Evidence map›Paper›PMID 31023234›Full record

SynthesisBMC gastroenterology2019

Diagnostic effect of shear wave elastography imaging for differentiation of malignant liver lesions: a meta-analysis.

Xing Hu, Xiaojie Huang, Hui Chen, Tong Zhang, Jianhua Hou, Aixin Song, Lei Ding, Weiyuan Liu, Hao Wu, Fankun Meng

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Refraction artifact on abdominal sonogram.Journal of medical ultrasonics (2001) · 2021
    Review
  9. Review
  10. 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

10 authors.

Xing HuUltrasound and Functional Diagnosis Center, Beijing Youan Hospital, Capital Medical University, No 8, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China.
Xiaojie HuangCenter for Infectious Disease, Beijing Youan Hospital, Capital Medical University, No 8, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China.
Hui ChenSchool of Biomedical Engineering, Capital Medical University, Beijing, China.
Tong ZhangCenter for Infectious Disease, Beijing Youan Hospital, Capital Medical University, No 8, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China.
Jianhua HouCenter for Infectious Disease, Beijing Youan Hospital, Capital Medical University, No 8, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China.
Aixin SongCenter for Infectious Disease, Beijing Youan Hospital, Capital Medical University, No 8, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China.
Lei DingUltrasound and Functional Diagnosis Center, Beijing Youan Hospital, Capital Medical University, No 8, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China.
Weiyuan LiuUltrasound and Functional Diagnosis Center, Beijing Youan Hospital, Capital Medical University, No 8, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China.
Hao WuCenter for Infectious Disease, Beijing Youan Hospital, Capital Medical University, No 8, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China. whdoc@sina.com.
Fankun MengUltrasound and Functional Diagnosis Center, Beijing Youan Hospital, Capital Medical University, No 8, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China. mengfankun818@126.com.ORCID http://orcid.org/0000-0001-5116-7757

Funding

Beijing Key Laboratory No. BZ0089Major Project of Beijing Municipal Science and Technology Committee D161100000416003, D171100000517003the Capital Health Research and Development of Special Fund 2016-1-2182the Chinese Government 13th Five-Year Plan 2017ZX10201101the National Natural Science Foundation of China No. 81701984the National Science and Technology Major Project 2018ZX10302205-005the NSFC-NIH Biomedical collaborative research program 81761128001the Scientific Research Project of You'an Hospital, CCMU, 2018 No. YNKTTS20180106
6 · The paper itself

Abstract

backgroundShear wave elastography (SWE) imaging have been proposed for characterization of focal liver lesions. We conducted a meta-analysis to evaluate the accuracy and clinical utility of SWE imaging for differentiation of malignant and benign hepatic lesions.

methodsPubMed, Embase, Web of Science, and the Cochrane Library were systematically reviewed to search for studies published between January 1, 1990, and November 30, 2018. The studies published in English relating to the evaluation the diagnostic accuracy of SWE imaging for distinguishing malignant and benign liver lesions were retrieved and examined for pooled sensitivity, specificity, likelihood ratios, and diagnostic odds ratios, using bivariate random-effects models. The hierarchical summary receiver operating characteristic (HSROC) curve was estimated to assess the SWE imaging accuracy. The clinical utility of SWE imaging for differentiation of malignant liver lesions was evaluated by Fagan plot.

resultsA total of 15 studies, involving 1894 liver lesions in 1728 patients, were eligible for the meta-analysis. The pooled sensitivity and specificity for identification of malignant liver lesions were 0.82 (95% CI: 0.77-0.86) and 0.82 (95% CI: 0.76-0.87), respectively. The AUC was 0.89 (95% CI: 0.86-0.91). When the pre-test probability was 50%, after SWE imaging measurement over the cut-off value (positive result), the corresponding post-test probability for the presence of malignant liver lesions was 82%; the post-test probability was 18% after negative measurement.

conclusionsSWE imaging showed high sensitivity and specificity in differentiating malignant and benign liver lesions and may be promising for noninvasive evaluation of liver lesions.

trial registrationThe review was registered in the International Prospective Register of Systematic Reviews (PROSPERO): CRD42018104510 .

Indexed as

Elasticity Imaging TechniquesDiagnosis, DifferentialHumansLiver NeoplasmsDiagnosisElasticity imaging techniquesLiver neoplasmsMeta-analysisUltrasonography

Identifiers

PMID31023234
PMCPMC6485138

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.