Evidence map›Paper›PMID 24434068›Full record

ReviewOral oncology2014

PPARγ in head and neck cancer prevention.

Mauricio Burotto, Eva Szabo

Open access · greenAbstract readReview
In one paragraph

Review in Oral oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Plasma Metabolic Phenotypes of HPV-Associated versus Smoking-Associated Head and Neck Cancer and Patient Survival.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Article
  10. Review
  11. Article
  12. PPAR research · 2020
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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 1 institution in 1 country.

Mauricio BurottoMedical Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, United States.
Eva SzaboLung and Upper Aerodigestive Cancer Research Group, Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, United States. Electronic address: szaboe@mail.nih.gov.
National Cancer Institute · US

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

Head and neck cancer is a major source of morbidity and mortality worldwide. Intervention during the early phases of carcinogenesis represents a promising new strategy for curbing the devastating effects of this disease and its primary treatment modalities, surgery and radiation with or without concomitant chemotherapy. This review focuses on the peroxisome proliferator-activated receptor gamma (PPARγ) as a target for chemoprevention of oral cancer. Accumulating data suggest that ligands of PPARγ, which include the thiazolidinedione class of agents approved for the treatment of diabetes, inhibit cancer cell growth in vitro and in animal carcinogenesis models, providing the rationale for testing this approach in populations at risk for head and neck cancer.

Indexed as

Clinical Trials as TopicDisease ProgressionEvidence-Based MedicineHead and Neck NeoplasmsHumansPioglitazonePPAR gammaPrecancerous ConditionsThiazolidinedionesPioglitazonePPAR gammaThiazolidinedionesHead and neck cancerOral carcinomaPioglitazonePPARγ (peroxisome proliferator-activated receptor γ)

Identifiers

PMID24434068
PMCPMC4096621
OpenAlexW1984931105

What OpenQuestion holds

Textmetadata
LicenceTDM
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.