Evidence map›Paper›PMID 41108032›Full record

ReviewWomen's health (London, England)

Relationship between MASLD and women's health: A review.

Pavlina Jancova, Khaled Ismail, Lucie Vistejnova

Abstract readReview
In one paragraph

Review in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. 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

3 authors.

Pavlina JancovaBiomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.ORCID 0000-0002-9492-7776
Khaled IsmailDepartment of Gynecology and Obstetrics; Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.ORCID 0000-0001-9449-0706
Lucie VistejnovaBiomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.ORCID 0000-0001-6074-0658

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD; formerly non-alcoholic fatty liver disease, NAFLD) is a common chronic liver disease strongly linked to obesity, metabolic syndrome (MetS), and type 2 diabetes. It starts as benign hepatic steatosis, but may progress to severe fibrosis, cirrhosis, or hepatocellular carcinoma. Today, MASLD represents one of the leading indications for liver transplantation. This review summarizes current knowledge on MASLD, including its pathogenesis, management strategies, regional disparities, and its specific relevance to women's health. The influence of sex hormones on MASLD has been documented. Polycystic ovary syndrome (PCOS) and the menopause increase MASLD prevalence by more than twofold. Moreover, PCOS increases the risk and severity of MASLD, independent of BMI. The role of menopausal hormone replacement therapy in MASLD remains controversial. However, transdermal estrogen and micronized progesterone or dydrogesterone seem to be more appropriate options. In pregnancy, MASLD is associated with >3-fold increased risk of gestational diabetes and preeclampsia. It may also increase the risk of MASLD development in the offspring-an effect that appears to be mitigated by breastfeeding for longer than six months. Given these findings, it is essential that clinicians involved in women's healthcare are aware of MASLD and its implications across the female lifespan.

Indexed as

Non-alcoholic Fatty Liver DiseaseWomen's HealthFemaleHumansMenopauseMetabolic SyndromeObesityPolycystic Ovary SyndromePregnancyRisk Factorsgestational diabeteshormone therapyMASHMASLDmenopauseNAFLDNASHpolycystic ovary syndromepregnancysteatosissteatotic liver disease

Identifiers

PMID41108032
PMCPMC12541192

What OpenQuestion holds

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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.