Evidence map›Paper›PMID 37694357›Full record

Observational studyClinical hemorheology and microcirculation2023

Ultrasound and clinicopathological characteristics of breast cancer for predicting axillary lymph node metastasis.

Xiaofang Bai, Yunyue Wang, Ruxi Song, Shangan Li, Yan Song, Huan Wang, Xiaoning Tong, Wei Wei, Litao Ruan, Qiaoling Zhao

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Clinical hemorheology and microcirculation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.3field-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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 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

10 authors at 1 institution in 1 country.

Xiaofang BaiThe Department of Ultrasound Medicine, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Yunyue WangThe Department of Ultrasound Medicine, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Ruxi SongThe Department of Ultrasound Medicine, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Shangan LiThe Department of Ultrasound Medicine, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Yan SongThe Department of Ultrasound Medicine, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Huan WangThe Department of Pain Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiaoning TongDepartment of Clinical Laboratory, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wei WeiThe Department of Ultrasound Medicine, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Litao RuanThe Department of Ultrasound Medicine, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Qiaoling ZhaoThe Department of Ultrasound Medicine, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe goal of this study was to assess the clinicopathological and ultrasound (US) features of breast cancer for predicting the risk of axillary lymph node metastasis.

methodsPatients with breast cancer were included in this retrospective, monocentric, observational study. Their preoperative ultrasound features, clinical data, laboratory results and postoperative pathologic results and immunophenotyping were collected. The association of these factors of breast cancer with axillary lymph node metastasis was evaluated by univariate and multivariate analysis.

resultsIn this study, 471 patients diagnosed with breast cancer at the First Affiliated Hospital of Xi'an Jiaotong University between July 2016 and September 2019 were collected, with a total of 471 nodules, of which 231(49.0%) had axillary lymph node metastasis, and 240(51.0%) did not. The parameters of hyperechoic halo, posterior acoustic decrease, microcalcification, carcinogenic embryonic antigen (CEA), cancer antigen-153 (CA153), CK5/6 (+), Ki67 (≥40%), AR (+) and histological grade (grade II and grade III) were significantly and independently associated with axillary lymph node metastasis (p < 0.05 for all).

conclusionsThe combination of ultrasound features, tumor markers, pathology, and immunohistochemistry can predict axillary lymph node metastasis in breast cancer patients.

Indexed as

Breast NeoplasmsFemaleHumansLymphatic MetastasisLymph NodesRetrospective StudiesUltrasonographyaxillary lymph node metastasisBreast cancerultrasound

Identifiers

PMID37694357
PMCPMC10657709
OpenAlexW4386465526

What OpenQuestion holds

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LicenceCC BY-NC
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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.