Evidence map›Paper›PMID 37450125›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2023

Circulating Non-coding RNAs and Exosomes: Liquid Biopsies for Monitoring Preeclampsia.

Na Li, Ying Gu, Jiaqi Tang, Yongmei Li, Daozhen Chen, Zhice Xu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 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
11.3field-weighted citation impact, top 2% 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, 4 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

6 authors at 3 institutions in 1 country.

Na LiLab of Perinatal Medicine, Wuxi Maternity and Child Health Care Hospital, Wuxi, Jiangsu, China.
Ying GuLab of Perinatal Medicine, Wuxi Maternity and Child Health Care Hospital, Wuxi, Jiangsu, China.
Jiaqi TangInstitute for Fetology, First Hospital of Soochow University, Suzhou, China.
Yongmei LiDepartment of Obstetrics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China.
Daozhen ChenLab of Perinatal Medicine, Wuxi Maternity and Child Health Care Hospital, Wuxi, Jiangsu, China.
Zhice XuLab of Perinatal Medicine, Wuxi Maternity and Child Health Care Hospital, Wuxi, Jiangsu, China.
Nanjing Maternity and Child Health Care Hospital · CNFirst Affiliated Hospital of Soochow University · CNSuzhou Municipal Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preeclampsia (PE) remains a leading cause of maternal and fetal mortality, due to ineffective treatment and diagnostic strategies, compounded by the lack of clarity on the etiology of the disorder. The early prediction or accurate diagnosis of PE is a concern of researchers. Liquid biopsy can be analyzed for cell-free nucleic acids and exosomes. Because circulating non-coding RNAs (ncRNAs) and peripheral blood exosomes can be detected in the peripheral blood of women in early pregnancy, these vesicles and their contents have become the focus of research on early predictive and diagnostic biomarkers for preeclampsia. In this review, we focus on recent studies addressing the roles of circulating ncRNAs and exosomes in PE, with particular attention paid to the potential application value of placenta-derived exosomes and circulating ncRNAs as PE-specific biomarkers.

Indexed as

Cell-Free Nucleic AcidsExosomesPre-EclampsiaBiomarkersFemaleHumansLiquid BiopsyPregnancyBiomarkersCell-Free Nucleic AcidsBiomarkerCirculating RNAsExosomePreeclampsia

Identifiers

PMID37450125
OpenAlexW4384347108

What OpenQuestion holds

Textmetadata
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.