Evidence map›Paper›PMID 39015563›Full record

ReviewFrontiers in immunology2024

Advancing non-small cell lung cancer treatment: the power of combination immunotherapies.

Yuanlin Wu, Guangmao Yu, Ketao Jin, Jun Qian

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Shared Genetics of Hypertension and Preeclampsia Converges on Immune Regulation.medRxiv : the preprint server for health sciences · 2026
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
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

4 authors.

Yuanlin WuDepartment of Thoracic Surgery, Shaoxing People's Hospital, Shaoxing, Zhejiang, China.
Guangmao YuDepartment of Thoracic Surgery, Shaoxing People's Hospital, Shaoxing, Zhejiang, China.
Ketao JinDepartment of Gastrointestinal, Colorectal and Anal Surgery, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Jun QianDepartment of Colorectal Surgery, Xinchang People's Hospital, Affiliated Xinchang Hospital, Wenzhou Medical University, Xinchang, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) remains an unsolved challenge in oncology, signifying a substantial global health burden. While considerable progress has been made in recent years through the emergence of immunotherapy modalities, such as immune checkpoint inhibitors (ICIs), monotherapies often yield limited clinical outcomes. The rationale behind combining various immunotherapeutic or other anticancer agents, the mechanistic underpinnings, and the clinical evidence supporting their utilization is crucial in NSCLC therapy. Regarding the synergistic potential of combination immunotherapies, this study aims to provide insights to help the landscape of NSCLC treatment and improve clinical outcomes. In addition, this review article discusses the challenges and considerations of combination regimens, including toxicity management and patient selection.

Indexed as

Carcinoma, Non-Small-Cell LungImmune Checkpoint InhibitorsImmunotherapyLung NeoplasmsAnimalsAntineoplastic Combined Chemotherapy ProtocolsCombined Modality TherapyHumansTreatment OutcomeImmune Checkpoint Inhibitorscancer vaccinescombination therapyimmunotherapynon-small cell lung cancertumor microenvironment

Identifiers

PMID39015563
PMCPMC11250065

What OpenQuestion holds

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LicenceCC BY
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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.