Evidence map›Paper›PMID 35046937›Full record

ArticleFrontiers in immunology2021

Radiomics Assessment of the Tumor Immune Microenvironment to Predict Outcomes in Breast Cancer.

Xiaorui Han, Wuteng Cao, Lei Wu, Changhong Liang

Abstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

29 citing papers in PubMed, 1 synthesis or guideline 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

4 authors.

Xiaorui HanSchool of Medicine, South China University of Technology, Guangzhou, China.
Wuteng CaoDepartment of Radiology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Lei WuDepartment of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Changhong LiangSchool of Medicine, South China University of Technology, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The immune microenvironment of tumors provides information on prognosis and prediction. A prior validation of the immunoscore for breast cancer (IS Methods: Immunocell fractions of 22 different categories were evaluated using CIBERSORT on the basis of a large, open breast cancer cohort derived from comprehensive information on gene expression. The IS Results: An IS Conclusions: The RIS is a valuable instrument with which to assess the immunoscore, and offers important implications for the prognosis of breast cancer.

Indexed as

AdolescentAdultBreast NeoplasmsFemaleHumansImage Processing, Computer-AssistedImmunophenotypingMachine LearningMagnetic Resonance ImagingMiddle AgedTumor MicroenvironmentYoung Adultbreast cancerDCE-MRIimmune microenvironmentimmunoscoreradiomics

Identifiers

PMID35046937
PMCPMC8761791

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.