Evidence map›Paper›PMID 28559936›Full record

ReviewNuclear medicine and molecular imaging2017

Vu Hong Nguyen, Jung-Joon Min

Abstract readReview
In one paragraph

Review in Nuclear medicine and molecular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.4field-weighted citation impact, top 6% of its field
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

26 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. IntegratedNAR genomics and bioinformatics · 2023
    Article
  8. Review
  9. Review
  10. Pharmaceutics · 2022
    Review
  11. Article
  12. Coating bacteria for anti-tumor therapy.Frontiers in bioengineering and biotechnology · 2022
    Review
  13. Article
  14. Cancers · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Dual Role of Bacteria in Carcinoma: Stimulation and Inhibition.International journal of microbiology · 2020
    Review
  19. Article
  20. Targeting ProgrammedCancers · 2019
    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

2 authors at 2 institutions in 2 countries.

Vu Hong NguyenDepartment of Experimental Therapeutics, Beckman Research Institute of City of Hope, Duarte, California, 1500 East Duarte Road, Duarte, CA 91010 USA.
Jung-Joon MinDepartment of Nuclear Medicine, Chonnam National University Medical School, 5 Hak1 dong, Dong-gu, Gwangju, 501-746 Republic of Korea.
Chonnam National University · KRCity of Hope · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of bacteria for cancer therapy, which was proposed many years ago, was not recognized as a potential therapeutic strategy until recently. Technological advances and updated knowledge have enabled the genetic engineering of bacteria for their safe and effective application in the treatment of cancer. The efficacy of radiotherapy depends mainly on tissue oxygen levels, and low oxygen concentrations in necrotic and hypoxic regions are a common cause of treatment failure. In addition, the distribution of a drug is important for the therapeutic effect of chemotherapy, and the poor vasculature in tumors impairs drug delivery, limiting the efficacy of a drug, especially in necrotic and hypoxic regions. Bacteria-mediated cancer therapy (BMCT) relies on facultative anaerobes that can survive in well or poorly oxygenated regions, and it therefore improves the therapeutic efficacy drug distribution throughout the tumor mass. Since the mid-1990s, the number of published bacterial therapy papers has increased rapidly, with a doubling time of 2.5 years in which the use of

Indexed as

Bacteria-mediated cancer therapy (BMCT)CancerImmune systemMolecular imagingSalmonella typhimuriumTargeting

Identifiers

PMID28559936
PMCPMC5429292
OpenAlexW2490069088

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.