal dosingpersonalized medicineresidual thyroid functionsimulation model

Identifiers

PMID41585792
PMCPMC12827082

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.