Evidence map›Paper›PMID 37266660›Full record

ArticleJournal of cancer research and clinical oncology2023

Evaluation of a population-based breast cancer screening in North China.

Siqi Wu, Di Liang, Jin Shi, Daojuan Li, Yanyu Liu, Yahui Hao, Miaomiao Shi, Xinyu Du, Yutong He

Open access · hybridAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
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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 at 2 institutions in 1 country.

Siqi WuCancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China.
Di LiangCancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China.
Jin ShiCancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China.
Daojuan LiCancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China.
Yanyu LiuCancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China.
Yahui HaoCancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China.
Miaomiao ShiCancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China.
Xinyu DuCancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China.
Yutong HeCancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China. heyutong@hebmu.edu.cn.
Hebei Medical University · CNFourth Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite mammography-based screening for breast cancer has been conducted in many countries, there are still little data on participation and diagnostic yield in population-based breast cancer screening in China.

methodsWe enrolled 151,973 eligible women from four cities in Hebei Province within the period 2013-2021 and followed up until December 31, 2021. Participants aged 40-74 who assessed as high risk were invited to undergo breast ultrasound and mammography examination. Overall and group-specific participation rates were calculated. Multivariable analyses were used to estimate the factors associated with participation rates. The diagnostic yield of both screening and no screening groups was calculated. We further analyzed the stage distribution and molecular subtype of breast cancer cases by different modes of cancer detection.

resultsA total of 42,547 participants were evaluated to be high risk of breast cancer. Among them, 23,009 subjects undertook screening services, with participation rate of 54.08%. Multivariable logistic regression model showed that aged 45-64, high education level, postmenopausal, current smoking, alcohol consumption, family history of breast cancer, and benign breast disease were associated with increased participation of screening. After median follow-up of 3.79 years, there were 456 breast cancer diagnoses of which 65 were screen-detected breast cancers (SBCs), 27 were interval breast cancers (IBCs), 68 were no screening cancers, and 296 were cancers detected outside the screening program. Among them, 92 participants in the screening group (0.40%) and 364 in the non-screening group (0.28%) had breast cancer detected, which resulted in an odds ratio of 1.42 (95% CI 1.13-1.78; P = 0.003). We observed a higher detection rate of breast cancer in the screening group, with ORs of 2.42 (95% CI 1.72-3.41) for early stage (stages 0-I) and 2.12 (95% CI 1.26-3.54) for luminal A subtype. SBCs had higher proportion of early stage (71.93%) and luminal A subtype (47.22%) than other groups.

conclusionsThe significant differences in breast cancer diagnosis between the screening and non-screening group imply an urgent need for increased breast cancer awareness and early detection in China.

Indexed as

Breast NeoplasmsBreastChinaEarly Detection of CancerFemaleHumansMammographyMass ScreeningBreast cancerDetection rateHebei provinceParticipation rateScreening

Identifiers

PMID37266660
PMCPMC10423103
OpenAlexW4379095545

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.