Evidence map›Paper›PMID 39231551›Full record

SynthesisBMJ open2024

Meta-analysis and systematic review of the diagnostic value of contrast-enhanced spectral mammography for the detection of breast cancer.

Jiulin Liu, Ran Xiao, Huijia Yin, Ying Hu, Siyu Zhen, Shihao Zhou, Dongming Han

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

Jiulin LiuDepartment of Magnetic Resonance Imaging (MRI), The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China.
Ran XiaoDepartment of Respiratory Medicine, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China.
Huijia YinDepartment of Magnetic Resonance Imaging (MRI), The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China.
Ying HuDepartment of Magnetic Resonance Imaging (MRI), The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China.
Siyu ZhenDepartment of Magnetic Resonance Imaging (MRI), The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China.
Shihao ZhouDepartment of Magnetic Resonance Imaging (MRI), The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China.
Dongming HanDepartment of Magnetic Resonance Imaging (MRI), The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China 625492590@qq.com.ORCID 0000-0001-8516-1396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective is to evaluate the diagnostic effectiveness of contrast-enhanced spectral mammography (CESM) in the diagnosis of breast cancer.

designDATA SOURCES: PubMed, Embase and Cochrane libraries up to 18 June 2022. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: We included trials studies, compared the results of different researchers on CESM in the diagnosis of breast cancer, and calculated the diagnostic value of CESM for breast cancer. DATA EXTRACTION AND SYNTHESIS: Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) evaluated the methodological quality of all the included studies. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses specification. In addition to sensitivity and specificity, other important parameters were explored in an analysis of CESM accuracy for breast cancer diagnosis. For overall accuracy estimation, summary receiver operating characteristic curves were calculated. STATA V.14.0 was used for all analyses.

resultsThis meta-analysis included a total of 12 studies. According to the summary estimates for CESM in the diagnosis of breast cancer, the pooled sensitivity and specificity were 0.97 (95% CI 0.92 to 0.98) and 0.76 (95% CI 0.64 to 0.85), respectively. Positive likelihood ratio was 4.03 (95% CI 2.65 to 6.11), negative likelihood ratio was 0.05 (95% CI 0.02 to 0.09) and the diagnostic odds ratio was 89.49 (95% CI 45.78 to 174.92). Moreover, there was a 0.95 area under the curve.

conclusionsThe CESM has high sensitivity and good specificity when it comes to evaluating breast cancer, particularly in women with dense breasts. Thus, provide more information for clinical diagnosis and treatment.

Indexed as

Breast NeoplasmsContrast MediaMammographySensitivity and SpecificityFemaleHumansROC CurveContrast Mediabreast imagingbreast tumoursdiagnostic radiology

Identifiers

PMID39231551
PMCPMC11407215

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Registered trials

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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.