Evidence map›Paper›PMID 39866461›Full record

ArticleHeliyon2025

The trend of DALY of breast, colorectal, oral, and cervical cancers in Taiwan in 2005-2017.

Chun-Hui Lin, Cheng-Chieh Hsieh, Si-Yu Chen, Hong-Ru Chen, Szu-Chieh Chen

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chun-Hui LinDepartment of Public Health, Chung Shan Medical University, Taichung, 40201, Taiwan.
Cheng-Chieh HsiehDepartment of Public Health, Chung Shan Medical University, Taichung, 40201, Taiwan.
Si-Yu ChenDepartment of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 10617, Taiwan.
Hong-Ru ChenDepartment of Public Health, Chung Shan Medical University, Taichung, 40201, Taiwan.
Szu-Chieh ChenDepartment of Public Health, Chung Shan Medical University, Taichung, 40201, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study used the Disability-Adjusted Life Years (DALYs) to quantify the long-term trends for four cancers (oral cancer, colorectal cancer, breast cancer, and cervical cancer) that have undergone cancer screening in Taiwan. Methods: DALYs were calculated as the sum of Years of Life Lost (YLL) due to premature mortality and Years Lived with Disability (YLD). YLLs were determined using cancer-specific mortality data from the Health Promotion Administration (HPA), Ministry of Health and Welfare, based on age-specific life expectancy. YLDs were estimated by combining the incidence rates of the cancers, average disability durations, and disability weights, with data sourced from the Taiwan Cancer Registry. Results were expressed as DALYs per 100,000 population. Results: The disease burden has significantly increased over the past 12 years. Oral cancer rose from 263 to 368 DALYs per 100,000 population (40 % increase), colorectal cancer from 343 to 563 DALYs (64 % increase), and breast cancer from 446 to 782 DALYs (75 % increase), while the burden of cervical cancer decreased from 168 to 147 DALYs per 100,000 population from 2010 to 2017, showing a 13 % reduction. At the cancer stages, the impact of YLDs was mostly at cancer stage IV (oral cancer), cancer stage 0 (colorectal and cervical cancer), and stage I (breast cancer). Conclusion: Oral cancer increased by 40 %, colorectal cancer by 64 %, and breast cancer by 75 % from 2005 to 2017, while cervical cancer decreased by 13 % between 2010 and 2017. YLD contributions were highest in stage IV for oral cancer, stage 0 for colorectal and cervical cancers, and stage I for breast cancer. The highest DALYs consistently occurred in the 50-69 age group across all cancer types, highlighting the significant burden on middle-aged populations.

Indexed as

CancerDALYDisease burdenIncidenceMortalityPublic healthTaiwan

Identifiers

PMID39866461
PMCPMC11760321

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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.