Evidence map›Paper›PMID 33082385›Full record

ArticleScientific reports2020

A national database analysis for factors associated with thyroid cancer occurrence.

Joon-Hyop Lee, Sora Youn, Sohee Jung, Kwangsoo Kim, Young Jun Chai, Yoo Seung Chung, Won Seo Park, Kyu Eun Lee, Ka Hee Yi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Novel Inhibitor-Based Therapies for Thyroid Cancer-An Update.International journal of molecular sciences · 2021
    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

9 authors at 5 institutions in 1 country.

Joon-Hyop LeeDepartment of Surgery, Gachon University College of Medicine, Gil Medical Center, Incheon, Korea.
Sora YounDivision of Clinical Bioinformatics, Biomedical Research Institute, Seoul National University Hospital, 71 Daehak-ro, Jongno-gu, Seoul, 03082, Korea.
Sohee JungDivision of Clinical Bioinformatics, Biomedical Research Institute, Seoul National University Hospital, 71 Daehak-ro, Jongno-gu, Seoul, 03082, Korea.
Kwangsoo KimDivision of Clinical Bioinformatics, Biomedical Research Institute, Seoul National University Hospital, 71 Daehak-ro, Jongno-gu, Seoul, 03082, Korea. kksoo716@gmail.com.
Young Jun ChaiDepartment of Surgery, Seoul National University Boramae Medical Center, 20 Boramaep-ro 5-gil, Dongjak-gu, Seoul, 07061, Korea. kevinjoon@naver.com.
Yoo Seung ChungDepartment of Surgery, Gachon University College of Medicine, Gil Medical Center, Incheon, Korea.
Won Seo ParkDepartment of Surgery, Kyung Hee University School of Medicine, Seoul, Korea.
Kyu Eun LeeDepartment of Surgery, Seoul National University Hospital, Seoul, Korea.
Ka Hee YiDepartment of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea.
Seoul National University Hospital · KRGachon University · KRKyung Hee University · KRSeoul Metropolitan Government · KRSNUH SMG-SNU Boramae Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to analyze the associations between thyroid cancer and environmental factors, we analyzed the national sample cohort representative of the entire population provided by the Korean National Health Insurance Service database record from 2006 to 2015. The cohort was categorized according to age, body mass index, income, residential areas, frequency of exercise, frequency of alcohol drinking, diet, presence or absence of hyperthyroidism, presence or absence of hypothyroidism, and smoking data. Age ≥ 55 years (HR 0.68, 95% CI 0.53-0.88), lower income (0.57, 0.40-0.80), and current smoking (0.69, 0.55-0.85) were associated with lower thyroid cancer occurrence among men. Body mass index (BMI) ≥ 25 kg/m2 (1.51, 1.26-1.82), higher income (1.44, 1.19-1.76), urban residence (1.24, 1.03-1.49), and presence of hypothyroidism (3.31, 2.38-4.61) or hyperthyroidism (2.46, 1.75-3.46) were associated with higher thyroid cancer occurrence among men. Age ≥ 55 years (0.63, 0.56-0.71), moderate alcohol drinking (0.87, 0.77-0.99), and current smoking (0.56, 0.37-0.85) were associated with lower thyroid cancer occurrence among women. BMI ≥ 25 kg/m2 (1.41, 1.26-1.57), frequent exercise (1.21, 1.07-1.36), higher income (1.18, 1.06-1.32), urban residence (1.17, 1.06-1.29), and presence of hypothyroidism (1.60, 1.40-1.82) or hyperthyroidism (1.38, 1.19-1.61) were associated with higher thyroid cancer occurrence among women. In conclusion, age ≥ 55 years and current smoking were associated with lower thyroid cancer occurrence, while BMI ≥ 25 kg/m2, higher income, urban residence, hypothyroidism, and hyperthyroidism were associated with higher occurrence in both men and women.

Indexed as

Age FactorsBody Mass IndexCohort StudiesFemaleHumansHypothyroidismIncidenceKoreaMaleMiddle AgedPrevalenceRisk FactorsSmokingThyroid NeoplasmsUrban Population

Identifiers

PMID33082385
PMCPMC7576121
OpenAlexW3094112831

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.