Evidence map›Paper›PMID 32071900›Full record

ArticleEuropean thyroid journal2020

The Impact of Regional Variation in Clinical Practice on Thyroid Cancer Diagnosis: A National Population-Based Study.

Brigitte Decallonne, Annick Van den Bruel, Gilles Macq, Nathalie Elaut, Harlinde De Schutter

Open access · bronzeAbstract read
In one paragraph

Article in European thyroid journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Differential Ultrasound Rates Mirror Sex Disparities in Thyroid Cancer.Thyroid : official journal of the American Thyroid Association · 2024
    Article
  3. Article
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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

5 authors at 1 institution in 1 country.

Brigitte DecallonneDepartment of Endocrinology, University Hospitals Leuven, Leuven, Belgium.
Annick Van den BruelDepartment of Endocrinology, General Hospital St Jan, Bruges, Belgium.
Gilles MacqDepartment of Research, Belgian Cancer Registry, Brussels, Belgium.
Nathalie ElautDepartment of Research, Belgian Cancer Registry, Brussels, Belgium.
Harlinde De SchutterDepartment of Research, Belgian Cancer Registry, Brussels, Belgium.
KU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRegional variation in thyroid cancer incidence in Belgium, most pronounced for low risk cancer, was previously shown to be related to variation in clinical practice, with higher thyroid surgery rates and lower proportions of preoperative fine-needle aspiration (FNA) in regions with high thyroid cancer incidence (period 2004-2006). The objective of this study was to investigate regional thyroid cancer incidence variation in relation with variation in thyroid surgery threshold in a more recent Belgian thyroid cancer cohort.

methodsA population-based cohort of thyroid cancer patients that underwent a (near) total thyroidectomy in the period 2009-2011 (

resultsAlthough a lower proportion of FNA in the high thyroid cancer incidence region persisted in the period 2009-2011 (41.2% [31.9-50.9] vs. 72.9% [64.9-79.7] in the low-incidence region (LIR),

conclusionInterregional differences in use of FNA and surgical thyroid specimen weight are consistent with an inverse relation between thyroid cancer incidence and thyroid surgery threshold, carrying risk for overdiagnosis.

Indexed as

Fine-needle aspirationIncidenceOverdiagnosisThyroid cancerThyroid weight

Identifiers

PMID32071900
PMCPMC7024889
OpenAlexW2990020172

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.