Evidence map›Paper›PMID 32458639›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2020

Epidemiologic and Health Economic Evaluation of Cervical Cancer Screening in Rural China.

Fei Zhao, Ying Wen, Yang Li, Siyuan Tao, Li Ma, Yuqian Zhao, Le Dang, Ying Wang, Fanghui Zhao, Jinghe Lang and 2 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2020. 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
1.2field-weighted citation impact, top 21% 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, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Cervical cancer screening aided by artificial intelligence, China.Bulletin of the World Health Organization · 2023
    Article
  7. Article
  8. Article
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

12 authors at 2 institutions in 1 country.

Fei ZhaoWest China School of Public Health and West Fourth Hospital, Sichuan University, Chengdu, China.
Ying WenWest China School of Public Health and West Fourth Hospital, Sichuan University, Chengdu, China.
Yang LiNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Siyuan TaoWest China School of Public Health and West Fourth Hospital, Sichuan University, Chengdu, China.
Li MaDalian Medical University, Dalian, China.
Yuqian ZhaoNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Le DangNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ying WangWest China School of Public Health and West Fourth Hospital, Sichuan University, Chengdu, China.
Fanghui ZhaoNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jinghe LangPeking Union Medical college Hospital, Chinese Academy of Medical Sciences/Peking Union Medical College(CAMS/PUMC), Beijing, China.
Youlin QiaoNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chun-Xia YangWest China School of Public Health and West Fourth Hospital, Sichuan University, Chengdu, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNDalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer is preventable and curable by detected early and managed effectively. To explore the most economical and effective cervical cancer screening strategies would lay a solid foundation for reducing the health and economic burden of cervical cancer.

methodsA Markov model was established for a cohort of 100,000 female to simulate the natural history of cervical cancer. 18 screening strategies were estimated including careHPV, Thin prep cytologic (TCT), Visual inspection with acetic acid/ Lugol's iodine (VIA / VILI), careHPV in series with VIA / VILI, careHPV in series with TCT, three methods parallel connection every 1, 3, 5 years respectively. Model outcomes included cumulative risk of incidence and death of cervical cancer, quality-adjusted life years (QALYs), cost-effectiveness ratios (CERs), incremental cost-effectiveness ratios (ICERs), cost-utility ratios (CURs) and benefits.

resultsAccording to the results of epidemiological analysis, careHPV similar to the parallel connection every 1 year achieved highest epidemiological effects via reducing the cumulative risk of onset and death by more than 98 %. In health-economic terms, CER among all the screening strategies ranged from -756.34 to 113040.3 Yuan per year and CUR ranged from -169.91 to 11968.27 Yuan per QALY. The benefit ranged from -1629 to 996 Yuan. The incremental cost-effectiveness analysis showed that three methods in parallel every 1 year, TCT every 1 year, VIA/VILI every 1, 3, 5 years and careHPV every 5 years were dominant strategies.

conclusionConsidering the economic and health benefits of all the strategies, our results suggested careHPV every 3 or 5 years and VIA/VILI every 1 or 3 years eventually were more appropriate as screening methods in rural China.

Indexed as

Cost-Benefit AnalysisAdultCase-Control StudiesChinaEarly Detection of CancerFemaleFollow-Up StudiesHumansMarkov ChainsMiddle AgedPrognosisQuality-Adjusted Life YearsRural PopulationUterine Cervical DysplasiaUterine Cervical NeoplasmsCervical cancerrural ChinaScreening

Identifiers

PMID32458639
PMCPMC7541874
OpenAlexW3030813396

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.