Evidence map›Paper›PMID 38635315›Full record

ArticleJMIR public health and surveillance2024

Projected Time for the Elimination of Cervical Cancer Under Various Intervention Scenarios: Age-Period-Cohort Macrosimulation Study.

Yi-Chu Chen, Yun-Yuan Chen, Shih-Yung Su, Jing-Rong Jhuang, Chun-Ju Chiang, Ya-Wen Yang, Li-Ju Lin, Chao-Chun Wu, Wen-Chung Lee

Abstract read
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Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

9 authors.

Yi-Chu ChenInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.ORCID 0009-0007-3477-2526
Yun-Yuan ChenHead Office, Taiwan Blood Services Foundation, Taipei, Taiwan.ORCID 0000-0002-7583-3790
Shih-Yung SuMaster Program in Statistics, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-9195-6897
Jing-Rong JhuangInstitute of Statistical Science, Academia Sinica, Taipei, Taiwan.ORCID 0000-0002-0760-921X
Chun-Ju ChiangInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-1330-5319
Ya-Wen YangTaiwan Cancer Registry, Taipei city, Taiwan.ORCID 0000-0001-6330-6830
Li-Ju LinHealth Promotion Administration, Ministry of Health and Welfare, Taipei, Taiwan.ORCID 0009-0004-7489-7217
Chao-Chun WuHealth Promotion Administration, Ministry of Health and Welfare, Taipei, Taiwan.ORCID 0009-0002-7435-7101
Wen-Chung LeeInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.ORCID 0000-0003-3171-7672

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe World Health Organization aims for the global elimination of cervical cancer, necessitating modeling studies to forecast long-term outcomes.

objectiveThis paper introduces a macrosimulation framework using age-period-cohort modeling and population attributable fractions to predict the timeline for eliminating cervical cancer in Taiwan.

methodsData for cervical cancer cases from 1997 to 2016 were obtained from the Taiwan Cancer Registry. Future incidence rates under the current approach and various intervention strategies, such as scaled-up screening (cytology based or human papillomavirus [HPV] based) and HPV vaccination, were projected.

resultsOur projections indicate that Taiwan could eliminate cervical cancer by 2050 with either 70% compliance in cytology-based or HPV-based screening or 90% HPV vaccination coverage. The years projected for elimination are 2047 and 2035 for cytology-based and HPV-based screening, respectively; 2050 for vaccination alone; and 2038 and 2033 for combined screening and vaccination approaches.

conclusionsThe age-period-cohort macrosimulation framework offers a valuable policy analysis tool for cervical cancer control. Our findings can inform strategies in other high-incidence countries, serving as a benchmark for global efforts to eliminate the disease.

Indexed as

Papillomavirus InfectionsUterine Cervical NeoplasmsBenchmarkingCohort StudiesFemaleHumansTaiwanage-period-cohort modelcancer screeningcervical cancercervical screeningHPVhuman papillomavirusinterventionmacrosimulationpopulation attributable fractionpublic health interventionwomen

Identifiers

PMID38635315
PMCPMC11066752

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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.