Evidence map›Paper›PMID 32528118›Full record

SynthesisBritish journal of cancer2020

Supplemental breast cancer-screening ultrasonography in women with dense breasts: a systematic review and meta-analysis.

Wei-Hsin Yuan, Hui-Chen Hsu, Ying-Yuan Chen, Chia-Hung Wu

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in British journal of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 3 pooled it
6.2field-weighted citation impact, top 3% 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

40 citing papers in PubMed, 3 syntheses or guidelines pooled it, 73 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Wei-Hsin YuanDivision of Radiology, Taipei Municipal Gan-Dau Hospital (Managed by Taipei Veterans General Hospital), Taipei, Taiwan, ROC. williamyuan.tw@gmail.com.ORCID http://orcid.org/0000-0001-8194-3550
Hui-Chen HsuDepartment of Medical Imaging, Taiwan Adventist Hospital, Taipei, Taiwan, ROC.
Ying-Yuan ChenDivision of Radiology, National Yang-Ming University Hospital, Yilan City, Taiwan, ROC.
Chia-Hung WuSchool of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC.
National Yang Ming Chiao Tung University · TWTaiwan Adventist Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMammography is not effective in detecting breast cancer in dense breasts.

methodsA search in Medline, Cochrane, EMBASE and Google Scholar databases was conducted from January 1, 1980 to April 10, 2019 to identify women with dense breasts screened by mammography (M) and/or ultrasound (US). Meta-analysis was performed using the random-effect model.

resultsA total of 21 studies were included. The pooled sensitivity values of M alone and M + US in patients were 74% and 96%, while specificity of the two methods were 93% and 87%, respectively. Screening sensitivity was significantly higher in M + US than M alone (risk ratio: M alone vs. M + US = 0.699, P < 0.001), but the slight difference in specificity was statistically significant (risk ratio = 1.060, P = 0.001). Pooled diagnostic performance of follow-up US after initial negative mammography demonstrated a high pooled sensitivity (96%) and specificity (88%). The findings were supported by subgroup analysis stratified by study country, US method and timing of US.

conclusionsBreast cancer screening by supplemental US among women with dense breasts shows added detection sensitivity compared with M alone. However, US slightly decreased the diagnostic specificity for breast cancer. The cost-effectiveness of supplemental US in detecting malignancy in dense breasts should be considered additionally.

Indexed as

Breast DensityBreast NeoplasmsCombined Modality TherapyEarly Detection of CancerFemaleHumansMammographySensitivity and SpecificityUltrasonography, Mammary

Identifiers

PMID32528118
PMCPMC7434777
OpenAlexW3035688850

What OpenQuestion holds

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LicenceCC BY
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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.