Evidence map›Paper›PMID 36003299›Full record

ArticleFrontiers in neurology2022

Fetal magnetic resonance imaging in the diagnosis of spinal cord neural tube defects: A prospective study.

Gan Gao, Benzhang Tao, Yanyan Chen, Jiaqi Yang, Mengchun Sun, Hui Wang, Fangbin Hao, Simeng Liu, Minjie Wang, Aijia Shang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. 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
1.9field-weighted citation impact, top 14% 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, 5 citations in OpenAlex.

  1. Diagnostic techniques and detailed assessment of fetal intraspinal lipoma: a prospective study.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Article
  2. Review
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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

10 authors at 2 institutions in 1 country.

Gan GaoDepartment of Neurosurgery, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Benzhang TaoChinese People's Liberation Army (PLA) Medical School, Beijing, China.
Yanyan ChenDepartment of Anesthesiology, The 960th Hospital of the Chinese People's Liberation Army (PLA), Taian, China.
Jiaqi YangDepartment of Neurosurgery, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Mengchun SunChinese People's Liberation Army (PLA) Medical School, Beijing, China.
Hui WangChinese People's Liberation Army (PLA) Medical School, Beijing, China.
Fangbin HaoDepartment of Neurosurgery, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Simeng LiuDepartment of Neurosurgery, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Minjie WangDepartment of Neurosurgery, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Aijia ShangDepartment of Neurosurgery, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Chinese People's Liberation Army · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to evaluate the value of fetal magnetic resonance imaging (MRI) in the prenatal diagnosis of spinal neural tube defects. Methods: From August 2018 to January 2021, 56 fetuses with suspected spinal cord neural tube defects were treated by prenatal ultrasound in the Neurosurgery Department of the First Medical Center of the People's Liberation Army General Hospital. Fetal MRI was performed within 72 h after ultrasound diagnosis. Forty singleton fetuses were selected. Magnetic resonance examination was performed within 1 month after birth, and the diagnostic coincidence rates of prenatal ultrasound and fetal magnetic resonance examination in the prenatal diagnosis of spinal cord neural tube defects were compared and analyzed using postnatal magnetic resonance examination as the standard. Results: The coincidence rates of prenatal ultrasound and fetal MRI for the prenatal diagnosis of spina bifida were 71.4% (20/28) and 39.2% (11/28), respectively, and the difference was statistically significant. The coincidence rates of prenatal ultrasound and fetal MRI in the diagnosis of intraspinal lipoma were 52.6% (10/19) and 73.7% (14/19), respectively, and the difference was statistically significant. Conclusion: Fetal MRI has an advantage over prenatal ultrasound in detecting intraspinal lipoma. Prenatal ultrasound has an advantage over fetal MRI in detecting spina bifida.

Indexed as

fetalMRIprenatal diagnosisspinal neural tube defectsultrasound

Identifiers

PMID36003299
PMCPMC9393549
OpenAlexW4290614488

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.