Evidence map›Paper›PMID 32883458›Full record

ReviewSurgical oncology clinics of North America2020

Emerging Therapies in Thoracic Malignancies-Immunotherapy, Targeted Therapy, and T-Cell Therapy in Non-Small Cell Lung Cancer.

Boris Sepesi, Tina Cascone, Stephen G Chun, Mehmet Altan, Xiuning Le

Abstract readReview
In one paragraph

Review in Surgical oncology clinics of North America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Progress and application of lung-on-a-chip for lung cancer.Frontiers in bioengineering and biotechnology · 2024
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. 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

5 authors.

Boris SepesiDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA. Electronic address: bsepesi@mdanderson.org.
Tina CasconeDepartment of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Stephen G ChunDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Mehmet AltanDepartment of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Xiuning LeDepartment of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy, targeted therapy, and adoptive T-cell therapy have been revolutionary advancements in cancer research. Some of these therapies have become the standard of care for lung cancer and replaced older treatment algorithms; some continue to be studied in clinical trials. This article discusses the current state of novel treatment options for non-small cell lung cancer patients with metastatic and locoregional disease, with focus on immunotherapy, targeted therapy, and adoptive T-cell therapy.

Indexed as

Carcinoma, Non-Small-Cell LungCell- and Tissue-Based TherapyCombined Modality TherapyHumansImmunotherapyImmunotherapy, AdoptiveLung NeoplasmsMolecular Targeted TherapyAdoptive therapyImmunotherapyNon–small cell lung cancerTargeted therapyT cells

Identifiers

PMID32883458
PMCPMC7388816

What OpenQuestion holds

Textmetadata
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.