Evidence map›Paper›PMID 39789067›Full record

ArticleNPJ precision oncology2025

Author Correction: Predicting the tumor microenvironment composition and immunotherapy response in non-small cell lung cancer from digital histopathology images.

Sushant Patkar, Alex Chen, Alina Basnet, Amber Bixby, Rahul Rajendran, Rachel Chernet, Susan Faso, Prashanth Ashok Kumar, Devashish Desai, Ola El-Zammar and 7 more

Abstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ precision oncology, 2025. 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. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Sushant Patkar *Artificial Intelligence Resource (AIR), National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. patkar.sushant@nih.gov.ORCID http://orcid.org/0000-0002-5877-0599
Alex Chen *Artificial Intelligence Resource (AIR), National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Alina BasnetDepartment of Hematology and Oncology, SUNY Upstate Medical University, Syracuse, NY, USA.ORCID http://orcid.org/0000-0002-0062-9007
Amber BixbyDepartment of Pathology and Laboratory Medicine, SUNY Upstate Medical University, Syracuse, NY, USA.
Rahul RajendranDepartment of Pathology and Laboratory Medicine, SUNY Upstate Medical University, Syracuse, NY, USA.
Rachel ChernetDepartment of Pathology and Laboratory Medicine, SUNY Upstate Medical University, Syracuse, NY, USA.
Susan FasoDepartment of Pathology and Laboratory Medicine, SUNY Upstate Medical University, Syracuse, NY, USA.
Prashanth Ashok KumarDepartment of Hematology and Oncology, SUNY Upstate Medical University, Syracuse, NY, USA.ORCID http://orcid.org/0000-0001-6236-2822
Devashish DesaiDepartment of Hematology and Oncology, SUNY Upstate Medical University, Syracuse, NY, USA.
Ola El-ZammarDepartment of Pathology and Laboratory Medicine, SUNY Upstate Medical University, Syracuse, NY, USA.
Christopher CurtissDepartment of Pathology and Laboratory Medicine, SUNY Upstate Medical University, Syracuse, NY, USA.
Saverio J CarelloDepartment of Pathology and Laboratory Medicine, SUNY Upstate Medical University, Syracuse, NY, USA.
Michel R NasrDepartment of Pathology and Laboratory Medicine, SUNY Upstate Medical University, Syracuse, NY, USA.
Peter ChoykeArtificial Intelligence Resource (AIR), National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Stephanie HarmonArtificial Intelligence Resource (AIR), National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-2507-2399
Baris TurkbeyArtificial Intelligence Resource (AIR), National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Tamara JamaspishviliDepartment of Pathology and Laboratory Medicine, SUNY Upstate Medical University, Syracuse, NY, USA. jamaspit@upstate.edu.ORCID http://orcid.org/0000-0002-1475-5717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID39789067
PMCPMC11718226

What OpenQuestion holds

Textmetadata
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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.