Evidence map›Paper›PMID 40841628›Full record

SynthesisBMC medical imaging2025

Determination of lymph node metastasis using quantitative ultrasound elastography of papillary thyroid carcinoma nodule: a systematic review and meta-analysis.

Alisa Mohebbi, Saeed Mohammadzadeh, Mohammad Ghaffari, Afshin Mohammadi, Nathalie J Bureau, Ali Abbasian Ardakani

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alisa MohebbiDepartment of Radiology, Tehran University of Medical Sciences, Imam Khomeini Hospital, Tehran, Iran.
Saeed MohammadzadehDepartment of Radiology, Tehran University of Medical Sciences, Imam Khomeini Hospital, Tehran, Iran.
Mohammad GhaffariSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Afshin MohammadiDepartment of Radiology, Faculty of Medicine, Urmia University of Medical Science, Urmia, Iran.
Nathalie J BureauResearch Center, Centre Hospitalier de l'Université de Montréal CA, Montreal, QC, Canada.
Ali Abbasian ArdakaniDepartment of Radiology Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. ardakani@sbmu.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposepapillary thyroid carcinoma (PTC) as the most common thyroid tumor, tends to invade adjacent organs, especially lymphatic system. This study aimed to evaluate the discrimination performance of ultrasound elastography (USE) in assessing PTC nodule for determination of cervical lymph node metastasis (CLNM).

methodsThe protocol was pre-registered at ( https://osf.io/r5tc8 ). Using PubMed, Web of Science, Embase, and Cochrane Library, studies published up to March 10, 2025, were identified. Data extraction was conducted independently, and a random-effects bivariate model was applied to estimate pooled differentiation accuracy estimates.

resultsTwenty-one studies were included involving 7559 patients; 2790 (36%) were positive for CLNM, while 4769 (63%) were negative. The pooled E

conclusionUSE parameters demonstrated potential as a discrimination tool for the preoperative assessment of CLNM, particularly when combined with conventional ultrasound, which enhances its performance. CLINICAL TRIAL NUMBER: N/A.

Indexed as

Elasticity Imaging TechniquesLymphatic MetastasisThyroid Cancer, PapillaryThyroid NeoplasmsThyroid NoduleHumansLymph NodesDiagnostic test accuracy (DTA)Malignant nodulesPapillary thyroid carcinoma (PTC)Ultrasound elastography (USE)

Identifiers

PMID40841628
PMCPMC12369039

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Registered trials

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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.