Evidence map›Paper›PMID 34928965›Full record

ArticlePloS one2021

Prevalence and factors associated with chronic use of levothyroxine: A cohort study.

Camilla Janett-Pellegri, Lea Wildisen, Martin Feller, Cinzia Del Giovane, Elisavet Moutzouri, Oliver Grolimund, Patrick Walter, Gérard Waeber, Pedro Marques-Vidal, Peter Vollenweider and 1 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Measuring Hypothyroidism Disease Control Using a TSH-based "Time-in-range".The Journal of clinical endocrinology and metabolism · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. In Reply.Deutsches Arzteblatt international · 2024
    Article
  8. Over- and Undertreatment With Levothyroxine.Deutsches Arzteblatt international · 2023
    Observational
  9. Article
  10. Review
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

11 authors.

Camilla Janett-PellegriDepartment of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Lea WildisenInstitute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.
Martin FellerDepartment of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Cinzia Del GiovaneInstitute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.
Elisavet MoutzouriDepartment of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Oliver GrolimundSASIS AG, Solothurn, Switzerland.
Patrick WalterSantésuisse, Solothurn, Switzerland.
Gérard WaeberDepartment of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.
Pedro Marques-VidalDepartment of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-4548-8500
Peter VollenweiderDepartment of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.
Nicolas RodondiDepartment of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceLevothyroxine prescriptions are rising worldwide. However, there are few data on factors associated with chronic use.

objectiveTo assess the prevalence of chronic levothyroxine use, its rank among other chronic drugs and factors associated with chronic use. To assess the proportion of users outside the therapeutic range of thyroid-stimulating hormone (TSH).

designCohort study (CoLaus|PsyCoLaus) with recruitment from 2003 to 2006. Follow-ups occurred 5 and 10 years after baseline.

participantsA random sample of Lausanne (Switzerland) inhabitants aged 35-75 years. MAIN OUTCOMES: We evaluated the prevalence of chronic levothyroxine use and we then ranked it among the other most used chronic drugs. The ranking was compared to data from health insurance across the country. We assessed the association between each factor and chronic levothyroxine use in multivariable logistic regression models. The proportion of chronic levothyroxine users outside the usual TSH therapeutic range was assessed.

results4,334 participants were included in the analysis (mean±SD age 62.8±10.4 years, 54.9% women). 166 (3.8%) participants were chronic levothyroxine users. Levothyroxine was the second most prescribed chronic drug after aspirin in the cohort (8.2%) and the third most prescribed when using Swiss-wide insurance data. In multivariable analysis, chronic levothyroxine use was associated with increasing age [odds ratio 1.03, 95% confidence interval 1.01-1.05 per 1-year increase]; female sex [11.87 (5.24-26.89)]; BMI [1.06 (1.02-1.09) per 1-kg/m2 increase]; number of concomitant drugs [1.22 (1.16-1.29) per 1-drug increase]; and family history of thyroid pathologies [2.18 (1.37-3.48)]. Among chronic levothyroxine users with thyroid hormones assessment (n = 157), 42 (27%) were outside the TSH therapeutic range (17% overtreated and 10% undertreated).

conclusionsIn this population-based study, levothyroxine ranked second among chronic drugs. Age, female sex, BMI, number of drugs and family history of thyroid pathologies were associated with chronic levothyroxine use. More than one in four chronic users were over- or undertreated.

Indexed as

AdultAgedCohort StudiesDiabetes MellitusDrug UtilizationFemaleHumansHypertensionMaleMiddle AgedThyroid GlandThyroxineThyroxine

Identifiers

PMID34928965
PMCPMC8687586

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Registered trials

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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 OpenQuestion graph.