Evidence map›Paper›PMID 36743372›Full record

ReviewIranian journal of public health2022

Spleen Stiffness on Magnetic Resonance Elastography for the Detection of Portal Hypertension: A Systematic Review and Meta-Analysis.

Ma Yiyi, Qian Xiaoqin, Zhang Lei

Registry-linked trialAbstract readReview
In one paragraph

Review in Iranian journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06089785 (Evaluation of Splenic Stiffness in Liver Cell Failure Patients), 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.

NCT06089785 not yet recruitingnot on this mapstarted 2023, after this paper: background citation

Evaluation of Splenic Stiffness in Liver Cell Failure Patients:Role of Elastography

Typeobservational_patient_registrySponsorOmnia Saad Desoky MohamedRan2023 to 2027Enrolled77ConditionsLiver Cell DamageArmselastography
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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.

Ma YiyiDepartment of Ultrasound, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu Province, 214000, China.
Qian XiaoqinDepartment of Ultrasound, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu Province, 214000, China.
Zhang LeiDepartment of Ultrasound, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu Province, 214000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic liver disease, complicated by portal hypertension (PH), may alter the extra-hepatic hemodynamic condition and spleen stiffness (SS). We aimed to evaluate the diagnostic accuracy of MRI-based elastographic methods (MRE) for detecting PH. Methods: Seven studies were included with reference to SS with regard to the prediction of PH patients. Major outcomes considered for data extraction were diagnostic parameters for MRI for concluding mild PH, clinically significant PH and severe PH. PubMed, Scopus, Google Scholar, Cochrane and Science Direct databases were used to extract the published literature through to May, 2021Using the Rayyan Zotero and R softwares. Results: Out of 587 studies extracted, 7 were selected based on inclusion and exclusion criteria. A QUADAS-2 assessment showed that all studies were clear in terms of patient selection and reference standard. A funnel plot showed that all the selected studies were outliers, indicating a low level of accuracy for the studies included. Subgroup analysis, with reference to SS as a predictor of PH, revealed raw mean difference (RMD) of 7.78% (95% CI 5.23-10.34, Conclusion: The real-time MRE has acceptable specificity and sensitivity for diagnosing SS.

Indexed as

Chronic liver diseaseElastographyPortal hypertensionSpleen stiffness

Identifiers

PMID36743372
PMCPMC9884383

What OpenQuestion holds

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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.