Evidence map›Paper›PMID 40395253›Full record

ArticleCureus2025

Unusual Axillary Recurrence Observed in Breast Cancer With Bloody Nipple Discharge: A Case Report.

Haruka Jono, Shoji Oura, Kiyoshi Yoshikawa

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Haruka JonoDepartment of Surgery, Kishiwada Tokushukai Hospital, Kishiwada, JPN.
Shoji OuraDepartment of Surgery, Kishiwada Tokushukai Hospital, Kishiwada, JPN.
Kiyoshi YoshikawaDepartment of Surgery, Suita Tokushukai Hospital, Suita, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After breast cancer surgery, a major part of axillary recurrences occur in lymph nodes. We report a case of breast cancer in which bloody nipple discharge spillage onto the surgical field was possibly associated with axillary recurrence. A 47-year-old woman with a history of mastectomy and sentinel node biopsy noticed an axillary mass. Her luminal breast cancer had been detected by bloody nipple discharge and pathologically diagnosed as a predominantly intraductal carcinoma seven years before. The axillary lesion was depicted as an oval mass both with indistinct margins and predominant internal high echoes on ultrasound. Magnetic resonance imaging of the mass showed slightly low signals on T1-weighted images and faint high signals on fat-suppressed T2-weighted images. Positron emission tomography showed no avid fluorodeoxyglucose uptake in the axillary mass. Due to the proven cytological malignancy of the axillary mass, the patient underwent salvage axillary dissection under the tentative diagnosis of axillary node recurrence. Post-operative pathological study, however, showed that the mass had atypical cells growing in cribriform and tubular fashions in the fibro-fatty tissue and did not have any lymph node structures, noninvasive cancer components, lympho-vascular involvement, normal mammary gland components, and metastatic foci in the dissected lymph nodes. These results suggested an association between bloody nipple discharge spillage onto the surgical field and axillary recurrence. The patient has been well on adjuvant leuprorelin and letrozole therapy for six months. Breast surgeons should note that bloody nipple discharge spillage during the operation may be a risk factor for local recurrence.

Indexed as

axillary recurrencebloody nipple dischargebreast cancercancer cell disseminationindistinct margins

Identifiers

PMID40395253
PMCPMC12092078

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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.