Evidence map›Paper›PMID 36428829›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Placenta Accreta Spectrum (PAS) Disorder: Ultrasound versus Magnetic Resonance Imaging.

Ida Faralli, Valentina Del Negro, Alessandra Chinè, Natalia Aleksa, Enrico Ciminello, Maria Grazia Piccioni

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

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

8 citing papers in PubMed.

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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

6 authors.

Ida FaralliDepartment of Maternal and Child Health and Urological Sciences, "Sapienza" University of Rome, 00161 Rome, Italy.ORCID 0000-0001-5928-6216
Valentina Del NegroDepartment of Maternal and Child Health and Urological Sciences, "Sapienza" University of Rome, 00161 Rome, Italy.ORCID 0000-0003-0957-082X
Alessandra ChinèDepartment of Maternal and Child Health and Urological Sciences, "Sapienza" University of Rome, 00161 Rome, Italy.
Natalia AleksaDepartment of Maternal and Child Health and Urological Sciences, "Sapienza" University of Rome, 00161 Rome, Italy.
Enrico CiminelloDepartment of Statistical Sciences, "Sapienza" University of Rome, 00185 Rome, Italy.
Maria Grazia PiccioniDepartment of Maternal and Child Health and Urological Sciences, "Sapienza" University of Rome, 00161 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePAS is one of the most dangerous conditions associated with pregnancy and remains undiagnosed before delivery in from half to two-thirds of cases. Correct prenatal diagnosis is essential to reduce the burden of maternal and fetal morbidity. The purpose of our study is to evaluate the accuracy of US and MRI in the diagnosis of PAS. STUDY

designIn this retrospective study, 104 patients with suspected placenta accreta were enrolled and had been investigated with US and MRI. They were divided into four groups: no PAS, accreta, increta, and percreta.

resultsCompared to MRI, US results were higher in the diagnosis and in the identification of PAS severity (85% US vs. 80% MRI). For both methods, in the case of posterior placenta, there is greater difficulty in identifying the presence/absence of the disease (67% in both methods) and the severity level (61% US vs. 55% MRI).

conclusionUS, properly implemented with the application of defined and standardized scores, can be superior to MRI and absolutely sufficient for the diagnosis of PAS, limiting the use of MRI to a few doubtful cases and to cases in which surgical planning is necessary.

Indexed as

diagnostic ultrasoundmagnetic resonanceplacenta accreta spectrumplacental pathologyprenatal diagnosis

Identifiers

PMID36428829
PMCPMC9689630

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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.