Evidence map›Paper›PMID 37577305›Full record

ArticleTranslational lung cancer research2023

Future lung cancer prediction using low-dose chest computed tomography.

Imran Ashraf, Soojung Hur, Yongwan Park

Abstract readEditorialComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational lung cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Integrating multi-omics data for next-generation cancer research and precision medicine.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  2. Mapping the evolution and frontiers ofTranslational lung cancer research · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Imran AshrafDepartment of Information and Communication Technology, Yeungnam University, Gyeongsan-si, Republic of Korea.
Soojung HurDepartment of Information and Communication Technology, Yeungnam University, Gyeongsan-si, Republic of Korea.
Yongwan ParkDepartment of Information and Communication Technology, Yeungnam University, Gyeongsan-si, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

computed tomographydeep learningLung cancer (LC)

Identifiers

PMID37577305
PMCPMC10413016

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.