Evidence map›Paper›PMID 33139390›Full record

ArticleCMAJ open

Incidental detection, imaging modalities and temporal trends of differentiated thyroid cancer in Ontario: a population-based retrospective cohort study.

Todd A Norwood, Emmalin Buajitti, Lorraine L Lipscombe, Thérèse A Stukel, Laura C Rosella

Open access · diamondAbstract read
In one paragraph

Article in CMAJ open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. 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 4 institutions in 2 countries.

Todd A NorwoodDalla Lana School of Public Health (Norwood, Buajitti, Rosella), University of Toronto; Cancer Care Ontario (Norwood); Women's College Hospital (Lipscombe); Institute of Health Policy, Management and Evaluation (Lipscombe, Stukel), University of Toronto; ICES Central (Stukel, Rosella), Toronto, Ont. todd.norwood@mail.utoronto.ca.
Emmalin BuajittiDalla Lana School of Public Health (Norwood, Buajitti, Rosella), University of Toronto; Cancer Care Ontario (Norwood); Women's College Hospital (Lipscombe); Institute of Health Policy, Management and Evaluation (Lipscombe, Stukel), University of Toronto; ICES Central (Stukel, Rosella), Toronto, Ont.
Lorraine L LipscombeDalla Lana School of Public Health (Norwood, Buajitti, Rosella), University of Toronto; Cancer Care Ontario (Norwood); Women's College Hospital (Lipscombe); Institute of Health Policy, Management and Evaluation (Lipscombe, Stukel), University of Toronto; ICES Central (Stukel, Rosella), Toronto, Ont.
Thérèse A StukelDalla Lana School of Public Health (Norwood, Buajitti, Rosella), University of Toronto; Cancer Care Ontario (Norwood); Women's College Hospital (Lipscombe); Institute of Health Policy, Management and Evaluation (Lipscombe, Stukel), University of Toronto; ICES Central (Stukel, Rosella), Toronto, Ont.
Laura C RosellaDalla Lana School of Public Health (Norwood, Buajitti, Rosella), University of Toronto; Cancer Care Ontario (Norwood); Women's College Hospital (Lipscombe); Institute of Health Policy, Management and Evaluation (Lipscombe, Stukel), University of Toronto; ICES Central (Stukel, Rosella), Toronto, Ont.
3M (United States) · USCancer Care Ontario · CAUniversity of Toronto · CAWomen's College Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncidence rates of thyroid cancer in Ontario have increased more rapidly than those of any other cancer, whereas mortality rates have remained relatively stable. We evaluated the extent to which incidental detection of differentiated thyroid cancer during unrelated prediagnostic imaging procedures contributed to Ontario's incidence rates.

methodsWe conducted a retrospective cohort study involving Ontarians who received a diagnosis of differentiated thyroid cancer from 1998 to 2017 using linked health care administrative databases. We classified cases as incidentally detected if a nonthyroid diagnostic imaging test (e.g., computed tomography [CT]) preceded an index event (e.g., prediagnostic fine-needle aspiration biopsy); all other cases were nonincidentally detected cases. We used Joinpoint and negative binomial regressions to characterize sex-specific rates of differentiated thyroid cancer by incidentally detected status and to quantify potential age, diagnosis period and birth cohort effects.

resultsThe study included 36 531 patients with differentiated thyroid cancer, of which 78.7% were female. Incidentally detected cases increased from 7.0% to 11.0% of female patients and from 13.5% to 18.2% of male patients over the study period. Age-standardized incidence rates increased more rapidly for incidentally detected cases (4.2-fold for female and 3.7-fold for male patients) than for nonincidentally detected cases (2.6-fold for female and 3.0-fold for male patients;

interpretationIncidentally detected cases represent a large and increasing component of the observed increases in differentiated thyroid cancer in Ontario over the past 20 years, and CT scans are primarily associated with these cases despite the modality having similar, increasing rates of use compared with magnetic resonance imaging (1993-2004). Recent increases in rates of differentiated thyroid cancer among males and incidentally detected cases among females in Ontario appear to be unrelated to birth cohort effects.

Indexed as

AdenocarcinomaAdolescentAdultAgedAged, 80 and overAge DistributionBiopsy, Fine-NeedleFemaleHumansIncidenceIncidental FindingsMagnetic Resonance ImagingMaleMiddle AgedOntarioRegression Analysis

Identifiers

PMID33139390
PMCPMC7608946
OpenAlexW3096037482

What OpenQuestion holds

Textmetadata
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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.