Evidence map›Paper›PMID 38464384›Full record

ReviewExploration of targeted anti-tumor therapy2024

Management of stage III non-small-cell lung cancer: rays of hope.

Floryane Kim, Maxime Borgeaud, Alfredo Addeo, Alex Friedlaender

Abstract readReview
In one paragraph

Review in Exploration of targeted anti-tumor therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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.

Floryane Kim *Oncology Department, Geneva University Hospitals, 1205 Geneva, Switzerland.
Maxime Borgeaud *Oncology Department, Geneva University Hospitals, 1205 Geneva, Switzerland.ORCID https://orcid.org/0000-0003-1262-5641
Alfredo AddeoOncology Department, Geneva University Hospitals, 1205 Geneva, Switzerland.ORCID https://orcid.org/0000-0003-0988-0828
Alex FriedlaenderOncology Department, Clinique Générale Beaulieu, 1206 Geneva, Switzerland.ORCID https://orcid.org/0000-0003-1956-6824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer remains the most common cause of cancer death across the world. Non-small-cell lung cancer (NSCLC) represents the most frequent type of lung cancer and is frequently diagnosed at an advanced stage. Stage III NSCLC, which encompasses 30% of cases, refers to a state between localized and metastatic disease, and is associated with poor prognosis. As highlighted in this review, stage III represents a heterogenous group, whose complex management includes multimodal treatment, discussed below, and requires discussion in multidisciplinary teams. The goal of this approach is a maximalist attitude in these patients with locally advanced and non-metastatic disease. However, many issues remain under debate including the optimal sequences of treatment between different treatment modalities, patient selection particularly for surgery, the duration of perioperative treatments and the identification of biomarkers to determine which patients might benefit of specific treatment like immunotherapy and targeted therapies. This review describes the current landscape of management of stage III NSCLC, discussing the critical issue of resectability, and highlighting the recent advancements in the field, particularly the incorporation of immune-checkpoint inhibitors (ICIs) and targeted therapies in this setting.

Indexed as

chemo-radiotherapymultidisciplinary managementNon-small-cell lung cancerperioperative immunotherapystage IIItargeted therapy

Identifiers

PMID38464384
PMCPMC10924713

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.