Evidence map›Paper›PMID 37784247›Full record

ArticleClinical and translational medicine2023

Predictive value of DOT1L mutations for clinical outcomes in non-small-cell lung cancer patients receiving immune checkpoint inhibitor therapy.

Tianxing Guo, Zhaofeng Wang, Song Wang, Yaru Zhang, Jiaohui Pang, Yajun Ying, Qiuxiang Ou, Dong Shen, Gang Li

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

Article in Clinical and translational medicine, 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
0.3field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Subtype-Specific mInternational journal of molecular sciences · 2026
    Article
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

9 authors at 6 institutions in 2 countries.

Tianxing GuoDepartment of Thoracic Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China.
Zhaofeng WangDepartment of Respiratory Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Song WangGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China.
Yaru ZhangGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China.
Jiaohui PangGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China.
Yajun YingDepartment of Pathology, Taizhou Cancer Hospital, Taizhou, Zhejiang, China.
Qiuxiang OuGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China.
Dong ShenDepartment of Oncology, The Affiliated Jiangyin Hospital of Nantong University, Jiangyin, Jiangsu, China.
Gang LiDepartment of Thoracic Surgery, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0009-0008-0281-0265
Genesee Community College · USFujian Medical University · CNNanjing General Hospital of Nanjing Military Command · CNNantong University · CNUniversity of Electronic Science and Technology of China · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Antineoplastic Agents, ImmunologicalCarcinoma, Non-Small-Cell LungLung NeoplasmsHistone-Lysine N-MethyltransferaseHumansImmune Checkpoint InhibitorsMutationAntineoplastic Agents, ImmunologicalDOT1L protein, humanHistone-Lysine N-MethyltransferaseImmune Checkpoint Inhibitors

Identifiers

PMID37784247
PMCPMC10545889
OpenAlexW4387297020

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.