Evidence map›Paper›PMID 35759068›Full record

ArticleEJNMMI research2022

Prognostic impact of an integrative analysis of [

Jinyeong Choi, Azmal Sarker, Hongyoon Choi, Dong Soo Lee, Hyung-Jun Im

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 55% 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.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 2 countries.

Jinyeong Choi *Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea.
Azmal Sarker *Department of Nuclear Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Hongyoon ChoiDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Dong Soo LeeDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Hyung-Jun ImDepartment of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea. iiihjjj@gmail.com.ORCID http://orcid.org/0000-0002-4368-6685
Seoul National University Hospital · KRSeoul National University · KRSeoul National University of Science and Technology · KR

Funding

National Research Council of Science and Technology NRF-2019M2D2A1A01058210National Research Council of Science and Technology NRF-2020R1C1C1009000National Research Council of Science and Technology NRF-2021M2E8A1039564Seoul National University Creative-Pioneering Researchers Program
6 · The paper itself

Abstract

backgroundHigh levels of

resultsUsing an RNA sequencing dataset, the patients were divided into three subtype groups. Additionally, 24 different immune cell scores and cytolytic scores (CYT) were obtained. In

conclusionsA high TLR score was found to be associated with worse prognosis, while high CD8 T cell and TFH scores predicted better prognosis in lung adenocarcinoma. Furthermore, TLR and TFH can be used to predict prognosis independently in patients with lung adenocarcinoma.

Indexed as

18F-FDG PETLung adenocarcinomaRadiogenomicsTranscriptomics

Identifiers

PMID35759068
PMCPMC9237200
OpenAlexW4283578207

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.