Evidence map›Paper›PMID 41975374›Full record

ArticleBMC women's health2026

Multiple endocrine dysfunctions in twins with Wilson's disease: two case reports Deng et al. endocrine dysfunctions in Wilson's disease.

Hong-Rong Deng, Song-Ying Lin, Fei-Ya Zhang, Jin-Hua Yan, Xin-Hua Li, Xu-Bin Yang

Abstract readCase Reports
In one paragraph

Article in BMC women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Hong-Rong Deng *Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China.
Song-Ying Lin *Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China.
Fei-Ya ZhangDepartment of Endocrinology and Metabolic Diseases, Guangdong Provincial Key Laboratory of Research and Development in Traditional Chinese Medicine, Guangdong Provincial Second Hospital of Traditional Chinese Medicine, No. 60 Hengfu Road, Guangzhou, 510095, Guangdong Province, China.
Jin-Hua YanDepartment of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China. yanjh79@163.com.
Xin-Hua LiDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, China. lixinh8@mail.sysu.edu.cn.
Xu-Bin YangDepartment of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China. yxbin@mail.sysu.edu.cn.

Funding

Supported by the project of Natural Science Foundation of China cultivation from The Third Afliated Hospital of Sun Yat-sen University NO. 2020GZRPYQN24
6 · The paper itself

Abstract

Wilson’s disease (WD) is a rare disorder characterized by abnormal copper metabolism, which could induce endocrine dysfunctions. Here, we report two cases of twins with both WD and multiple endocrine dysfunctions, including one twin with primary hypothyroidism and polycystic ovary syndrome, and the other with serious hepatic dysfunction and hypopituitarism.

Indexed as

Diseases in TwinsHepatolenticular DegenerationHypopituitarismHypothyroidismPolycystic Ovary SyndromeAdolescentFemaleHumansTwinsCase reportHypopituitarismHypothyroidismPCOSWilson’s disease

Identifiers

PMID41975374
PMCPMC13217729

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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.