Evidence map›Paper›PMID 33312952›Full record

SynthesisFrontiers in oncology2020

Diagnostic Performance of Contrast-Enhanced Ultrasound in Renal Cancer: A Meta-Analysis.

Ke-Hao Pan, Li Jian, Wei-Jun Chen, Abdul Aziz Nikzad, Fang Q Kong, Xu Bin, Ya-Li Wang, Ming Chen

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2020. 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
1.4field-weighted citation impact, top 15% of its field
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, 29 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. Article
  5. Article
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  7. Review
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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

8 authors at 3 institutions in 1 country.

Ke-Hao PanAffiliated Zhongda Hospital of Southeast University, Southeast University, Nanjing, China.
Li JianDepartment of Urology, Jinhu People's Hospital, Jinghua, China.
Wei-Jun ChenDepartment of Urology, JinTan People's Hospital, Changzhou, China.
Abdul Aziz NikzadDepartment of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China.
Fang Q KongDepartment of Nosocomial Infection, Affiliated Zhongda Hospital of Southeast University, Nanjing, China.
Xu BinAffiliated Zhongda Hospital of Southeast University, Southeast University, Nanjing, China.
Ya-Li WangAffiliated Zhongda Hospital of Southeast University, Southeast University, Nanjing, China.
Ming ChenAffiliated Zhongda Hospital of Southeast University, Southeast University, Nanjing, China.
Zhongda Hospital Southeast University · CNHonghu People’s Hospital · CNJiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContrast-enhanced ultrasound (CEUS) is an examination mode for detecting blood vessels in tissues, and it has been gradually used in the diagnosis of kidney cancer in recent years. This study explores the value of contrast-enhanced ultrasound in the clinical diagnosis of renal cancer, and provides an accurate and effective method for clinical diagnosis of renal cancer.

methodsCEUS and RCC were selected as the keywords. Searching the PubMed and Embase from 2007 to 2020, the original data were abstracted and performed heterogeneity test with the Meta-Disc software. The weighted sensitivity, specificity, positive likelihood ratio and negative likelihood ratio were calculated, as well as the summary receiver operating characteristic (SROC) curve. Further estimated the diagnostic value of CEUS in the research of renal cancer by calculating the area under the curve (AUC). The quality of evidence in researches was evaluated by QUADAS items. Meta-disc, Review Manager 5.3, and STATA 13 were used.

resultsA total of 20 studies were adopted for Meta-analysis. The weighted sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 0.97, 0.86, 6.8, 0.04 and 171, respectively; and AUC was 0.97. The results showed that there was high heterogeneity.

conclusionCEUS technology has a good diagnostic value for RCC.

Indexed as

contrast-enhanced ultrasounddiagnosismeta-analysisrenal cancertumor imaging

Identifiers

PMID33312952
PMCPMC7703431
OpenAlexW3103624933

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.