Evidence map›Paper›PMID 26733564›Full record

SynthesisBMJ open2016

Diffusion-weighted MRI in differentiating malignant from benign thyroid nodules: a meta-analysis.

Lihua Chen, Jian Xu, Jing Bao, Xuequan Huang, Xiaofei Hu, Yunbao Xia, Jian Wang

Abstract readEvaluation StudyMeta-Analysis
In one paragraph

Synthesis in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

Lihua ChenDepartment of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China Department of Radiology, Taihu Hospital, Wuxi, China.
Jian XuDepartment of General Surgery, Taihu Hospital, Wuxi, China.
Jing BaoMolecular Biology Lab, Wuxi Center for Disease Control and Prevention, Wuxi, China.
Xuequan HuangDepartment of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China.
Xiaofei HuDepartment of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China.
Yunbao XiaDepartment of Radiology, Taihu Hospital, Wuxi, China.
Jian WangDepartment of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo perform a meta-analysis to evaluate the diagnostic efficacy of diffusion-weighted imaging (DWI) in differentiating malignant from benign thyroid nodules.

designA meta-analysis. DATA SOURCES AND STUDY SELECTION: Medical and scientific literature databases were searched for original articles published up to August 2015. Studies were selected if they (1) included diagnostic DWI for differentiating malignant from benign thyroid lesions, (2) included patients who later underwent biopsy and (3) presented sufficient data to enable the construction of contingency tables. DATA SYNTHESIS: For each study, the true-positive, false-positive, true-negative and false-negative values were extracted or derived, and 2×2 contingency tables were constructed. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) instrument. The heterogeneity test, threshold effect test, subgroup analyses and publication bias analyses were performed.

resultsFrom the 113 identified search results, 15 studies, representing a total of 765 lesions, were included in the meta-analysis. We detected heterogeneity between studies but found no evidence of publication bias. The methodological quality was moderate. The pooled weighted sensitivity was 0.90 (95% CI 0.85 to 0.93); the specificity was 0.95 (95% CI 0.88 to 0.98); the positive likelihood ratio was 16.49 (95% CI 7.37 to 36.86); the negative likelihood ratio was 0.11 (95% CI 0.08 to 0.16); and the diagnostic OR was 150.73 (95% CI 64.96 to 349.75). The area under the receiver operator characteristic curve was 0.95 (95% CI 0.93 to 0.97).

conclusionsQuantitative DWI may be a non-invasive, non-radiative and accurate method of distinguishing malignant from benign thyroid nodules. Nevertheless, large-scale trials are necessary to assess its clinical value and to establish standards regarding b values and cut-off values for DWI-based diagnosis.

Indexed as

Diffusion Magnetic Resonance ImagingHumansThyroid GlandThyroid NoduleDiffusion-weighted imagingMeta-analysisthyroid nodules

Identifiers

PMID26733564
PMCPMC4716219

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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.