Evidence map›Paper›PMID 25395880›Full record

ReviewJournal of carcinogenesis2014

Esophageal cancer: Recent advances in screening, targeted therapy, and management.

Puja Gaur, Min P Kim, Brian J Dunkin

Abstract readReview
In one paragraph

Review in Journal of carcinogenesis, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. METTL3-mediated mMolecular therapy. Nucleic acids · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Oncology letters · 2016
    Article
  17. Interventional Therapy of Esophageal Cancer.Gastrointestinal tumors · 2016
    Review
  18. Review
  19. Article
  20. 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

3 authors.

Puja GaurDepartment of Thoracic Surgery, Weill Cornell Medical College of Cornell University, Houston Methodist Hospital, 6550 Fannin Street, Suite 1661, Houston, TX 77030, USA ; Department of General Surgery, Weill Cornell Medical College of Cornell University, Houston Methodist Hospital, 6550 Fannin Street, Suite 1661, Houston, TX 77030, USA.
Min P KimDepartment of Thoracic Surgery, Weill Cornell Medical College of Cornell University, Houston Methodist Hospital, 6550 Fannin Street, Suite 1661, Houston, TX 77030, USA ; Department of General Surgery, Weill Cornell Medical College of Cornell University, Houston Methodist Hospital, 6550 Fannin Street, Suite 1661, Houston, TX 77030, USA.
Brian J DunkinDepartment of General Surgery, Weill Cornell Medical College of Cornell University, Houston Methodist Hospital, 6550 Fannin Street, Suite 1661, Houston, TX 77030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of esophageal cancer remains on the rise worldwide and despite aggressive research in the field of gastrointestinal oncology, the survival remains poor. Much remains to be defined in esophageal cancer, including the development of an effective screening tool, identifying a good tumor marker for surveillance purposes, ways to target esophageal cancer stem cells as well as circulating tumor cells, and developing minimally invasive protocols to treat early-stage disease. The goal of this chapter is to highlight some of the recent advances and ongoing research in the field of esophageal cancer.

Indexed as

Barrett'scancer stem cellscarcinogenesis/tumorigenesisdysplasiaesophageal cancertargeted therapy

Identifiers

PMID25395880
PMCPMC4229783

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.