Evidence map›Paper›PMID 36300099›Full record

ArticleFrontiers in oncology2022

Detection of axillary lymph node metastasis in breast cancer using dual-layer spectral computed tomography.

Huijun Li, Huan Wang, Fangfang Chen, Lei Gao, Yurong Zhou, Zhou Zhou, Jinbai Huang, Liying Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 39% 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, 1 synthesis or guideline pooled it, 8 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

8 authors at 3 institutions in 1 country.

Huijun LiDepartment of Medical Imaging, School of Medicine, Yangtze University, Jingzhou, China.
Huan WangDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Fangfang ChenDepartment of Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Lei GaoDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yurong ZhouDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Zhou ZhouDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jinbai HuangDepartment of Medical Imaging, School of Medicine, Yangtze University, Jingzhou, China.
Liying XuDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Wuhan University · CNZhongnan Hospital of Wuhan University · CNYangtze University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the value of contrast-enhanced dual-layer spectral computed tomography (DLCT) in the detection of axillary lymph node (ALN) metastasis in breast cancer. Materials and Methods: In this prospective study, 31 females with breast cancer underwent contrast-enhanced DLCT from August 2019 to June 2020. All ALNs were confirmed by postoperative histology. Spectral quantitative parameters, including Results: In total, 132 ALNs (52 metastatic and 80 nonmetastatic) were successfully matched between surgical labels and preoperative labels on DLCT images. All spectral quantitative parameters ( Conclusion: The spectral quantitative parameters derived from contrast-enhanced DLCT, such as

Indexed as

axillary lymph nodebreast cancerDLCTdual-layer spectral detector computed tomographymetastasis

Identifiers

PMID36300099
PMCPMC9589258
OpenAlexW4303969468

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.