Evidence map›Paper›PMID 39665258›Full record

ArticleThoracic cancer2025

Changing trends in lung cancer disease burden between China and Australia from 1990 to 2019 and its predictions.

Dan Zhao, Haijun Mu, Ping Yu, Chao Deng

Abstract read
In one paragraph

Article in Thoracic cancer, 2025. 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
–field-weighted citation impact
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.

  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

4 authors.

Dan ZhaoSchool of Medical Technology, Qiqihar Medical University, Qiqihar, China.
Haijun MuDepartment of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital, Qiqihar Medical University, Qiqihar, China.
Ping YuSchool of Computing and Information Technology, University of Wollongong, Wollongong, Australia.
Chao DengSchool of Medical, Indigenous and Health Sciences, and Molecular Horizons, University of Wollongong, Wollongong, Australia.ORCID https://orcid.org/0000-0003-1147-5741

Funding

The Qiqihar Academy of Medical Sciences QMSI2022L-8
6 · The paper itself

Abstract

purposeLung cancer (LC) is a leading cause of death and presents a substantial societal burden. This article compares its disease burden and risk factors between China and Australia to support health policymakers for LC prevention and treatment. MATERIALS AND

methodsThe data from the 2019 Global Burden of Disease Study were used to analyze disease temporal trends using Joinpoint regression model. The Bayesian age-period-cohort model was used for prediction. The population-attributable fraction (PAF) was used to analyze LC risk factors.

resultsIn 2019, the age-standardized rates (ASR) of incidence and of mortality of LC in China were 41.71/100 000 and 38.70/100 000, while Australia's rates were 30.45/100 000 and 23.46/100 000. It showed an increasing trend in China but a decreasing trend in Australia. By 2030, the ASR of incidence and mortality are predicted to be 47.21/100 000 and 41.54/100 000 in China, while Australia's rates will reach 30.09/100 000 and 23.3/100 000, respectively. Smoking is the most common risk factor for LC, followed by particulate matter and occupational carcinogenesis. The PAF of smoking dropped in Australia (from 68.38% to 53.75% in females; 77.41% to 58.47% in males) but increased in China (from 19.56% to 26.58% in females; 80.45% to 82.03% in males) from 1990 to 2019.

conclusionsThe disease burden of LC in China is rising, whereas in Australia, it is declining. China still faces a heavy LC burden. Risk factor analysis supported for further improving the compliance and enforcement of polices on tobacco control and environmental management to reduce this disease burden.

Indexed as

Cost of IllnessLung NeoplasmsAdultAgedAustraliaChinaFemaleGlobal Burden of DiseaseHumansIncidenceMaleMiddle AgedRisk FactorsAustraliaburden of diseaseChinalung cancerprediction

Identifiers

PMID39665258
PMCPMC11739132

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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.