Evidence map›Paper›PMID 36800077›Full record

ReviewAdvances in therapy2023

Breast Cancer Screening Should Embrace Precision Medicine: Evidence by Reviewing Economic Evaluations in China.

Jingjing Jiang, Shan Jiang, Antonio Ahumada-Canale, Zhuo Chen, Lei Si, Yawen Jiang, Li Yang, Yuanyuan Gu

Open access · hybridAbstract readReview
In one paragraph

Review in Advances in therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
3.5field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.

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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

8 authors at 7 institutions in 5 countries.

Jingjing Jiang *Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Shan Jiang *School of Population and Public Health, The University of British Columbia, Vancouver, BC, Canada.
Antonio Ahumada-CanaleMacquarie University Centre for the Health Economy, Macquarie Business School & Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia.
Zhuo ChenDepartment of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, USA.
Lei SiSchool of Health Sciences, Western Sydney University, Campbelltown, Australia.
Yawen JiangSchool of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, Guangdong, China.
Li YangSchool of Public Health, Peking University, Beijing, China. lyang@bjmu.edu.cn.
Yuanyuan GuMacquarie University Centre for the Health Economy, Macquarie Business School & Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia. yuanyuan.gu@mq.edu.au.
Macquarie University · AUCamden and Campbelltown Hospitals · AUPeking University · CNSun Yat-sen University · CNUniversity of British Columbia · CAUniversity of Nottingham Ningbo China · CNUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cost-effectiveness of conventional population-based breast cancer screening strategies (e.g. mammography) has been found controversial, while evidence shows that genetic testing for early detection of pathogenic variants is cost-effective. We aimed to review the economic evaluations of breast cancer screening in China to provide an information summary for future research on this topic. We searched the literature to identify the economic evaluations that examined breast cancer screening and testing in China, supplemented by hand-searching the reference lists of the included studies. We finally included five studies satisfying our inclusion criteria. Four articles examined mammography while the rest investigated multigene testing. The existing breast cancer screening programmes were found to be cost-effective among urban Chinese women, but one study concluded that they might cause harm to women in rural areas. Contextual factors, such as data absence, urban-rural disparity, willingness-to-pay threshold, and model design, imposed barriers to cost-effectiveness analysis. Multigene testing was found to be cost-effective and has a promising population impact among all women with breast cancer in China. Future research should investigate the cost-effectiveness of screening and identifying breast cancer through precision medicine technologies, including genetic testing, genome sequencing, cascade testing, and the return of secondary findings.

Indexed as

Breast NeoplasmsChinaCost-Benefit AnalysisEarly Detection of CancerFemaleHumansPrecision MedicineBreast cancerChinaCost-effectiveness analysisEconomic evaluationPrecision medicineScreening

Identifiers

PMID36800077
PMCPMC10070309
OpenAlexW4321169417

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.