Evidence map›Paper›PMID 39570877›Full record

SynthesisPloS one2024

The diagnostic performance of cochlear endolymphatic hydrops and perilymphatic enhancement in stratifying Ménière's disease probabilities: A meta-analysis of semi-quantitative MRI-based grading systems.

Neda Azarpey, Shahrzad-Sadat Seyed-Bagher-Nazeri, Omid Yazdani, Romina Esbati, Paria Boustani, Mobasher Hajiabbasi, Pouya Torabi, Dorreh Farazandeh, Hana Farzaneh, Ashkan Azizi and 3 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the 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

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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

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

13 authors.

Neda AzarpeyDepartment of Radiology, Shahid Beheshti University, Tehran, Iran.
Shahrzad-Sadat Seyed-Bagher-NazeriFaculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Omid YazdaniDepartment of Radiology, Shahid Beheshti University, Tehran, Iran.ORCID 0000-0002-0798-3308
Romina EsbatiDepartment of Radiology, Shahid Beheshti University, Tehran, Iran.
Paria BoustaniFaculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mobasher HajiabbasiFaculty of Medicine, Islamic Azad University of Tonekabon, Tonekabon, Iran.
Pouya TorabiFaculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Dorreh FarazandehFaculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Hana FarzanehDepartment of Radiology, Iran University of Medical Sciences, Tehran, Iran.
Ashkan AziziFaculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0009-0007-5465-3209
Behnam AminiFaculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-6295-0058
Moein GhasemiFaculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Zohre GhasemiDepartment of Otorhinolaryngology-Head and Neck Surgery, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe diagnosis of Meniere's Disease (MD) presents significant challenges due to its complex symptomatology and the absence of definitive biomarkers. Advancements in MRI technology have spotlighted endolymphatic hydrops (EH) as a key pathological marker, necessitating a reevaluation of its diagnostic utility amidst the need for standardized and validated MRI-based grading scales.

methodsOur meta-analysis scrutinized the diagnostic efficacy of semi-quantitative MRI-based cochlear endolymphatic hydrops (EH) and perilymphatic enhancement (PLE) grading systems in delineating clinically relevant discriminations: "Spotting" the shift from normal or asymptomatic ears to possible/probable MD (pMD), "Confirming" the progression to definite MD (dMD), and "Establishing" the presence of dMD. A thorough literature search up to October 2023 resulted in 35 pertinent studies, forming the basis of our analysis through a bivariate mixed-effects regression model.

resultsUsing criteria from the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) and Barany Society, across varying thresholds and disease probabilities; the Establishment model at an EH grade 1 threshold revealed a sensitivity of 85.4% and a specificity of 82.7%. Adjusting the threshold to EH grade 2 results in a sensitivity increase to 92.1% (CI: 85.9-95.7) and a specificity decrease to 70.6% (CI: 64.5-76.1), with a DOR of 28.056 (CI: 14.917-52.770). The Confirmation model yields a DOR of 5.216, indicating a lower diagnostic accuracy. The Spotting model demonstrates a sensitivity of 48.3% (CI: 34.8-62.1) and a specificity of 88.0% (CI: 77.8-93.9), with a DOR of 6.882. The normal ears subgroup demonstrated a notably high specificity of 89.7%, while employing Nakashima's criteria resulted in a reduced sensitivity of 74.9%, significantly diverging from other systems (p-value < 0.001). The PLE grading system showcased exceptional sensitivity of 98.4% (CI: 93.7-99.6, p-value < 0.001).

conclusionOur meta-analysis supports a tailored diagnostic approach for MD, emphasizing the need for effective grading systems at each stage. For "Spotting," the model shows high specificity but requires improved sensitivity, suggesting additional criteria are needed. The "Confirming" stage highlights the need for refined, sensitive grading systems due to lower diagnostic accuracy. In the "Establishing" stage, an EH grade 1 threshold is effective, but grade 2 enhances sensitivity while reducing specificity, indicating a need for balance. The PLE grading system excels in sensitivity, making it highly reliable. High specificity in the normal ears subgroup confirms accurate non-pathological distinction, though Nakashima's criteria show reduced sensitivity, underscoring variability in grading systems. These findings advocate for a standardized, unified grading system balancing sensitivity and specificity across all MD stages to optimize diagnostics and clinical outcomes.

Indexed as

Endolymphatic HydropsMagnetic Resonance ImagingMeniere DiseaseCochleaHumansPerilymph

Identifiers

PMID39570877
PMCPMC11581247

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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.