Evidence map›Paper›PMID 37294452›Full record

ArticleArchives of gynecology and obstetrics2024

Ultrasonographic imaging of the fetal hippocampus.

Erzat Toprak, Hasan Berkan Sayal

Registry-linked trialAbstract read
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In one paragraph

Article in Archives of gynecology and obstetrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07245056 (Evaluation of the Fetal Fornix and Hippocampus in Pregnant Women With Early-Onset Preeclampsia), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

NCT07245056 narecruitingnot on this mapstarted 2025, after this paper: background citation

Evaluation of the Fetal Fornix and Hippocampus in Pregnant Women With Early-Onset Preeclampsia

TypeinterventionalSponsorAnkara Etlik City HospitalRan2025 to 2026Enrolled84ConditionsPre-Eclampsia, HippocampusArmsFHC dimensions in EOPE and control groups
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

2 authors.

Erzat ToprakClinic of Perinatology, Private Medova Hospital, Konya, Turkey. erzattoprak@hotmail.com.ORCID http://orcid.org/0000-0002-2877-1232
Hasan Berkan SayalDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine Unit, Republic of Turkey, Ministry of Health, Antalya Training and Research Hospital, Antalya, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective was to identify the fetal hippocampus and fornix using 2D and to measure the C-shaped length of fornix and hippocampus.

methodsThis study was designed in cross-section. Healthy singleton and between 18 and 24 weeks of gestation pregnant women who applied to the perinatology outpatient clinic for second-level ultrasound scanning between December 2022 and February 2023 were included in the study. Patients were screened consecutively. Demographic information of the participants was obtained and an ultrasound scan was performed. The fetal fornix-hippocampus' length and hippocampal height were measured in the sagittal section. Data were presented as mean ± standard deviation, median (min, max), or number (percent).

resultsA total of 92 patients were included in the study. Fetal fornix and hippocampus measurements were taken in % 97.8 (90/92) patients. The mean of the fetal fornix-hippocampus length and fetal hippocampus height of 90 patients were measured as 35.6 ± 3.0 and 4.7 ± 3.9, respectively.

conclusionFetal fornix and hippocampus can be visualized in easily with two-dimensional ultrasound during anomaly scanning in the second trimester.

Indexed as

HippocampusUltrasonography, PrenatalFemaleHumansPregnancyPregnancy Trimester, SecondPregnancy Trimester, ThirdUltrasonographyFetal fornixFetal hippocampusSecond trimesterTwo-dimensional ultrasound

Identifiers

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Registered trials

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.