Evidence map›Paper›PMID 38780968›Full record

ArticleThe Journal of clinical endocrinology and metabolism2024

TSH Trajectories During Levothyroxine Treatment in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) Cohort.

Matthew D Ettleson, Gustavo C E Penna, Wen Wan, Isabela M Benseñor, Neda Laiteerapong, Antonio C Bianco

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Measuring Hypothyroidism Disease Control Using a TSH-based "Time-in-range".The Journal of clinical endocrinology and metabolism · 2026
    Article
  5. Review
  6. Optimizing the treatment of hypothyroidism.Nature reviews. Endocrinology · 2024
    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

6 authors.

Matthew D EttlesonSection of Endocrinology, Diabetes, and Metabolism, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-0328-1752
Gustavo C E PennaSection 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.
Isabela M BenseñorCenter for Clinical and Epidemiological Research, Clinical Hospital, Department of Medicine, University of Sao Paulo, Sao Paulo, 05508-000, Brazil.
Neda LaiteerapongSection of General Internal Medicine, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-0124-4325
Antonio C BiancoSection of Endocrinology, Diabetes, and Metabolism, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0001-7737-6813

Funding

TRANSGENIC COREP60DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI BELL, GRAEME I · 1985 to 2012
$25.5M
Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI RONALD N COHEN · 2013 to 2026
$20.9M
Brazilian Ministry of Health 01060010.00RSBrazilian National Research CouncilDiabetes Research and Training CenterFAPESP 2015/17213-2National Institute of Diabetes and Digestive and Kidney DiseaseNIDDK NIH HHS P30 DK020595NIDDK NIH HHS P60 DK020595NIH HHSUniversity of Chicago DK020595
6 · The paper itself

Abstract

contextThyroid-stimulating hormone (TSH) trajectory classification represents a novel approach to defining the adequacy of levothyroxine (LT4) treatment for hypothyroidism over time.

objectiveThis is a proof of principle study that uses longitudinal clinical data, including thyroid hormone levels from a large prospective study to define classes of TSH trajectories and examine changes in cardiovascular (CV) health markers over the study period.

methodsGrowth mixture modeling (GMM), including latent class growth analysis (LCGA), was used to classify LT4-treated individuals participating in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) based on serial TSH levels. Repeated measure analyses were then utilized to assess within-class changes in blood pressure, lipid levels, hemoglobin A1c, and CV-related medication utilization.

resultsFrom the 621 LT4-treated study participants, the best-fit GMM approach identified 4 TSH trajectory classes, as defined by their relationship to the normal TSH range: (1) high-high normal TSH, (2) normal TSH, (3) normal to low TSH, and (4) low to normal TSH. Notably, the average baseline LT4 dose was lowest in the high-high normal TSH group (77.7 µg, P < .001). There were no significant differences in CV health markers between the classes at baseline. At least 1 significant difference in CV markers occurred in all classes, highlighted by the low to normal class, in which total and high-density lipoprotein cholesterol, triglycerides, and A1c all increased significantly (P = .049, P < .001, P < .001, and P = .001, respectively). Utilization of antihypertensive, antihyperlipidemic, and antidiabetes medications increased in all classes.

conclusionGMM/LCGA represents a viable approach to define and examine LT4 treatment by TSH trajectory. More comprehensive datasets should allow for more complex trajectory modeling and analysis of clinical outcome differences between trajectory classes.

Indexed as

HypothyroidismThyrotropinThyroxineAdultAgedBiomarkersBrazilCardiovascular DiseasesFemaleHormone Replacement TherapyHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesBiomarkersThyrotropinThyroxinecardiovascular outcomeshypothyroidismlevothyroxinelongitudinal analysis

Identifiers

PMID38780968
PMCPMC11570358

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.