Evidence map›Paper›PMID 39850392›Full record

ReviewTzu chi medical journal

The value of

Yu-Hung Chen, Kun-Han Lue, Sung-Chao Chu, Chih-Bin Lin, Shu-Hsin Liu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Tzu chi medical journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. The prognostic value ofAnnals of nuclear medicine · 2026
    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.

Yu-Hung ChenDepartment of Medical Imaging and Radiological Sciences, Tzu Chi University, Hualien, Taiwan.
Kun-Han LueDepartment of Medical Imaging and Radiological Sciences, Tzu Chi University, Hualien, Taiwan.
Sung-Chao ChuSchool of Medicine, College of Medicine, Tzu Chi University, Hualien, Taiwan.
Chih-Bin LinDepartment of Internal Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan.
Shu-Hsin LiuDepartment of Medical Imaging and Radiological Sciences, Tzu Chi University, Hualien, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, the second most commonly diagnosed cancer in the world is lung cancer, and 85% of cases are non-small cell lung cancer (NSCLC). With growing knowledge of oncogene drivers and cancer immunology, several novel therapeutics have emerged to improve the prognostic outcomes of NSCLC. However, treatment outcomes remain diverse, and an accurate tool to achieve precision medicine is an unmet need. Radiomics, a method of extracting medical imaging features, is promising for precision medicine. Among all radiomic tools,

Indexed as

18F-fluorodeoxyglucose positron emission tomographyDeep learningHeterogeneityNon-small cell lung cancerRadiomics

Identifiers

PMID39850392
PMCPMC11753514

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.