Evidence map›Paper›PMID 40172327›Full record

ArticleEuropean thyroid journal2025

High-dose versus low-dose block-and-replace treatment for a first episode of Graves' disease.

Arnaud Smolders, Aglaia Kyrilli, Stefan Matei Constantinescu, Bernard Corvilain, Chantal Daumerie, Maria-Cristina Burlacu

Abstract readMulticenter StudyComparative Study
In one paragraph

Article in European thyroid journal, 2025. 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

6 authors.

Arnaud Smolders
Aglaia Kyrilli
Stefan Matei ConstantinescuORCID 0000-0003-2665-9455
Bernard Corvilain
Chantal Daumerie
Maria-Cristina BurlacuORCID 0000-0002-8437-3933

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The optimal treatment with antithyroid drugs (ATDs) for a first episode of Graves' disease (GD) remains controversial. Methods: Retrospective, two academic centres study of newly diagnosed GD between 1990 and 2022, treated with ATD in block-and-replace (B+R) regimen for at least 12 months and followed up for at least 1 year after ATD discontinuation or until disease relapse. Sixty patients received high-dose B+R (HD) with fixed ATD dose maintained during the study, and 60 patients received low-dose B+R (LD) with lower ATD dose adjusted during the study. Results: Baseline characteristics were similar in both groups. The point-prevalence of euthyroidism was not different between HD and LD (38 vs 47%, P = 0.460 at 6 months, 69 vs 82%, P = 0.194 at 12 months, 70 vs 78%, P = 0.370 at 18 months, respectively). At 18 months, 27% HD vs 38% LD (P = 0.242) had thyroid eye disease. There were no differences in the number or type of ATD-related adverse events (AE) (no AE 73 vs 78%, P = 0.707). LD received mean lower ATD dose (15.3 ± 4.2 vs 30.0 ± 0.0 mg/day, P < 0.001) and lower levothyroxine dose (72.6 ± 16.7 vs 100.6 ± 24.5 μg/day, P < 0.001). After a first course of ATD, 63% of HD patients and 60% of LD patients relapsed (P = 0.707) after a median time (interquartile range) of 11.0 (18) vs 7.0 (19) months (P = 0.109). Conclusion: We observed similar relapse rates in patients with a first episode of GD receiving up to 50% less ATD and 30% less levothyroxine dose than high-dose B+R regimen.

Indexed as

Antithyroid AgentsGraves DiseaseAdultAgedDose-Response Relationship, DrugFemaleHumansMaleMiddle AgedRecurrenceRetrospective StudiesThyroxineTreatment OutcomeAntithyroid AgentsThyroxineantithyroid drugsblock-and-replacedoseGraves’ disease

Identifiers

PMID40172327
PMCPMC12020463

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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.