Evidence map›Paper›PMID 41292901›Full record

ArticlebioRxiv : the preprint server for biology2025

Alexander J Pfeil, Tom Zhang, Ryan Cheng, Marissa S Mattar, Juan Luis Gomez Marti, Leo Gili, Rachel Lai, Inna Khodos, Rohan P Master, Jenna-Marie Dix and 7 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Alexander J Pfeil
Tom Zhang
Ryan Cheng
Marissa S Mattar
Juan Luis Gomez Marti
Leo Gili
Rachel Lai
Inna Khodos
Rohan P Master
Jenna-Marie Dix
Andrea Gazzo
Kathryn C Arbour
Elisa de Stanchina
Christopher A Febres-Aldana
Marc Ladanyi
Soo-Ryum Yang
Romel Somwar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: An institutional cohort of 8,488 non-small cell lung carcinomas (NSCLC) sequenced by comprehensive targeted DNA sequencing (MSK-IMPACT) between 2016-2024 was evaluated for Results: Conclusions: RRAS Statement of translational relevance: Targeted therapies have transformed standard of care for oncogene-driven non-small cell lung carcinomas (NSCLC), yet a significant subset lacks actionable drivers. We identified recurrent

Identifiers

PMID41292901
PMCPMC12642498

What OpenQuestion holds

Textmetadata
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.