Evidence map›Paper›PMID 24986664›Full record

ArticleDiagnostic pathology2014

Clinical application of contrast enhanced ultrasound to diagnose benign prostatic hyperplasia.

Jingfang Shi, Xiaohua Yin, Rong Xu, Yingchun Wang, Lin Jin, Weiwei Gao

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Diagnostic pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Jingfang ShiDepartment of Ultrasound, Jiading Center Hospital, Shanghai 201800, China. shijingfangpia@hotmail.com.
Xiaohua Yin
Rong Xu
Yingchun Wang
Lin Jin
Weiwei Gao
Jiading District Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to investigate the clinical significance of contrast enhanced ultrasound (CEUS) in diagnosis of benign prostatic hyperplasia (BPH) through comparing CEUS parameters between BPH and normal person.

methodsA retrospective study of sixty BPH patients (aged 73.5 ± 20.5 years old) and thirty normal controls without prostate diseases (aged 75.3 ± 19.7 years old) who had accepted CEUS detection were performed. Time-intensity curves were obtained for all tests in regions of interest. Images were processed using ACQ software and the following parameters were obtained: arrival time (AT), peak intensity (P), time to peak (TP), area under the curve (AUC), mean transit time (MTT) and extinction time (ET). Differences in inner and outer gland of prostate between BPH and the normal tissue were evaluated.

resultsThere was a clear boundary between the inner and outer gland of BPH prostate. AT, TP, MTT, ET and P in BPH outer gland were significantly higher than the control group. In inner gland, MTT, ET, AUC and P were also significantly higher than the controls. The accurate rate to diagnose BPH using CEUS was 95.6%, and the sensitivity and specificity were 95.0% and 96.7%, respectively.

conclusionsAmong these significantly changed parameters, the increases of MTT, ET and AUC in inner gland and AT, TP in outer gland were most likely related to BPH. These parameters provide an objective visual assessment to diagnosis of BPH. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/4852383312229155.

Indexed as

AgedHumansMaleProstatic HyperplasiaSensitivity and SpecificityUltrasonography

Identifiers

PMID24986664
PMCPMC4108000
OpenAlexW2080311594

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.