Evidence map›Paper›PMID 41827927›Full record

ReviewDiagnostics (Basel, Switzerland)2026

From Standard Establishment to Precision Intelligence: Research Progress in Quality Control of Mammography.

Hongyang Du, Yuxi Zhou, Mingming Ma, Yuan Jiang, Naishan Qin

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2026. 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. 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

5 authors.

Hongyang DuDepartment of Radiology, Peking University First Hospital, Beijing 100034, China.ORCID 0009-0006-4122-3499
Yuxi ZhouDepartment of Radiology, Peking University First Hospital, Beijing 100034, China.
Mingming MaDepartment of Radiology, Peking University First Hospital, Beijing 100034, China.
Yuan JiangDepartment of Radiology, Peking University First Hospital, Beijing 100034, China.
Naishan QinDepartment of Radiology, Peking University First Hospital, Beijing 100034, China.

Funding

Wu Jieping Medical Foundation Special Funding Program for Clinical Research 320.6750.2021-6-33
6 · The paper itself

Abstract

Breast cancer remains the most common female cancer globally, and mammography is pivotal for its early screening and diagnosis, with quality control (QC) as a core guarantee. Mammography QC has advanced from early technical exploration to whole-process management, driven by technological innovation and standardized protocols. This review summarizes the historical evolution, influencing factors, corresponding measures, limitations, and prospects of mammography QC to promote the construction of standardized management systems.

Indexed as

artificial intelligencemammographyquality controlstandardizationtechnological evolution

Identifiers

PMID41827927
PMCPMC12984407

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.