Evidence map›Paper›PMID 37306154›Full record

ArticleCancer medicine2023

Trend and projection of larynx cancer incidence and mortality in China from 1990 to 2044: A Bayesian age-period-cohort modeling study.

Enlin Ye, Jiasheng Huang, Jia Wang, Yumei Zhao, Dongdong Niu, Jie Liu, Xueying Huang, Suru Yue, Xuefei Hou, Jiayuan Wu

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Diagnostic accuracy of deep learning-based algorithms in laryngoscopy: a systematic review and meta-analysis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    Pooled it
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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

10 authors at 1 institution in 1 country.

Enlin YeClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.ORCID 0009-0000-2243-2136
Jiasheng HuangClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Jia WangClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Yumei ZhaoClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.ORCID 0000-0001-9551-4749
Dongdong NiuClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Jie LiuClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Xueying HuangClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Suru YueClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Xuefei HouClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Jiayuan WuClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Guangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLarynx cancer is one of the most common cancers in head and neck, and imposes heavy burden on individual and societies. A comprehensive understanding of the burden of larynx cancer is necessary to improve prevention and control strategies. However, the secular trend of larynx cancer incidence and mortality in China remains unclear.

methodsThe incidence and deaths rates of larynx cancer from 1990 to 2019 were collected from the Global Burden of Disease Study 2019 database. The temporal trend of larynx cancer was analyzed using a joinpoint regression model. The age-period-cohort model was used to explore the age, period, and cohort effects on larynx cancer and predict future trends up to 2044.

resultsFrom 1990 to 2019, the age-standardized incidence rate of larynx cancer in China increased by 1.3% (95% CI 1.1 to 1.5) in males, but decreased by 0.5% (95% CI -0.1 to 0) in females. The age-standardized mortality rate of larynx cancer in China decreased by 0.9% (95% CI -1.1 to -0.6) and 2.2% (95% CI -2.8 to -1.7) in males and females, respectively. Among the four risk factors, smoking and alcohol use contributed to a heavier burden compared to occupational exposure to asbestos and sulfuric acid with respect to mortality. Age effects showed that the incidence and deaths of larynx cancer were concentrated in people older than 50 years old. Period effects exerted the most significant effect on larynx cancer incidence for males. In terms of cohort effects, people born in the earlier cohorts presented a higher risk of larynx cancer compared with the later cohorts. From 2020 to 2044, the age-standardized incidence rates of larynx cancer continued to increase in males, whereas the age-standardized mortality rates continued to decrease in both males and females.

conclusionThe burden of larynx cancer in China has a significant gender difference. The age-standardized incidence rates will continue to increase in males up to 2044. The disease pattern and risk factors of larynx cancer should be comprehensively studied to promote the development of timely intervention measures and relieve the burden effectively.

Indexed as

Laryngeal NeoplasmsBayes TheoremChinaFemaleHumansIncidenceMaleMiddle AgedRisk Factorsage-period-cohort modeldeathsincidencejoinpoint regression analysislarynx cancer

Identifiers

PMID37306154
PMCPMC10469639
OpenAlexW4380291466

What OpenQuestion holds

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LicenceCC BY
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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.