Evidence map›Paper›PMID 41048698›Full record

ArticleAACE endocrinology and diabetes

Metastatic Invasive Ductal Carcinoma Presenting as Unilateral Adrenal Incidentaloma.

Ashni Dharia, Kurlya Yan, Saira Varghese Mammen, Madeline Myers, Janice Ahn, Gayatri Jaiswal

Abstract readCase Reports
In one paragraph

Article in AACE endocrinology and diabetes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ashni DhariaDepartment of Internal Medicine, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania.
Kurlya YanDepartment of Internal Medicine, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania.
Saira Varghese MammenDepartment of Endocrinology, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania.
Madeline MyersDepartment of Pathology, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania.
Janice AhnDepartment of Pathology, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania.
Gayatri JaiswalDepartment of Endocrinology, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Objective: The widespread use of cross-sectional imaging has led to increased detection of adrenal incidentalomas (AI), most of which are benign. However, a small fraction of AIs are malignant, with a significantly higher risk in patients with a history of cancer. Case Report: Sixty-nine-year-old woman with a remote history of invasive ductal breast carcinoma and thyroid carcinoma in remission presented with chronic abdominal pain. Imaging revealed 2 enlarging, right adrenal nodules with indeterminate features and no uptake on PET-CT. Hormonal tests indicated a nonfunctioning adrenal mass. Due to continued growth, she underwent laparoscopic adrenalectomy. Histopathology revealed metastatic breast carcinoma, and she subsequently initiated systemic chemotherapy. Discussion: This case highlights the diagnostic challenges posed by AIs in patients with known cancer and provides valuable insights into the detection and management of adrenal metastases. Conclusion: Timely surgical intervention allowed for definitive diagnosis and appropriate oncologic management, highlighting the importance of individualized evaluation and multidisciplinary decision-making in cases of AIs.

Indexed as

adrenal incidentalomalaparoscopic adrenalectomymetastatic ductal carcinoma

Identifiers

PMID41048698
PMCPMC12495563

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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.