Evidence map›Paper›PMID 33687609›Full record

ReviewBreast cancer (Tokyo, Japan)2021

Role of dietary fat on obesity-related postmenopausal breast cancer: insights from mouse models and methodological considerations.

Pei Yee Tan, Kim Tiu Teng

Abstract readReview
PubMed Publisher
In one paragraph

Review in Breast cancer (Tokyo, Japan), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Nutrients · 2024
    Article
  3. Review
  4. Contribution of n-3 Long-Chain Polyunsaturated Fatty Acids to the Prevention of Breast Cancer Risk Factors.International journal of environmental research and public health · 2022
    Review
  5. Review
  6. 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

2 authors at 1 institution in 1 country.

Pei Yee TanDivision of Product Development and Advisory Services, Malaysian Palm Oil Board, No 6, Persiaran Institusi, Bandar Baru Bangi, 43000, Kajang, Selangor, Malaysia.
Kim Tiu TengDivision of Product Development and Advisory Services, Malaysian Palm Oil Board, No 6, Persiaran Institusi, Bandar Baru Bangi, 43000, Kajang, Selangor, Malaysia. kimtiu@mpob.gov.my.
Malaysian Palm Oil Board · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing incidence rate of breast cancer in the last few decades is known to be linked to the upward trend of obesity prevalence worldwide. The consumption of high-fat diet in particular has been correlated with postmenopausal breast cancer risk. The underlying mechanisms, using suitable and reliable experimental mouse model, however, is lacking. The current review aims to discuss the evidence available from mouse models on the effects of dietary fats intake on postmenopausal breast cancer. We will further discuss the biochemical mechanisms involved in the occurrence of postmenopausal breast cancer. In addition, the methodological considerations and their limitations in obesity-related postmenopausal breast cancer, such as choice of mouse models and breast cancer cell lines as well as the study duration will be reviewed. The current review will provide a platform for further development of new xenograft models which may offer the opportunity to investigate the mechanisms of postmenopausal breast cancer in a greater detail.

Indexed as

Disease Models, AnimalPostmenopauseAnimalsBreast NeoplasmsDietary FatsFemaleHumansMiceObesityRisk FactorsDietary FatsAnimal modelBreast cancerDietary fatObesityPostmenopause

Identifiers

PMID33687609
OpenAlexW3133940397

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.