Evidence map›Paper›PMID 37463822›Full record

ArticleBMJ open2023

Association of follicle-stimulating hormone with lipid profiles in older women: a cross-sectional SPECT-China study.

Wen Zhang, Yingchao Chen, Xian Zhang, Yi Chen, Bing Han, Qin Li, Fangzhen Xia, Hualing Zhai, Ningjian Wang, Yingli Lu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  4. Review
  5. 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

10 authors at 2 institutions in 2 countries.

Wen Zhang *Institute and Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China.
Yingchao Chen *Institute and Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China.
Xian ZhangThe 305th Hospital of PLA, Beijing, China.
Yi ChenInstitute and Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China.
Bing HanInstitute and Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China.
Qin LiInstitute and Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China.
Fangzhen XiaInstitute and Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China.
Hualing ZhaiInstitute and Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China.
Ningjian WangInstitute and Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China.
Yingli LuInstitute and Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China luyingli2008@126.com.ORCID 0000-0002-5117-1614
Shanghai Jiao Tong University · CN305 Hospital of People Liberation Army · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsFollicle-stimulating hormone (FSH) is associated with higher risks of metabolic syndrome and diabetes in menopausal women. We aimed to investigate whether FSH was associated with the lipid profile in women older than 55 years.

designThe data were obtained from a cross-sectional study.

participantsOur data were from the Survey on Prevalence in East China for Metabolic Diseases and Risk Factors (China, including Shanghai and Zhejiang, Jiangxi and Anhui provinces). A total of 1795 women older than 55 years were selected.

methodsMorning serum sex hormones and lipid profiles were measured. Linear and logistic regression analyses were used to analyse the data.

resultsLower FSH was associated with lower high-density lipoprotein cholesterol (HDL-C) and higher triglycerides (TG), total cholesterol (TC)/HDL-C ratio and low-density lipoprotein cholesterol (LDL-C)/HDL-C ratio (all p for trend <0.05) after adjusting for age and other sex hormones. After further adjustment for body mass index, diabetes and hypertension, the associations of FSH with the lipid profile weakened, but the associations of FSH quartiles with HDL-C and the TC/HDL-C ratio were still significant (both p for trend <0.05). Compared with women in the highest FSH quartile, the odds of low HDL-C (HDL-C<1.04 mmol/L) in women in the lowest FSH quartile were 5.25 (95% CI 1.60 to 17.26) (p for trend <0.05) in the fully adjusted model, and the odds of TC≥6.22 mmol/L, TGs≥2.26 mmol/L and LDL-C≥4.14 mmol/L were not significant. Luteinising hormone did not show a significant association with dyslipidaemia.

conclusionLower FSH was associated with a worse lipid profile in women older than 55. Diabetes, adiposity and hypertension mostly explained the association of FSH with TGs and the LDL-C/HDL-C ratio but only partially explained the associations of FSH with HDL-C and the TC/HDL-C ratio.

Indexed as

Diabetes MellitusHypertensionAgedChinaCholesterol, HDLCholesterol, LDLCross-Sectional StudiesFemaleFollicle Stimulating HormoneHumansTriglyceridesCholesterol, HDLCholesterol, LDLFollicle Stimulating HormoneTriglyceridesGeneral diabetesGeneral endocrinologyLipid disorders

Identifiers

PMID37463822
PMCPMC10357802
OpenAlexW4384648998

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.