Evidence map›Paper›PMID 31093341›Full record

ReviewCancers of the head & neck2016

Systemic therapy for recurrent or metastatic salivary gland malignancies.

Ashish V Chintakuntlawar, Scott H Okuno, Katharine A Price

Abstract readReview
In one paragraph

Review in Cancers of the head & neck, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Review
  6. Review
  7. Article
  8. Article
  9. Unique Cohorts of Salivary Gland Cancer Cells as anJournal of maxillofacial and oral surgery · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. p53 Inhibits Bmi-1-driven Self-Renewal and Defines Salivary Gland Cancer Stemness.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  16. Article
  17. Article
  18. Article
  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.

Ashish V ChintakuntlawarDivision of Medical Oncology, Department of Oncology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA.
Scott H OkunoDivision of Medical Oncology, Department of Oncology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA.
Katharine A PriceDivision of Medical Oncology, Department of Oncology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salivary gland carcinomas are notoriously resistant to therapy and no standard of care exists. Due to the rarity of these malignancies, various histologies, and wide ranging clinical behavior it has been difficult to standardize systemic therapy. We have reviewed clinical prospective studies in the last 15 years with salivary gland malignancies involving cytotoxic chemotherapy and biologic agents including targeted therapies such as anti-HER-2, anti-EGFR therapies, and therapies directed at c-kit. Although the results of most trials are modest at best, there has been an increase in studies for salivary cancer in recent years and there are several promising treatment approaches in evolution. Every effort should be made to treat salivary gland malignancies under a clinical protocol and/or at a large multidisciplinary practice with clinicians experienced in treating these malignancies.

Indexed as

CarcinomaChemotherapyHER2 therapyHormone therapyImmunotherapySalivary gland malignancySystemic therapyTargeted therapy

Identifiers

PMID31093341
PMCPMC6460835

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.