Evidence map›Paper›PMID 36012601›Full record

ReviewInternational journal of molecular sciences2022

Sex Differences in Adiposity and Cardiovascular Diseases.

Haoyun Li, Daniels Konja, Luyao Wang, Yu Wang

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
8.5field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Observational
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  5. Review
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  9. Review
  10. Female Dahl, but Not SS13Research square · 2026
    Article
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  17. Review
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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

4 authors at 1 institution in 1 country.

Haoyun LiThe State Key Laboratory of Pharmaceutical Biotechnology, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong SAR, China.
Daniels KonjaThe State Key Laboratory of Pharmaceutical Biotechnology, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong SAR, China.
Luyao WangThe State Key Laboratory of Pharmaceutical Biotechnology, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong SAR, China.
Yu WangThe State Key Laboratory of Pharmaceutical Biotechnology, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0001-8697-2940
University of Hong Kong · HK

Funding

1.Seeding Funds for Basic Research of HKU, the General Research Funds; 2.Collaborative Research Funds of the Research Grant Council; 3.the Areas of Excellence Scheme of University Grants Committee; 4.Health and Medical Research Fund Hong Kong SAR 1. 17153016, 17124718, 17124420; 2.C7037-17W; 3.AoE/M-707/18; 4.HMRF08192306
6 · The paper itself

Abstract

Body fat distribution is a well-established predictor of adverse medical outcomes, independent of overall adiposity. Studying body fat distribution sheds insights into the causes of obesity and provides valuable information about the development of various comorbidities. Compared to total adiposity, body fat distribution is more closely associated with risks of cardiovascular diseases. The present review specifically focuses on the sexual dimorphism in body fat distribution, the biological clues, as well as the genetic traits that are distinct from overall obesity. Understanding the sex determinations on body fat distribution and adiposity will aid in the improvement of the prevention and treatment of cardiovascular diseases (CVD).

Indexed as

AdiposityCardiovascular DiseasesAdipose TissueBody Fat DistributionFemaleHumansMaleObesitySex Characteristicsadipose tissuebody fat distributioncardiovascular diseasesobesitysexual dimorphism

Identifiers

PMID36012601
PMCPMC9409326
OpenAlexW4293678442

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.