Evidence map›Paper›PMID 39720646›Full record

Trial reportWorld journal of clinical oncology2024

New cheaper human papilloma virus mass screening strategy reduces cervical cancer incidence in Changsha city: A clinical trial.

Yue-E Zu, Si-Feng Wang, Xing-Xing Peng, Yong-Chun Wen, Xue-Xiang Shen, Xiao-Lan Wang, Wen-Bo Liao, Ding Jia, Ji-Yang Liu, Xiang-Wen Peng

Abstract readClinical Trial
In one paragraph

Trial report in World journal of clinical oncology, 2024. 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
  2. Human papillomavirus infection and screening strategies.World journal of clinical oncology · 2025
    Review
  3. 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

10 authors.

Yue-E ZuHunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care, Hunan Normal University, Changsha 410001, Hunan Province, China.
Si-Feng WangHunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care, Hunan Normal University, Changsha 410001, Hunan Province, China.
Xing-Xing PengHunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care, Hunan Normal University, Changsha 410001, Hunan Province, China.
Yong-Chun WenHunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care, Hunan Normal University, Changsha 410001, Hunan Province, China.
Xue-Xiang ShenChangsha Hospital for Maternal & Child Health Care Affiliated, Hunan Normal University, Changsha 410001, Hunan Province, China.
Xiao-Lan WangChangsha Hospital for Maternal & Child Health Care Affiliated, Hunan Normal University, Changsha 410001, Hunan Province, China.
Wen-Bo LiaoHunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care, Hunan Normal University, Changsha 410001, Hunan Province, China.
Ding JiaChangsha Hospital for Maternal & Child Health Care Affiliated, Hunan Normal University, Changsha 410001, Hunan Province, China.
Ji-Yang LiuDepartment of Administrative Office, Hunan Provincial Health Commission, Changsha 410001, Hunan Province, China.
Xiang-Wen PengHunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care, Hunan Normal University, Changsha 410001, Hunan Province, China. pxw1237@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer is the second leading cause of death in women worldwide, second only to breast cancer. Around 80% of women have been infected with human papillomavirus (HPV) in their lifetime. Early screening and treatment are effective means of preventing cervical cancer, but due to economic reasons, many parts of the world do not have free screening programs to protect women's health.

aimTo increase HPV cervical cancer screening in Changsha and reduce the incidence of cervical cancer.

methodsCervical cancer screening included gynecological examination, vaginal secretion examination and HPV high-risk typing testing. Cervical cytology examination (ThinPrep cytology test) was performed for individuals who test positive for HPV types other than 16 and 18. Vaginal colposcopy examination was performed for HPV16 and 18 positive individuals, as well as for those who were positive for ThinPrep cytology test. If the results of vaginal colposcopy examination were abnormal, histopathological examination was performed. We conducted a cost-benefit analysis after 4 years.

resultsFrom 2019 to 2022, 523437 women aged 35-64 years in Changsha city were screened and 73313 were positive, with a 14% positive rate. The detection rate of precancerous lesions of cervical cancer was 0.6% and the detection rate of cervical cancer was 0.037%. Among 311212 patients who underwent two cancers examinations, the incidence rate was reduced by more than half in the second examination. The average screening cost per woman was 120 RMB. The average cost of detecting early cases was 10619 RMB, with an early detection cost coefficient of 0.083.

conclusionOur screening strategy was effective and cost-effective, making it valuable for early diagnosis and treatment of cervical cancer. It is worth promoting in economically limited areas.

Indexed as

Cervical cancer screeningCost-effectiveHuman papillomavirusNew cheaper screening strategyThinPrep cytology test

Identifiers

PMID39720646
PMCPMC11514368

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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.