Evidence map›Paper›PMID 39247638›Full record

ArticleFrontiers in medicine2024

Outcomes of pregnancy in Wilson's disease: a population-based study from multiple centres of the Han population in China.

Rao Rao, Xu-En Yu, Zhi-Hua Zhou, Shan Shu, Yi-Gang Du, Yong-Zhu Han, Yong-Sheng Han

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. [Progress on the research of hepatolenticular degeneration].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    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

7 authors.

Rao RaoInstitute of Neurology, Anhui University of Chinese Medicine, Hefei, China.
Xu-En YuInstitute of Neurology, Anhui University of Chinese Medicine, Hefei, China.
Zhi-Hua ZhouDepartment of Neurology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Shan ShuInstitute of Neurology, Anhui University of Chinese Medicine, Hefei, China.
Yi-Gang DuDepartment of Neurology, Anhui Provincial Hospital of Integrated Traditional Chinese and Western Medicine, Hefei, China.
Yong-Zhu HanInstitute of Neurology, Anhui University of Chinese Medicine, Hefei, China.
Yong-Sheng HanInstitute of Neurology, Anhui University of Chinese Medicine, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Wilson's disease is an autosomal recessive disorder related to copper metabolism which mostly patients occurs in adolescents, fertility has become a problem that WD needs to face. Methods: A 21 years retrospective follow up study was conducted and a total of 220 female patients were included to identify patients with outcomes of pregnancy. Results: Untreated female patients with WD had a spontaneous abortion rate of 44%. During the study period, 146 female patients with WD from multicenter, 75 patients (51.4%) had successful outcomes of pregnancy. Notably, urinary copper levels below 616 μg/24 h were strongly associated with successful pregnancy. The nomogram built on these variables were age, urinary copper, haemoglobin and Child-Pugh classification, internally validated and showed good performance. Conclusion: The spontaneous abortion rate was 44% in untreated females with WD and developed a four-variable risk prediction model to accurately predict the likelihood of a successful pregnancy.

Indexed as

outcome of pregnancypredictionretrospective studyurinary copperWilson’s disease

Identifiers

PMID39247638
PMCPMC11377272

What OpenQuestion holds

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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.