Evidence map›Paper›PMID 37200928›Full record

ArticleGland surgery2023

The comparison between young and old patients and the prognostic roles of magnetic resonance imaging-related parameter characteristics in young patients-a retrospective cohort study.

Lijuan Hu, Jimei Jiang, Xiaoyan Wang

Open access · diamondAbstract read
In one paragraph

Article in Gland surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. 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

3 authors at 3 institutions in 1 country.

Lijuan Hu *Department of Radiology, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, China.
Jimei Jiang *Department of Radiology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Xiaoyan WangDepartment of Radiology, The People's Hospital of Zhaoyuan City, Yantai, China.
Integrated Chinese Medicine (China) · CNThe First People's Hospital of Zhaoqing · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast dynamic enhanced magnetic resonance imaging (MRI) is an important in the diagnosis and treatment of breast cancer. However, it is unclear whether the characteristics of breast dynamic enhancement MRI-related parameters in young breast cancer patients are specific. The present study was to study the dynamic enhancement of MRI-related parameter characteristics and its correlation with clinical features in young breast cancer patients. Methods: A total of 196 breast cancer patients admitted to the People's Hospital of Zhaoyuan City from January 2017 to December 2017 were retrospectively collected, and the patients were divided into a young breast cancer group (n=56) and a control group (n=140) according to whether the patient age limit of <40 years old. All patients underwent breast dynamic enhanced MRI and were followed up for 5 years to observe whether there was recurrence or metastasis. We compared the differences of breast dynamic enhanced MRI-related parameters between the 2 groups, and then analyzed the correlation between breast dynamic enhancement MRI-related parameters and clinical features in young breast cancer patients. Results: Compared with the control group, the apparent diffusion coefficient (ADC) of the young breast cancer group was significantly reduced (0.84±0.13 Conclusions: The present study provides a reference for further evaluation of the characteristics of young breast cancer patients.

Indexed as

breast cancermagnetic resonance imaging (MRI)prognosisYoung

Identifiers

PMID37200928
PMCPMC10186169
OpenAlexW4366968143

What OpenQuestion holds

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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.