Evidence map›Paper›PMID 34002158›Full record

ArticleWorld journal of clinical cases2021

Diabetic mastopathy in an elderly woman misdiagnosed as breast cancer: A case report and review of the literature.

Xiao-Xiao Chen, Shi-Jun Shao, Hua Wan

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Diabetic mastopathy: about two cases.The Pan African medical journal · 2024
    Article
  6. Article
  7. Diabetic Mastopathy. Review of Diagnostic Methods and Therapeutic Options.International journal of environmental research and public health · 2021
    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

3 authors at 1 institution in 1 country.

Xiao-Xiao ChenDepartment of Breast, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200001, China.
Shi-Jun ShaoDepartment of Breast, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200001, China.
Hua WanDepartment of Breast, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200001, China. drwanhua@163.com.
Shuguang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic mastopathy is a rare benign disease in clinical practice that mainly occurs in young and middle-aged women with type 1 diabetes. It has also been reported that this disease can be found in patients with type 2 diabetes and other autoimmune diseases, such as Hashimoto's thyroiditis, as well as in men. The pathogenesis of diabetic mastopathy is not yet clear, and it is easily confused with breast cancer due to their similar clinical manifestations and imaging features. CASE SUMMARY: A 69-year-old female patient was admitted because of painless breast masses, with a history of type 2 diabetes. The imaging and physical examination suggested a high risk of breast cancer. Further histopathological analysis showed dense lymphocytes infiltrating around the lobules of the breast, and extensive fibrosis of the surrounding stroma. Finally, diabetic mastopathy was diagnosed.

conclusionThe diagnosis of diabetic mastopathy in elderly patients with painless breast masses is difficult to distinguish from breast cancer, and its imaging manifestations are not specific.

Indexed as

AutoimmunityCase reportDiabetesDiabetic mastopathyLiterature reviewMammary gland disease

Identifiers

PMID34002158
PMCPMC8107902
OpenAlexW3157951667

What OpenQuestion holds

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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.