Evidence map›Paper›PMID 34549036›Full record

ArticleAnnals of surgical treatment and research2021

Comparison of clinicopathological characteristics and prognosis in breast cancer patients with different Breast Imaging Reporting and Data System categories.

Bong Kyun Kim, Jai Min Ryu, Se Jeong Oh, Jaihong Han, Jung Eun Choi, Joon Jeong, Young Jin Suh, Jina Lee, Woo Young Sun, Korean Breast Cancer Society

Open access · diamondAbstract read
In one paragraph

Article in Annals of surgical treatment and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 49% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 7 institutions in 1 country.

Bong Kyun KimDepartment of Surgery, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Korea.ORCID https://orcid.org/0000-0002-3845-9584
Jai Min RyuDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5405-7385
Se Jeong OhDepartment of Surgery, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, Korea.ORCID https://orcid.org/0000-0002-2583-4218
Jaihong HanDepartment of Surgery, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0003-3703-854X
Jung Eun ChoiDepartment of Surgery, Yeungnam University College of Medicine, Daegu, Korea.ORCID https://orcid.org/0000-0003-2290-6228
Joon JeongDepartment of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-0397-0005
Young Jin SuhDepartment of Surgery, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea.ORCID https://orcid.org/0000-0003-1033-3848
Jina LeeDepartment of Surgery, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Korea.ORCID https://orcid.org/0000-0002-8565-1720
Woo Young SunDepartment of Surgery, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Korea.ORCID https://orcid.org/0000-0002-5447-4266
Korean Breast Cancer Society
The Catholic University of Korea Daejeon St. Mary's Hospital · KRNational Cancer Center · KRSamsung Medical Center · KRThe Catholic University of Korea Incheon St. Mary's Hospital · KRThe Catholic University of Korea St. Vincent's Hospital · KRYeungnam University CollegeYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Breast Imaging Reporting and Data System (BI-RADS) is a systematic and standardized scheme of the radiological findings of breast. However, there were different BI-RADS categories between breast cancers as the clinical characteristics in previous studies. We analyzed the association of BI-RADS categories with the clinicopathological characteristics and prognosis of breast cancer.

methodsA total of 44,184 patients with invasive breast cancers assigned to BI-RADS category 3, 4, or 5 in preoperative mammography or ultrasonography were analyzed retrospectively using large-scale data from the Korean Breast Cancer Society registration system. The difference in the clinicopathological factors and prognoses according to the BI-RADS categories (BI-RADS 3-4 and BI-RADS 5) were compared between the mammography and ultrasonography groups. Comparisons of the clinicopathological factors in both groups were made using logistic regression analysis, while the prognoses were based on the breast cancer-specific survival using the Kaplan-Meier method and Cox proportional hazards model.

resultsThe factors associated with BI-RADS were T stage, N stage, palpability, histology grade, and lymphovascular invasion in the mammography group; and N stage, palpability, histology grade, and lymphovascular invasion in the ultrasonography group. In the survival analysis, there were significant differences in the breast cancer-specific survival of the BI-RADS category groups in both of the mammography (hazard ratio [HR], 3.366; P < 0.001) and ultrasonography (HR, 2.877; P < 0.001) groups.

conclusionIn this study, the BI-RADS categories of preoperative mammography and ultrasonography of patients with invasive breast cancer were associated with prognosis and could be an important factor in making treatment decisions.

Indexed as

Breast neoplasmsDiagnostic imagingMammographyPrognosisUltrasonography

Identifiers

PMID34549036
PMCPMC8424435
OpenAlexW3197121948

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LicenceCC BY-NC
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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.