Evidence map›Paper›PMID 37720537›Full record

ArticleFrontiers in endocrinology2023

Controlled attenuation parameters to assess liver steatosis in obese patients with polycystic ovary syndrome.

Dongxu Wang, Nan Nan, Hao Bing, Bing He

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. The signaling pathways in obesity-related complications.Journal of cell communication and signaling · 2024
    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

4 authors.

Dongxu WangDepartment of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, China.
Nan NanDepartment of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, China.
Hao BingDepartment of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, China.
Bing HeDepartment of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study was performed to investigate the changes and influencing factors of liver controlled attenuation parameter (CAP) in obese patients with polycystic ovary syndrome (PCOS), and to determine the prevalence and risk factors of nonalcoholic fatty liver disease (NAFLD) in PCOS patients with obesity. Methods: Forty-one PCOS patients with obesity and twenty age- and body mass index (BMI)-matched control women without PCOS were enrolled in this study. General data, body composition, biochemical parameters, sex hormones, and liver CAP in the two groups were collected and compared. Liver CAP was measured using transient elastography. Results: NAFLD was more common in the Obese PCOS group than in the control group (75.61% vs. 45.00%, Conclusion: PCOS patients with obesity had a significantly higher prevalence of NAFLD. Furthermore, in PCOS patients with obesity, liver CAP was associated with disorders of lipid metabolism, insulin resistance, and hyperandrogenemia, with elevated testosterone levels being an independent risk factor for NAFLD in PCOS patients with obesity.

Indexed as

Elasticity Imaging TechniquesInsulin ResistanceNon-alcoholic Fatty Liver DiseasePolycystic Ovary SyndromeAlanine TransaminaseAspartate AminotransferasesCholesterol, HDLFemaleHumansObesityTestosteroneAlanine TransaminaseAspartate AminotransferasesCholesterol, HDLTestosteronecontrolled attenuation parameterhyperandrogenemianon-alcoholic fatty liver diseasepolycystic ovary syndrometestosterone

Identifiers

PMID37720537
PMCPMC10501797

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Registered trials

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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.