Evidence map›Paper›PMID 34306362›Full record

ArticleAmerican journal of translational research2021

The diagnostic value of 3.0T MRI in cesarean scar pregnancy.

Shuning Guo, Haitao Wang, Xiuying Yu, Yang Yu, Chunguo Wang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Shuning GuoDepartment of Radiology, Linyi Central Hospital Linyi 276400, Shandong Province, China.
Haitao WangDepartment of Radiology, Linyi Central Hospital Linyi 276400, Shandong Province, China.
Xiuying YuDepartment of Imaging, Linyi Hospital of Traditional Chinese Medicine Linyi 276003, Shandong Province, China.
Yang YuDepartment of Radiology, Beijing Changping District Hospital Changping 102200, Beijing, China.
Chunguo WangDepartment of Radiology, Women's and Children's Health Care Hospital of Linyi Linyi 276016, Shandong Province, China.
Linyi People's Hospital · CNBeijing Tsinghua Chang Gung Hospital · CNLinyi City Chinese Medicine Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose was to evaluate the diagnostic value of 3.0T MRI in cesarean scar pregnancy (CSP).

methods56 patients with suspected CSP treated in our hospital from August 2018 to July 2020 were recruited as the study cohort and diagnosed using ultrasound and 3.0T MRI. With the pathological examination results as the gold standard and the ultrasound examination results as a comparison, the diagnostic value of 3.0T MRI was evaluated according to the diagnostic accuracy, sensitivity, specificity, and positive and negative misdiagnosis rates, etc. Results: The pathological examination showed that 33 patients were positive for CSP but the other 23 were negative. The accuracy, sensitivity, and specificity of 3.0T MRI in the CSP diagnoses were significantly higher than the accuracy, sensitivity, and specificity of the ultrasound diagnoses (P<0.05), and the positive and negative misdiagnosis rates were significantly lower than the misdiagnosis rates of the ultrasound diagnosis (P<0.05). Moreover, the images from two patients showed that 3.0T MRI can provide clear images of the patients' lesion locations.

conclusionCompared with ultrasound diagnoses, 3.0TMRI has significant advantages in diagnosing CSP and has a high clinical value.

Indexed as

3.0T MRIcesarean scar pregnancysensitivityspecificityultrasound diagnosis

Identifiers

PMID34306362
PMCPMC8290699
OpenAlexW3184027997

What OpenQuestion holds

Textmetadata
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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.