Evidence map›Paper›PMID 31035440›Full record

ReviewCancers2019

Recent Progress in the Theranostics Application of Nanomedicine in Lung Cancer.

Anubhab Mukherjee, Manash Paul, Sudip Mukherjee

Abstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Nanomedicine Innovations for Lung Cancer Diagnosis and Therapy.ACS applied materials & interfaces · 2025
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Modern therapies of nonsmall cell lung cancer.Journal of applied genetics · 2023
    Review
  20. 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

3 authors.

Anubhab MukherjeeDepartment of Translational Neurosciences and Neurotherapeutics, John Wayne Cancer Institute, Providence Saint John's Health Center, 2200 Santa Monica Boulevard, Santa Monica, CA 90404, USA. anubhabrsv@gmail.com.
Manash PaulDivision of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, The University of California, Los Angeles (UCLA) Factor Bldg. 10-240, 621 Charles E. Young Dr., Los Angeles, CA 90095, USA. paul_cancerbiotech@yahoo.co.in.ORCID 0000-0002-9404-0024
Sudip MukherjeeDepartment of Bioengineering, Rice University, 6500 Main Street, Houston, TX 77005, USA. sudip.mukherjee@rice.edu.ORCID 0000-0002-3625-2272

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is one of the leading causes of cancer-related death worldwide. Non-small cell lung cancer (NSCLC) causes around 80% to 90% of deaths. The lack of an early diagnosis and inefficiency in conventional therapies causes poor prognosis and overall survival of lung cancer patients. Recent progress in nanomedicine has encouraged the development of an alternative theranostics strategy using nanotechnology. The interesting physico-chemical properties in the nanoscale have generated immense advantages for nanoparticulate systems for the early detection and active delivery of drugs for a better theranostics strategy for lung cancer. This present review provides a detailed overview of the recent progress in the theranostics application of nanoparticles including liposomes, polymeric, metal and bio-nanoparticles. Further, we summarize the advantages and disadvantages of each approach considering the improvement for the lung cancer theranostics.

Indexed as

cancer therapyclinical statuslung cancernanomedicinetheranostics

Identifiers

PMID31035440
PMCPMC6562381

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.