Evidence map›Paper›PMID 37057203›Full record

ArticlePolish journal of radiology2023

Diagnostic models for the detection of intrauterine growth restriction and placental insufficiency severity based on magnetic resonance imaging of the placenta.

Behnaz Moradi, Elnaz Tabibian, Mohammad Ali Kazemi, Mahboobeh Shirazi, Mohammadreza Chavoshi, Sina Rashedi

Open access · diamondAbstract read
In one paragraph

Article in Polish journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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 2 institutions in 1 country.

Behnaz MoradiDepartment of Radiology, Women's Yas Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Elnaz TabibianDepartment of Radiology, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Ali KazemiDepartment of Radiology, Amiralam Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Mahboobeh ShiraziMaternal, Foetal and Neonatal Research Centre, Women's Yas Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Mohammadreza ChavoshiDepartment of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Sina RashediSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IRShariati Hospital · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We aimed to provide diagnostic models based on different parameters of placental magnetic resonance imaging (MRI) to detect intrauterine growth restriction (IUGR), as well as the severity of placental insufficiency. Material and methods: We included 44 foetuses with appropriate weight for gestational age (AGA) and 46 foetuses with documented IUGR, defined as the estimated foetal weight (EFW) below the 10 Results: The severity signs were detected in 25 (54.3%) IUGR cases. The diagnostic model for the differentiation of IUGR from AGA revealed an acceptable performance (area under the curve [AUC] of 0.749) and consisted of 2 variables: 1) the largest size of infarct ≥ 25 mm (odds ratio [OR] = 5.01, Conclusions: Placental MRI parameters can differentiate IUGR from AGA, and more precisely, assess the severity of placental insufficiency in IUGR foetuses.

Indexed as

diagnostic tool assessmentfoetal growth retardationmagnetic resonance imagingultrasonography

Identifiers

PMID37057203
PMCPMC10086608
OpenAlexW4365397468

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.