Evidence map›Paper›PMID 37894458›Full record

ArticleCancers2023

Computed Tomography-Based Quantitative Texture Analysis and Gut Microbial Community Signatures Predict Survival in Non-Small Cell Lung Cancer.

David Dora, Glen J Weiss, Zsolt Megyesfalvi, Gabriella Gállfy, Edit Dulka, Anna Kerpel-Fronius, Judit Berta, Judit Moldvay, Balazs Dome, Zoltan Lohinai

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Review
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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

10 authors.

David DoraDepartment of Anatomy, Histology and Embryology, Semmelweis University, 1094 Budapest, Hungary.
Glen J WeissDepartment of Medicine, UMass Chan Medical School, Worcester, MA 01655, USA.ORCID 0000-0002-6067-597X
Zsolt MegyesfalviDepartment of Tumor Biology, National Koranyi Institute of Pulmonology, 1122 Budapest, Hungary.ORCID 0000-0001-8552-6500
Gabriella GállfyPulmonary Hospital Torokbalint, 2045 Torokbalint, Hungary.
Edit DulkaPulmonary Hospital Torokbalint, 2045 Torokbalint, Hungary.
Anna Kerpel-FroniusDepartment of Radiology, National Koranyi Institute of Pulmonology, 1122 Budapest, Hungary.
Judit BertaDepartment of Tumor Biology, National Koranyi Institute of Pulmonology, 1122 Budapest, Hungary.ORCID 0000-0003-3751-6716
Judit MoldvayDepartment of Tumor Biology, National Koranyi Institute of Pulmonology, 1122 Budapest, Hungary.ORCID 0000-0001-9425-1748
Balazs DomeDepartment of Tumor Biology, National Koranyi Institute of Pulmonology, 1122 Budapest, Hungary.ORCID 0000-0001-8799-8624
Zoltan LohinaiPulmonary Hospital Torokbalint, 2045 Torokbalint, Hungary.

Funding

Bolyai Fellowship of the Hungarian Academy of Sciences 2022FWF Austrian Science Fund FWF I3522; FWF I3977; I4677Hungarian National Research, Development and Innovation Office 142287; KH130356; KKP126790; 2020-1.1.6-JÖVŐHungarian Respiratory Society 2020LCFA-BMS/IASLC Young Investigator Scholarship Award 2018New National Excellence Program of the Ministry for Innovation and Technology of Hungary UNKP-20-3; UNKP-21-3
6 · The paper itself

Abstract

This study aims to combine computed tomography (CT)-based texture analysis (QTA) and a microbiome-based biomarker signature to predict the overall survival (OS) of immune checkpoint inhibitor (ICI)-treated non-small cell lung cancer (NSCLC) patients by analyzing their CT scans (

Indexed as

advanced NSCLCartificial intelligencecomputed tomography-based texture analysismicrobiomePD-L1

Identifiers

PMID37894458
PMCPMC10605408

What OpenQuestion holds

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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.