Evidence map›Paper›PMID 32957507›Full record

ArticleJournal of personalized medicine2020

Early Prediction of Tumor Response to Neoadjuvant Chemotherapy and Clinical Outcome in Breast Cancer Using a Novel FDG-PET Parameter for Cancer Stem Cell Metabolism.

Chanwoo Kim, Sang-Ah Han, Kyu Yeoun Won, Il Ki Hong, Deog Yoon Kim

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05068999 (Early Assessment of Shear Wave Elastography Parameters to Assess the Response to Neoadjuvant Chemotherapy in Patients With Invasive Breast Cancer), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-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.

NCT05068999 unknown statusnot on this mapstarted 2021, after this paper: background citation

Early Assessment of Shear Wave Elastography Parameters to Assess the Response to Neoadjuvant Chemotherapy in Patients With Invasive Breast Cancer

TypeobservationalSponsorAssiut UniversityRan2021 to 2023Enrolled35ConditionsBreast NeoplasmsArmsshear wave elastography
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Cannot Target What Cannot Be Seen: Molecular Imaging of Cancer Stem Cells.International journal of molecular sciences · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Article
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

5 authors at 2 institutions in 1 country.

Chanwoo KimDepartment of Nuclear Medicine, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul 05278, Korea.ORCID 0000-0001-9914-313X
Sang-Ah HanDepartment of Surgery, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul 05278, Korea.ORCID 0000-0001-6629-955X
Kyu Yeoun WonDepartment of Pathology, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul 05278, Korea.
Il Ki HongDepartment of Nuclear Medicine, Kyung Hee University Hospital, Kyung Hee University School of Medicine, Seoul 02447, Korea.
Deog Yoon KimDepartment of Nuclear Medicine, Kyung Hee University Hospital, Kyung Hee University School of Medicine, Seoul 02447, Korea.
Kyung Hee University Hospital at Gangdong · KRKyung Hee University · KR

Funding

National Research Foundation of Korea (NRF) NRF-2020R1F1A1076139
6 · The paper itself

Abstract

Cancer stem cells (CSCs) contribute to chemoresistance and tumor relapse. By using the distinct metabolic phenotype of CSC, we designed novel PET parameters for CSC metabolism and investigated their clinical values. Patients with breast cancer who underwent

Indexed as

breast cancercancer stem cell metabolismFDG PET/CTneoadjuvant chemotherapy

Identifiers

PMID32957507
PMCPMC7565130
OpenAlexW3086622218

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.