Evidence map›Paper›PMID 38730571›Full record

ReviewCancers2024

Neoadjuvant and Adjuvant Immunotherapy in Resectable NSCLC.

Evangelia Bogatsa, George Lazaridis, Chrysoula Stivanaki, Eleni Timotheadou

Abstract readReview
In one paragraph

Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. A novel nanotechnology-based strategy using CNT-FeJournal, genetic engineering & biotechnology · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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

4 authors.

Evangelia BogatsaDepartment of Medical Oncology, Aristotle University of Thessaloniki, Papageorgiou Hospital, 56429 Thessaloniki, Greece.
George LazaridisDepartment of Medical Oncology, Aristotle University of Thessaloniki, Papageorgiou Hospital, 56429 Thessaloniki, Greece.
Chrysoula StivanakiDepartment of Medical Oncology, Aristotle University of Thessaloniki, Papageorgiou Hospital, 56429 Thessaloniki, Greece.
Eleni TimotheadouDepartment of Medical Oncology, Aristotle University of Thessaloniki, Papageorgiou Hospital, 56429 Thessaloniki, Greece.ORCID 0000-0003-2545-8926

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer, even when diagnosed in early stages, has been linked with poor survival rates and distant recurrence patterns. Novel therapeutic approaches harnessing the immune system have been implemented in early stages, following the designated steps of advanced NSCLC treatment strategies. Immune-checkpoint inhibitor (ICI) regimens as monotherapy, combinational, or alongside chemotherapy have been intensely investigated as adjuvant, neoadjuvant, and, more recently, perioperative therapeutic strategies, representing pivotal milestones in the evolution of early lung cancer management while holding great potential for the future. The subject of current ongoing research is optimizing treatment outcomes for patient subsets with different needs and identifying biomarkers that could be predictive of response while translating the trials' endpoints to survival rates. The aim of this review is to discuss all current treatment options with the pros and cons of each, persistent challenges, and future perspectives on immunotherapy as illuminating the path to a new era for resectable NSCLC.

Indexed as

adjuvantearlyimmune-checkpoint inhibitorsimmunotherapyneoadjuvantnon-small cell lung cancerperioperativeresectable

Identifiers

PMID38730571
PMCPMC11083960

What OpenQuestion holds

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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.