Evidence map›Paper›PMID 40645612›Full record

ArticleThe Journal of clinical endocrinology and metabolism2026

Measuring Hypothyroidism Disease Control Using a TSH-based "Time-in-range".

Matthew D Ettleson, Nikita Thomas, Marcelo Ramirez, Wen Wan, Donald Hedeker, Antonio C Bianco, Neda Laiteerapong

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Matthew D EttlesonSection of Endocrinology, Diabetes, and Metabolism, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-0328-1752
Nikita ThomasSection of General Internal Medicine, University of Chicago, Chicago, IL 60637, USA.
Marcelo RamirezSection of Endocrinology, Diabetes, and Metabolism, University of Chicago, Chicago, IL 60637, USA.
Wen WanSection of General Internal Medicine, University of Chicago, Chicago, IL 60637, USA.
Donald HedekerDepartment of Public Health Sciences, University of Chicago, Chicago, IL 60637, USA.
Antonio C BiancoDivision of Endocrinology, Department of Internal Medicine, University of Texas Medical Branch, Galveston, TX 77555, USA.ORCID 0000-0001-7737-6813
Neda LaiteerapongSection of General Internal Medicine, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-0124-4325

Funding

Redefining and Improving Hypothyroidism Care Using Real-World DataK23DK138262 · NIDDK · UNIVERSITY OF CHICAGO · PI Matthew Ettleson · 2025 to 2026
$342k
Chicago Center for Diabetes Translation Research Enrichment ProgramDiabetes Research and Training Center DK020595National Institute of Diabetes and Digestive and Kidney DiseaseNIDDK NIH HHS K23 DK138262NIH HHSUniversity of Chicago DK092949University of Chicago DK138262
6 · The paper itself

Abstract

contextTime-in-range (TIR) using sequential TSH levels during levothyroxine (LT4) treatment could serve as a measure of chronic disease control in hypothyroidism.

objectivesPrimary objectives: (1) develop a method of estimating TIR and (2) determine the impact of patient sociodemographic characteristics on TIR. Secondary objective: investigate the relationship between TIR and time to cardiovascular event.

methodsThe study was conducted using longitudinal clinical data (2016-2022) from a single academic institution. Study participants were ≥18 years old, LT4-treated, and had ≥3 unique TSH levels collected over a minimum of 2 years. For each patient, TIR, time-above-range (TAR) and time-below-range (TBR) were estimated using linear interpolation of log-transformed TSH levels. Fitted linear regression was used to evaluate the relationship between TIR/TAR/TBR and LT4 dose over the study period. Generalized estimating equations were used to model annualized TIR/TAR/TBR with sociodemographic and clinical covariates. Survival analysis was used to characterize the relationship between TIR and occurrence of cardiovascular events.

resultsA total of 2752 LT4-treated patients had a median TIR of 86% over the study enrollment period (median, 3.8 years). For both males and females, LT4 dose was negatively correlated with TIR (R = -0.23 and -0.30, respectively; P < .001 for both). Male sex and Black race were associated with TIR <75% (OR, 1.30; P < .001; OR, 1.37; P < .001). The association between TAR and cardiovascular events approached significance (OR, 1.03 per +10% TAR; P = .078).

conclusionWe used TIR estimation to identify differences in disease control between sociodemographic groups and the impact of LT4 dose. In future studies, we aim to better characterize the association between TIR and clinically meaningful outcomes.

Indexed as

HypothyroidismThyrotropinThyroxineAdultAgedCardiovascular DiseasesFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedPrognosisTime FactorsThyrotropinThyroxinehypothyroidismlevothyroxinelongitudinal analysisquality of care

Identifiers

PMID40645612
PMCPMC12819852

What OpenQuestion holds

Textmetadata
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.