Evidence map›Paper›PMID 32142374›Full record

ArticleThe British journal of radiology2020

Ultrasound elastography in characterization of prostatic lesions: correlation with histopathological findings.

Doaa M Emara, Nagy N Naguib, Mohamed Yehia, Mohamed M El Shafei

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  5. 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

4 authors at 2 institutions in 2 countries.

Doaa M EmaraDepartment of radiodiagnosis and intervention, faculty of medicine, Alexandria university, Alexandria, Egypt.
Nagy N NaguibAMEOS Hospital Halberstadt, Halberstadt, Germany.
Mohamed YehiaDepartment of Urology, faculty of medicine, Alexandria university, Alexandria, Egypt.
Mohamed M El ShafeiDepartment of radiodiagnosis and intervention, faculty of medicine, Alexandria university, Alexandria, Egypt.
Alexandria University · EGPrimed (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUltrasound elastography is increasingly used in the diagnosis of prostate cancer, however results are heterogeneous. We correlate in a large sample-size prospective study the accuracy of elastography, aiming to settle an accurate cut-off point for diagnosis and possibility of use as a screening tool.

methodsProspective study that included 120 patients with mean age 59.5 ± 9.8 years, showing enlarged prostate by clinical examination with prostate-specific antigen >4 ng ml

resultsThere was statistically significant difference (

conclusionStrain ratio improves the detection of prostatic cancer with high sensitivity (100%) and high negative predictive value (100%). ADVANCES IN KNOWLEDGE: Different prostatic lesions are mostly similar in grayscale ultrasound.Imaging plays an important role in differentiation of prostatic nodules.Ultrasound elastography may play an important role in distinguishing benign from malignant nodules.

Indexed as

AgedEchocardiography, Doppler, ColorElasticity Imaging TechniquesHumansImage-Guided BiopsyMaleMiddle AgedNeoplasm GradingPredictive Value of TestsProspective StudiesProstateProstate-Specific AntigenProstatic NeoplasmsSample SizeSensitivity and SpecificityProstate-Specific Antigen

Identifiers

PMID32142374
PMCPMC10993208
OpenAlexW3009334421

What OpenQuestion holds

Textmetadata
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.