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Record W4416017904 · doi:10.1177/10507256251390871

Core Outcome Set of the Surgical Treatment of Differentiated Thyroid Carcinoma: International Consensus by Delphi Study

2025· article· en· W4416017904 on OpenAlexfundno aff
Daniël J. van de Berg, Menno R. Vriens, Hanneke M. van Santen, Angelique Seur, Sarah Clement, A S Paul van Trotsenburg, Eveline Bruinstroop, Schelto Kruijff, Robin P. Peeters, Frederik A. Verburg, Romana T. Netea‐Maier, Faridi S. van Etten‐Jamaludin, Els J.�M. Nieveen van Dijkum, Joep P. M. Derikx, Anton F. Engelsman

Bibliographic record

VenueThyroid · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsnot available
FundersCancer Center AmsterdamUniversité de SfaxDebreceni EgyetemUniversità degli Studi di MessinaUniversità di PisaUniversità degli Studi di BresciaUniversità degli Studi di TorinoNational Cancer InstituteHospices Civils de LyonHospital for Sick ChildrenUniverzita Karlova v PrazeUniversità degli Studi di CagliariCentre National de la Recherche ScientifiqueCentre Hospitalier Universitaire VaudoisUniversità di CataniaSorbonne UniversitéUniversità degli Studi di MilanoVrije Universiteit BrusselSaint Petersburg State UniversityVšeobecná Fakultní Nemocnice v PrazeOdense UniversitetshospitalIstituto Auxologico ItalianoInstitut Gustave-RoussyVrije Universiteit AmsterdamAristotle University of ThessalonikiUniversità degli Studi di PaviaUniversiteit UtrechtUniversité de LausanneUniversidad de NavarraNational and Kapodistrian University of AthensKarolinska InstitutetMemorial Sloan-Kettering Cancer CenterInstitut National de la Santé et de la Recherche MédicaleUniversità degli Studi di SienaRijksuniversiteit GroningenYale UniversityAmsterdam University Medical Centerslékařská fakulta Univerzity KarlovyLeids Universitair Medisch CentrumUniversiteit LeidenUniversità Degli Studi di Modena e Reggio Emila
KeywordsDelphi methodStakeholderDelphiOutcome (game theory)GuidelineLikert scaleSet (abstract data type)Inclusion (mineral)

Abstract

fetched live from OpenAlex

Background: No international consensus exists on the selection and reporting of outcomes after differentiated thyroid cancer (DTC) surgery, hindering assessment of new treatments and guideline formation. Therefore, we aimed to develop an international core outcome set (COS) to be measured and reported in future studies investigating surgical treatment for DTC, as well as in clinical practice. Methods: COS development consisted of three phases: (1) collecting an initial outcome list through a literature review, (2) a two-round international Delphi process with experts and patient representatives, and (3) international expert panel meeting to finalize the COS. A steering committee including experts from varying medical (sub-)specialties and a patient representative from the Dutch Thyroid Patient Organization advised on the study protocol, Delphi rounds, and expert panel meeting. Experts were identified through scientific associations, international guidelines on DTC, ClinicalTrials.gov, and last authors of key studies and suggestions from the steering committee. The outcomes from the literature review were presented in successive rounds to experts and patient representatives to assess their importance for inclusion in the DTC surgical COS. Delphi results were analyzed for each stakeholder group on a 1–9 Likert scale. Consensus-in was defined as 70% or more of participants in both stakeholder groups rating the outcome 7–9 or 90% in one group. Consensus-out was defined as 70% or more in both groups rating the outcome 1–3. Consensus-out required agreement across both groups. Results: A total of 125 experts and 7 patient representatives from 35 countries across 5 continents completed all rounds. After two rounds, consensus was reached for 17 outcomes. Of these, 13 outcomes were ratified during the expert panel meeting: recurrence, persistent disease, location of metastatic lymph nodes, number of retrieved metastatic lymph nodes, postoperative thyroglobulin levels, surgical completeness, permanent recurrent laryngeal nerve paralysis due to surgery, permanent postoperative hypoparathyroidism, 30-day postoperative complication rate, accidental intraoperative injury to adjacent organ, unplanned reoperation rate, 30-day postoperative mortality, and quality of life. Conclusions: This international consensus on the COS for DTC surgery promotes consistent and appropriate outcome selection in clinical practice and research and may be incorporated into future study designs. Future steps include defining some outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.165
metaresearch head score (Gemma)0.201
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.835
Threshold uncertainty score0.874

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1650.201
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0060.004
Science and technology studies0.0020.003
Scholarly communication0.0030.003
Open science0.0020.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.219
GPT teacher head0.476
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
DomainMethods
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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