Evidence map›Paper›PMID 35947867›Full record

SynthesisThe Journal of clinical endocrinology and metabolism2022

Prevalence of Subclinical Papillary Thyroid Cancer by Age: Meta-analysis of Autopsy Studies.

Natalia Arroyo, Katy J L Bell, Vivian Hsiao, Sara Fernandes-Taylor, Oguzhan Alagoz, Yichi Zhang, Louise Davies, David O Francis

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in The Journal of clinical endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Modeling Thyroid Cancer Epidemiology in the United States Using Papillary Thyroid Carcinoma Microsimulation Model.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2024
    Article
  5. Review
  6. Article
  7. Review
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

8 authors at 3 institutions in 2 countries.

Natalia ArroyoWisconsin Surgical Outcomes Research Program (WiSOR), Department of Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.
Katy J L BellSchool of Public Health, Faculty of Medicine and Health, University of Sydney, Camperdown NSW 2050, Sydney, New South Wales, Australia.
Vivian HsiaoDepartment of Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.
Sara Fernandes-TaylorWisconsin Surgical Outcomes Research Program (WiSOR), Department of Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.
Oguzhan AlagozDepartment of Industrial and Systems Engineering, College of Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0002-5133-1382
Yichi ZhangDepartment of Industrial and Systems Engineering, College of Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
Louise DaviesThe VA Outcomes Group, Department of Veterans Affairs Medical Center, White River Junction, VT 05009, USA.ORCID 0000-0001-5581-2813
David O FrancisWisconsin Surgical Outcomes Research Program (WiSOR), Department of Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.ORCID 0000-0003-1064-5892
University of Wisconsin–Madison · USDartmouth College · USThe University of Sydney · AU

Funding

University of Wisconsin Voice Research Training Program (T32)T32DC009401 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI Susan Lynn Thibeault · 2009 to 2026
$6.3M
Estimating and Mitigating Thyroid Cancer Overdiagnosis: A Mathematical Modeling ApproachR01CA251566 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI ALAGOZ, OGUZHAN, FRANCIS, DAVID O. · 2020 to 2024
$2.6M
NCI NIH HHS R01 CA251566NIDCD NIH HHS T32 DC009401
6 · The paper itself

Abstract

contextIt is not known how underlying subclinical papillary thyroid cancer (PTC) differs by age. This meta-analysis of autopsy studies investigates how subclinical PTC prevalence changes over the lifetime.

methodsWe searched PubMed, Embase, and Web of Science databases from inception to May 2021 for studies that reported the prevalence of PTC found at autopsy. Two investigators extracted the number of subclinical PTCs detected in selected age groups and extent of examination. A quality assessment tool was used to assess bias. Logistic regression models with random intercepts were used to pool the age-specific subclinical PTC prevalence estimates.

resultsOf 1773 studies screened, 16 studies with age-specific data met the inclusion criteria (n = 6286 autopsies). The pooled subclinical PTC prevalence was 12.9% (95% CI 7.8-16.8) in whole gland and 4.6% (2.5- 6.6) in partial gland examination. Age-specific prevalence estimates were ≤40 years, 11.5% (6.8-16.1); 41-60 years, 12.1% (7.6-16.5); 61-80 years, 12.7% (8-17.5); and 81+ years, 13.4% (7.9-18.9). Sex did not affect age-specific prevalence and there was no difference in prevalence between men and women in any age group. In the regression model, the OR of prevalence increasing by age group was 1.06 (0.92-1.2, P = .37).

conclusionThis meta-analysis shows the prevalence of subclinical PTC is stable across the lifespan. There is not a higher subclinical PTC prevalence in middle age, in contrast to higher observed incidence rates in this age group. These findings offer unique insights into the prevalence of subclinical PTC and its relationship to age.

Indexed as

Carcinoma, PapillaryThyroid NeoplasmsAdultAutopsyFemaleHumansMaleMiddle AgedPrevalenceThyroid Cancer, Papillaryautopsymeta-analysispapillaryprevalencethyroid cancer

Identifiers

PMID35947867
PMCPMC9516102
OpenAlexW4291021298

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.