Evidence map›Paper›PMID 34295877›Full record

ArticleFrontiers in bioengineering and biotechnology2021

Prediction of Tumor Shrinkage Pattern to Neoadjuvant Chemotherapy Using a Multiparametric MRI-Based Machine Learning Model in Patients With Breast Cancer.

Yuhong Huang, Wenben Chen, Xiaoling Zhang, Shaofu He, Nan Shao, Huijuan Shi, Zhenzhe Lin, Xueting Wu, Tongkeng Li, Haotian Lin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 33 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

11 authors at 2 institutions in 1 country.

Yuhong HuangBreast Disease Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Wenben ChenState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
Xiaoling ZhangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Shaofu HeDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Nan ShaoBreast Disease Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Huijuan ShiDepartment of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Zhenzhe LinState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
Xueting WuZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Tongkeng LiZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Haotian LinState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
Ying LinBreast Disease Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

breast cancermachine learningmulti-parametric MRIneoadjuvant chemotherapyradiomicstumor shrinkage pattern

Identifiers

PMID34295877
PMCPMC8291046
OpenAlexW3182849187

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.