Evidence map›Paper›PMID 40351259›Full record

ArticleEndocrinology, diabetes & metabolism2025

Analysis of Cost and Treatment Effects in the Care Given for Graves' Disease: A Swedish Cost-Utility Analysis.

Lars Lindholm, Gabriel Sjölin, Annika Jonsson, Mirna Abraham-Nordling, Göran Wallin, TT‐12 Study Group, Helena Filipsson Nyström

Abstract read
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Article in Endocrinology, diabetes & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lars LindholmDepartment of Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Gabriel SjölinFaculty of Medicine and Health, Örebro University, Örebro, Sweden.ORCID 0000-0003-2367-8503
Annika JonssonDepartment of Health Planning, Region Jämtland Härjedalen, Östersund, Sweden.
Mirna Abraham-NordlingDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Göran WallinFaculty of Medicine and Health, Örebro University, Örebro, Sweden.
TT‐12 Study Group
Helena Filipsson NyströmNational Task Force for Hyperthyroidism, Swedish Knowledge Organisation, Region Västerbotten, Umeå, Sweden.

Funding

Faculty of Medicine at Lund University, Skåne Research Foundation, Research Funds of Skåne University HospitalNyckelfondenResearch foundation in the Uppsala and Örebro RegionSwedish state under the agreement between the Swedish government and the county councils, the ALF-agreement ALFGBG-717311Swedish state under the agreement between the Swedish government and the county councils, the ALF-agreement ALFGBG-790271
6 · The paper itself

Abstract

backgroundGuidelines in healthcare should be evidence-based, satisfy patient needs and improve patient outcome.

methodsWe performed a cost-utility analysis in Graves' disease (GD) and estimated incremental costs after the introduction of a national guideline adding the Graves' Recurrent Events After Therapy (GREAT) score with genetic determinants (GREAT+) to predict recurrence, a thyroid nurse, preoperative calcium/vitamin D treatment and thyroid-stimulating immunoglobulins.

findingsAntithyroid drugs (ATDs) were less costly, achieved 0.88 quality-adjusted life years (QALYs) over 8 years and dominated over radioactive iodine (RAI) treatment. The relevant incremental cost-effectiveness ratio was ATD versus thyroid surgery (Tx). Tx was more costly than ATD but was also more effective. The incremental cost-effectiveness ratio was equal to 40,488 Euro per QALY gained. In recurrent GD, the QALY weight for surgery after ATD was 0.76 compared with 0.79 when surgery was the initial treatment. If individuals requiring surgery could be identified at start of first treatment, QALYs would be higher (6.32) and the cost lower (13,945 Euro). The net cost increase after the new guideline was 17.6%, which was partially an effect from more time being spent with the thyroid nurse. If the GREAT+ score was also applied, the total increased net cost was 14.8% if 24% of the tested patients changed treatment to Tx.

interpretationTx was more cost-effective than RAI when ablative treatment is advocated. Prediction score for recurrence directing patients to earlier Tx is cost-effective and enables the introduction of a specialist thyroid nurse. Health economic evaluations should accompany future guidelines.

Indexed as

Antithyroid AgentsGraves DiseaseHealth Care CostsAdultCost-Benefit AnalysisFemaleHumansIodine RadioisotopesMaleMiddle AgedQuality-Adjusted Life YearsRecurrenceSwedenThyroidectomyTreatment OutcomeAntithyroid AgentsIodine Radioisotopescost‐effectiveness analysisGraves' diseasehealth economicsICERQALY

Identifiers

PMID40351259
PMCPMC11844766

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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.