Evidence map›Paper›PMID 34527132›Full record

ArticleInternational journal of clinical and experimental pathology2021

Molecular alterations differentiate microinvasive carcinoma from ductal carcinoma in situ and invasive breast carcinoma: retrospective analysis of a large single-center series.

Yan Zhang, Ying Wu, Lei-Jun Huo, Shan-Shan Yan, Dong-Dong Wang, Hong-Yi Gao

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 52% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Complete disappearance of ductal carcinomaAnnals of medicine and surgery (2012) · 2026
    Article
  4. 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 at 1 institution in 1 country.

Yan ZhangDepartment of Pathology, Guangdong Women and Children Hospital Guangzhou, Guangdong, China.
Ying WuDepartment of Pathology, Guangdong Women and Children Hospital Guangzhou, Guangdong, China.
Lei-Jun HuoDepartment of Pathology, Guangdong Women and Children Hospital Guangzhou, Guangdong, China.
Shan-Shan YanDepartment of Pathology, Guangdong Women and Children Hospital Guangzhou, Guangdong, China.
Dong-Dong WangDepartment of Pathology, Guangdong Women and Children Hospital Guangzhou, Guangdong, China.
Hong-Yi GaoDepartment of Pathology, Guangdong Women and Children Hospital Guangzhou, Guangdong, China.
Guangdong Province Women and Children Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microinvasive carcinoma (MIC) of the breast is a rare lesion. The clinicopathologic features and biologic behavior of MIC are unclear. Whether MIC is a distinct entity or an interim stage in the progression from ductal carcinoma in situ (DCIS) to invasive breast carcinoma (IBC) remains to be determined. A retrospective review of clinicopathologic features and analysis of the expression of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2), and Ki-67 in patients with MIC (90 cases), DCIS (268 cases) and IBC (1504 cases) was performed. Most MICs (93.3%) exhibited an intermediate to high nuclear grade, and this proportion was larger than that of DCIS (62.7%,

Indexed as

breast carcinomaMicroinvasive carcinomamolecular subtype

Identifiers

PMID34527132
PMCPMC8414427
OpenAlexW3201035306

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.