Evidence map›Paper›PMID 35795246›Full record

ArticleInternational journal of women's health2022

The Clinical Value of Prenatal Ultrasonography in the Differential Diagnosis of Fetal Suprarenal Space-Occupying Lesions.

Wen-Hua Zeng, Xian-Jin Wang, Xin Zhou

Open access · goldAbstract read
In one paragraph

Article in International journal of women's health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Wen-Hua ZengDepartment of Ultrasound, Jiangxi Maternal and Child Health Hospital, Nanchang, People's Republic of China.
Xian-Jin WangDepartment of Ultrasound, Jiangxi Maternal and Child Health Hospital, Nanchang, People's Republic of China.
Xin ZhouDepartment of Ultrasound, Jiangxi Maternal and Child Health Hospital, Nanchang, People's Republic of China.
Jiangxi Maternal and Child Health Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the value of prenatal ultrasonography in the differential diagnosis of fetal space-occupying lesions in the adrenal gland. Methods: Thirty-six fetuses with adrenal gland space-occupying lesions diagnosed by prenatal ultrasonography between January 2019 and July 2021 were included in this retrospective study. The clinical data, ultrasonographic features, treatments, and prognoses of the fetuses were analyzed. Postnatal diagnoses were made using computed tomography (CT), magnetic resonance imaging, and surgical resection. Results: Of the 36 fetuses, 10 were diagnosed with adrenal hematomas, eight with adrenal neuroblastomas, seven with adrenal cysts, seven with subphrenic pulmonary sequestration, and four with adrenal teratomas. The accuracy of prenatal diagnosis was highest in those with adrenal cysts and subphrenic pulmonary sequestration, with the accuracy being 85.7% for both conditions. The mean gestational age at first detection of subphrenic pulmonary sequestration was 22.5 ± 3.1 weeks, which was significantly lower than that of other diagnoses ( Conclusion: Prenatal ultrasonography can help differentiate between different types of fetal adrenal space-occupying lesions, and there is a high coincidence rate between the diagnosis of adrenal cysts and subphrenic pulmonary sequestration.

Indexed as

fetus massprenatal diagnosissuprarenal space-occupying lesionultrasonography

Identifiers

PMID35795246
PMCPMC9252586
OpenAlexW4285741157

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.