Evidence map›Paper›PMID 35855989›Full record

ArticleHeliyon2022

Application of whole exome sequencing in fetal cases with skeletal abnormalities.

Juan Cao, An'er Chen, Liyun Tian, Lulu Yan, Haibo Li, Bihua Zhou

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Sequential prenatal diagnosis of fetal skeletal dysplasia: A cohort study.Acta obstetricia et gynecologica Scandinavica · 2025
    Article
  4. AAJP reports · 2024
    Article
  5. Article
  6. 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.

Juan CaoNingbo Women and Children Healthcare Center, Ningbo Women and Children's Hospital, Ningbo, Zhejiang, 315-12, China.
An'er ChenNingbo Women and Children Healthcare Center, Ningbo Women and Children's Hospital, Ningbo, Zhejiang, 315-12, China.
Liyun TianNingbo Women and Children Healthcare Center, Ningbo Women and Children's Hospital, Ningbo, Zhejiang, 315-12, China.
Lulu YanNingbo Women and Children Healthcare Center, Ningbo Women and Children's Hospital, Ningbo, Zhejiang, 315-12, China.
Haibo LiNingbo Women and Children Healthcare Center, Ningbo Women and Children's Hospital, Ningbo, Zhejiang, 315-12, China.
Bihua ZhouNingbo Women and Children Healthcare Center, Ningbo Women and Children's Hospital, Ningbo, Zhejiang, 315-12, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate the role of whole exome sequencing (WES) technology in fetuses with skeletal abnormalities (SKA) for establishing an appropriate clinical diagnosis and treatment path. Methods: From April 2019 to August 2020, eight special families were enrolled into the study. Their fetuses showed abnormal SKA by ultrasonic testing during pregnancy, but it is inconsistent with the normal results identified by chromosomal microarray analysis (CMA) of amniotic fluid or abortion. For further diagnosis, WES was performed to detect the causative genes mutations followed by Sanger sequencing. Results: Among of these eight fetuses with SKA, we found more than half of pathogenic mutations were in Conclusion: Our study reported several novel heterozygous mutations which expands the

Indexed as

COL1A1/2Prenatal diagnosisSkeletal abnormalities (SKA)Whole exome sequencing (WES)

Identifiers

PMID35855989
PMCPMC9287157
OpenAlexW4284974710

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.