Evidence map›Paper›PMID 37550673›Full record

Observational studyBMC endocrine disorders2023

Follicle-stimulating hormone is negatively associated with nonalcoholic fatty liver disease in a Chinese elderly population: a retrospective observational study.

Xiaoming Li, Ning Xin, Tailin Guo, Ziyu Wu, Ying Zheng, Lan Lin, Qianwen Li, Fan Lin

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC endocrine disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

8 authors at 2 institutions in 1 country.

Xiaoming Li *Department of Geriatric Medicine, Fujian Provincial Key Laboratory of Geriatric Diseases, Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, 350001, China.
Ning Xin *Department of Geriatric Medicine, Fujian Provincial Key Laboratory of Geriatric Diseases, Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, 350001, China.
Tailin GuoDepartment of Geriatric Medicine, Fujian Provincial Key Laboratory of Geriatric Diseases, Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, 350001, China.
Ziyu WuDepartment of Geriatric Medicine, Fujian Provincial Key Laboratory of Geriatric Diseases, Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, 350001, China.
Ying ZhengDepartment of Geriatric Medicine, Fujian Provincial Key Laboratory of Geriatric Diseases, Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, 350001, China.
Lan LinKey Laboratory of Medical Big Data Project of Fujian Province, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, China.
Qianwen LiKey Laboratory of Medical Big Data Project of Fujian Province, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, China.
Fan LinDepartment of Geriatric Medicine, Fujian Provincial Key Laboratory of Geriatric Diseases, Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, 350001, China. linfan@fjmu.edu.cn.
Fujian Provincial Hospital · CNFujian Medical University · CN

Funding

Family Planning Commission 2013-ZQN-ZD-4High-level hospital foster grants from Fujian Provincial Hospital, Fujian province, China 2019HSJJ17Pilot project of Fujian science and technology program 2020Y0064Research on intelligent recommendation decision model of geriatrics based on big data 2021CXA001the project of the youth and middle-aged talents of Fujian Provincial Health 2016J01496
6 · The paper itself

Abstract

backgroundSeveral studies have explored the connection between follicle-stimulating hormone (FSH) and nonalcoholic fatty liver disease (NAFLD). However, the impact of FSH elevation on NAFLD remains a topic of debate. Hence, this investigation aimed to evaluate the potential correlation between FSH levels and NAFLD in the aging population.

methodsThis was a retrospective observational cross-sectional study between July 2017 and August 2018 in our hospital. We used data obtained from 455 patients over 60 years old. Anthropometrics and laboratory tests were performed for each patient. NAFLD was diagnosed by sonographic features and the fatty liver index (LFI).

resultsOf the 455 patients, 200 (43.96%) had NAFLD on their ultrasound and 169 (37.14%) had NAFLD according to the LFI. An intraclass correlation coefficient of the two methods was 80.4% (P < 0.001). People with NAFLD on their ultrasound showed lower FSH levels (52.68 vs. 61.39 IU/L) and more unfavorable metabolic profiles. FSH was negatively correlated with age, alanine aminotransferase, estradiol, testosterone, systolic blood pressure, waist, body mass index, fasting blood glucose, postload plasma glucose and positive associated with total cholesterol, high-density lipoprotein-cholesterol and low-density lipoprotein-cholesterol by Spearman correlation analysis (all P < 0.05). By controlling for all confounding factors, the odds ratios (OR) of FSH for NAFLD were determined in elderly individuals, both men and women, aged 60-70 years and over 70 years. These ORs were found to be 0.937, 0.982, 0.983, and 0.973, respectively, with corresponding 95% confidence intervals (CI) of 0.892-0.984 (P = 0.009), 0.971-0.993 (P = 0.002), 0.967-0.999 (P = 0.033), and 0.958-0.989 (P = 0.001). In addition, our findings demonstrated no significant correlation between FSH and advanced fibrosis when adjusting for potential covariates. The OR for advanced fibrosis was 0.979 (95% CI, 0.938-1.022, P = 0.339). Additionally, ROC curve analysis showed an optimal cut-off value of 66.91 for women and 15.25 for men for NAFLD diagnosis.

conclusionsThere was an inverse relationship observed between levels of FSH in the blood serum and NAFLD in the elderly population. These findings suggest that reduced FSH levels might serve as a potential risk factor or biomarker for NAFLD in the elderly.

Indexed as

Follicle Stimulating HormoneNon-alcoholic Fatty Liver DiseaseAgedBiomarkersCholesterolCross-Sectional StudiesEast Asian PeopleFemaleFibrosisHumansMaleMiddle AgedRetrospective StudiesBiomarkersCholesterolFollicle Stimulating HormoneElderlyFollicle-stimulating hormoneMenNonalcoholic fatty liver diseaseWomen

Identifiers

PMID37550673
PMCPMC10405433
OpenAlexW4385634363

What OpenQuestion holds

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LicenceCC BY
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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.