Evidence map›Paper›PMID 36237521›Full record

ArticleFrontiers in physiology2022

Artificial intelligence for predicting five-year survival in stage IV metastatic breast cancer patients: A focus on sarcopenia and other host factors.

Woocheol Jang, Changwon Jeong, KyungA Kwon, Tae In Yoon, Onvox Yi, Kyung Won Kim, Seoung-Oh Yang, Jinseok Lee

Abstract read
In one paragraph

Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. 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

8 authors.

Woocheol JangDepartment of Biomedical Engineering, Kyung Hee University, Yongin, South Korea.
Changwon JeongMedical Convergence Research Center, Smart Business Team in Information Management Office, Wonkwang University Hospital, Wonkwang University, Iksan, South Korea.
KyungA KwonDepartment of Nuclear Medicine, Dongnam Institute of Radiological and Medical Sciences, Busan, South Korea.
Tae In YoonDepartment of Surgery, Dongnam Institute of Radiological and Medical Sciences, Busan, South Korea.
Onvox YiDepartment of Surgery, Dongnam Institute of Radiological and Medical Sciences, Busan, South Korea.
Kyung Won KimThe Department of Radiology and Research Institute of Radiology, Asan Image Metrics, Clinical Trial Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Seoung-Oh YangDepartment of Nuclear Medicine, Dongnam Institute of Radiological and Medical Sciences, Busan, South Korea.
Jinseok LeeDepartment of Biomedical Engineering, Kyung Hee University, Yongin, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed an artificial intelligence (AI) model that can predict five-year survival in patients with stage IV metastatic breast cancer, mainly based on host factors and sarcopenia. From a prospectively built breast cancer registry, a total of 210 metastatic breast cancer patients were selected in a consecutive manner using inclusion/exclusion criteria. The patients' data were divided into two categories: a group that survived for more than 5 years and a group that did not survive for 5 years. For the AI model input, 11 features were considered, including age, body mass index, skeletal muscle area (SMA), height-relative SMA (H-SMI), height square-relative SMA (H

Indexed as

artificial intelligencebreast cancerfeature importancefive-year survivalsarcopenia

Identifiers

PMID36237521
PMCPMC9551304

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.