Evidence map›Paper›PMID 30233245›Full record

ArticleCancer management and research2018

Comprehensive analysis of clinical utility of three-dimensional ultrasound for benign and malignant breast masses.

Jun Fu, Yanyan Li, Na Li, Zhanzhan Li

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 5 pooled it
0.5field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 5 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
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 1 institution in 1 country.

Jun FuDepartment of Oncology, liche4006@126.com.
Yanyan LiDepartment of Nursing, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, China.
Na LiDepartment of Oncology, liche4006@126.com.
Zhanzhan LiDepartment of Oncology, liche4006@126.com.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThree-dimensional (3-D) ultrasound is commonly used for screening breast cancer; however, the diagnostic accuracy of this method is unknown. Here, we performed a systematic search on the literature to assess the clinical utility of 3-D ultrasound in benign and malignant breast masses. MATERIALS AND

methodsWe conducted searches in several online databases covering all publications prior to August 15, 2017. The bivariate random effects model was used to assess the overall sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and summary area under receiver operating curve (AUC) with their corresponding 95% CI.

resultsThe overall sensitivity of 3-D ultrasound for diagnosing benign and malignant breast masses was 89% (95% CI, 83%-93%) and the specificity was 88% (95% CI, 83%-92%) with high heterogeneity (

conclusionThree-dimensional ultrasound offers high sensitivity and specificity, with a high AUC, indicating a strong diagnostic value for detecting benign and malignant breast masses. Three-dimensional ultrasound may therefore represent an excellent option for secondary analysis of unclear breast lesions.

Indexed as

breast cancerdiagnosticmeta-analysisthree-dimensional ultrasound

Identifiers

PMID30233245
PMCPMC6132230
OpenAlexW2889858727

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.