Evidence map›Paper›PMID 31949399›Full record

ArticleChinese journal of cancer research = Chung-kuo yen cheng yen chiu2019

Economic evaluation of cervical cancer screening strategies in urban China.

Li Ma, Yuying Wang, Xiaohong Gao, Yi Dai, Yu Zhang, Zhaojing Wang, Xiaoxia Wang, Limin Wang, Jing Jiang, Xinhua Jing and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chinese journal of cancer research = Chung-kuo yen cheng yen chiu, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. [Effectiveness of Different Testing Strategies Applied for Cervical Cancer Screening in Shuangliu District, Chengdu City].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2022
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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

14 authors.

Li MaDepartment of Epidemiology, School of Public Health, Dalian Medical University, Dalian 116044, China.
Yuying WangDepartment of Epidemiology, School of Public Health, Dalian Medical University, Dalian 116044, China.
Xiaohong GaoDepartment of Epidemiology, School of Public Health, Dalian Medical University, Dalian 116044, China.
Yi DaiDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100730, China.
Yu ZhangDepartment of Epidemiology, School of Public Health, Dalian Medical University, Dalian 116044, China.
Zhaojing WangDepartment of Epidemiology, School of Public Health, Dalian Medical University, Dalian 116044, China.
Xiaoxia WangDepartment of Obstetrics and Gynecology, Wafangdian Maternal and Child Health Care Hospital, Dalian 116300, China.
Limin WangDepartment of Obstetrics and Gynecology, Wafangdian Maternal and Child Health Care Hospital, Dalian 116300, China.
Jing JiangDepartment of Obstetrics and Gynecology, Wafangdian Maternal and Child Health Care Hospital, Dalian 116300, China.
Xinhua JingDepartment of Obstetrics and Gynecology, Wafangdian Maternal and Child Health Care Hospital, Dalian 116300, China.
Chunxia YangDepartment of Epidemiology and Biostatistics, West China School of Public Health, Sichuan University, Chengdu 610041, China.
Fanghui ZhaoDepartment of Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Jinghe LangDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100730, China.
Youlin QiaoDepartment of Epidemiology, School of Public Health, Dalian Medical University, Dalian 116044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study evaluated the feasibility of different cervical cancer screening strategies in urban China.

methodsA Markov model was constructed to simulate a hypothetical cohort of 100,000 females aged 30-59 years in a 20-year period. Screening strategies included liquid-based cytology (LBC) every three years, human papillomavirus (HPV) DNA testing every three and five years, respectively, and a combination of HPV DNA testing and LBC (HPV+LBC) every three and five years, respectively. Model outcomes included cumulative incidence over 20 years, cumulative risk of cervical cancer, costs, life year saved (LYS), quality-adjusted life years (QALYs) and benefits. The cost-effectiveness ratios (CERs), incremental cost-effectiveness ratios (ICERs), cost-utility ratios (CURs), and benefit-cost ratios (BCRs) were used as outcomes in the health economic evaluation analysis. Univariate sensitivity analyses were performed to examine the stability of the results.

resultsThe cumulative incidence of the five screening strategies ranged from 833.02 to 1,158.07 cases per 100,000 females. HPV DNA testing was most effective in reducing the cumulative risk of cervical cancer, saving life years and QALYs and gaining benefits. The CERs of HPV DNA testing every three and five years, and LBC every three years were considered to be very cost-effective if they were below China's GDP per capita. The CERs of HPV+LBC were considered to be cost-effective if they were below three times GDP per capita. The incremental cost-effectiveness analysis showed that HPV DNA testing every three and five years, LBC every three years and HPV+LBC every five years were dominant strategies.

conclusionsThe findings of this study indicated that HPV DNA testing every five years or LBC every three years should be recommended in urban China.

Indexed as

Cervical cancereconomic evaluationMarkov model

Identifiers

PMID31949399
PMCPMC6955165

What OpenQuestion holds

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Registered trials

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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.