Evidence map›Paper›PMID 41988299›Full record

ArticleJournal of thoracic disease2026

Global trends and research progress on immunotherapy for

Qian Deng, Na Li

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2026. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Qian DengDepartment of Palliative Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Na LiDepartment of Palliative Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immunotherapy for epidermal growth factor receptor ( Methods: The Web of Science Core Collection was searched to identify relevant articles published from 1995 to 2024. Using a combination of bibliometric tools including VOSviewer, CiteSpace, and "bibliometrix" package of R, we analyzed publication trends, citation patterns, collaborative networks, and keyword frequencies. Results: The analysis encompassed 1,537 publications from 352 sources, involving 12,131 authors. China led in publication volume, while the USA demonstrated the highest citation impact and strongest international collaboration network. Harvard University topped institutional output, but Dana Farber Cancer Institute showed the highest citation impact. The Conclusions: This study's bibliometric analysis of

Indexed as

bibliometric analysisEpidermal growth factor receptor-mutant non-small cell lung cancer (EGFR-mutant NSCLC)immunotherapytreatment resistance

Identifiers

PMID41988299
PMCPMC13077414

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.