Evidence map›Paper›PMID 41523840›Full record

ArticleChinese journal of cancer research = Chung-kuo yen cheng yen chiu2025

Diagnostic sensitivity of mammography and magnetic resonance imaging for ductal carcinoma

Mengmeng Li, Yixuan Lin, Keris Poelhekken, Marcel J W Greuter, Geertruida H de Bock, Monique D Dorrius

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In one paragraph

Article in Chinese journal of cancer research = Chung-kuo yen cheng yen chiu, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Mengmeng LiDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, the Netherlands.
Yixuan LinDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, the Netherlands.
Keris PoelhekkenDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, the Netherlands.
Marcel J W GreuterDepartment of Radiology, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, the Netherlands.
Geertruida H de BockDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, the Netherlands.
Monique D DorriusDepartment of Radiology, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Given the improved sensitivity of magnetic resonance imaging (MRI) for detecting ductal carcinoma Methods: PubMed, Embase, and Web of Science were searched for studies reporting the sensitivity of detecting DCIS in high-risk females up to July 02, 2025. Study quality was assessed with quality assessment of diagnostic accuracy studies-2 (QUADAS-2). Pooled sensitivity was estimated using a random-effects model, overall and stratified by age (<40 and ≥40 years old) and Results: Seventeen studies (18,348 participants, 211 with DCIS) were included. MRI showed significantly higher pooled sensitivity [85%, 95% confidence interval (95% CI): 74%-94%] than MG (36%, 95% CI: 23%-50%; P<0.001). No DBT data were available. Combined MRI and MG yielded the highest sensitivity (99%, 95% CI: 97%-100%), but offered no significant gain over MRI alone in females <40 years old (P=0.091) and in Conclusions: MRI is more sensitive than MG for DCIS detection in high-risk females. In females <40 years old and

Indexed as

breast carcinoma in situBreast neoplasmsearly detection of cancermagnetic resonance imagingmammographysensitivity and specificity

Identifiers

PMID41523840
PMCPMC12780790

What OpenQuestion holds

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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.