Evidence map›Paper›PMID 35651912›Full record

ArticleFrontiers in cardiovascular medicine2022

Copy Number Analyses Identified a Novel Gene:

Nan Liu, Yu-Na Guo, Xiao-Jin Wang, Jue Ma, Yun-Ting He, Fang Zhang, Hao He, Jin-Liang Xie, Xu Zhuang, Meng Liu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. 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

15 authors at 5 institutions in 1 country.

Nan LiuSchool of Pharmacy, University of Chinese Academy of Sciences, Beijing, China.
Yu-Na GuoDepartment of Obstetrics, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiao-Jin WangDepartment of Biostatistics, Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jue MaDepartment of Obstetrics, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yun-Ting HeDepartment of Biostatistics, Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Fang ZhangSchool of Renji Clinical Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hao HeDepartment of Biostatistics, Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jin-Liang XieDepartment of Biostatistics, Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xu ZhuangDepartment of Obstetrics and Gynecology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Meng LiuSchool of Pharmacy, University of Chinese Academy of Sciences, Beijing, China.
Jian-Hua SunSchool of Pharmacy, University of Chinese Academy of Sciences, Beijing, China.
Yan ChenDepartment of Obstetrics, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jian-Hua LinDepartment of Obstetrics and Gynecology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Li-Kun GongSchool of Pharmacy, University of Chinese Academy of Sciences, Beijing, China.
Bing-Shun WangDepartment of Biostatistics, Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Jiao Tong University · CNChinese Academy of Sciences · CNUniversity of Chinese Academy of Sciences · CNInternational Peace Maternity & Child Health Hospital · CNRenji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preeclampsia is a heterogeneous and complex disease with its pathogenesis mechanism not fully elucidated. A certain subset of patients with preeclampsia exhibit disturbances in lipid metabolism before clinical symptoms. Moreover, there is a tendency for preeclampsia to run in families. Whether genetic factors play a role in abnormal lipid metabolism during the incidence of preeclampsia has not been well investigated. Methods: Preeclampsia patients ( Results: We observed that preeclampsia patients exhibited significantly elevated plasma TC ( Conclusion: Our findings established a new link between genetics and lipid metabolism in the pathogenesis of preeclampsia and could contribute to a better understanding of the molecular mechanisms of preeclampsia.

Indexed as

APOBEC3Acopy number variationgeneticslipid metabolismpreeclampsia

Identifiers

PMID35651912
PMCPMC9149004
OpenAlexW4281857224

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.