Evidence map›Paper›PMID 40162154›Full record

ArticleOxford medical case reports2025

Renal mucinous cystadenoma in the context of lynch syndrome and colonic neuroendocrine neoplasm: a case report.

Ivy Wen, Lawrence H Kim, Matt Wong, Shannon di Lernia, Fiona Maclean, Allen Lee, Adrian Lee, Anu Ganapathy, David Chan

Abstract readCase Reports
In one paragraph

Article in Oxford medical case reports, 2025. 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

9 authors.

Ivy WenDepartment of Medical Oncology, Royal North Shore Hospital, Reserve Road, St Leonards, 2065, Sydney, New South Wales, Australia.ORCID https://orcid.org/0009-0004-6014-322X
Lawrence H KimDepartment of Urology, Westmead Hospital, Hawkesbury Road, Westmead, 2145, Sydney, New South Wales, Australia.
Matt WongUniversity of Newcastle, University Drive, Callaghan, 2308, New South Wales, Australia.
Shannon di LerniaDepartment of General Surgery, Gosford Private Hospital, Burrabil Avenue, Gosford, 2250, New South Wales, Australia.
Fiona MacleanAnatomical Pathology, Douglass Hanly Moir Pathology, Giffnock Avenue, Macquarie Park, 2113, Sydney New South Wales,  Australia.
Allen LeeDepartment of Nuclear Medicine, Royal North Shore Hospital, Reserve Road, St Leonards, 2065, Sydney, New South Wales, Australia.
Adrian LeeDepartment of Medical Oncology, Royal North Shore Hospital, Reserve Road, St Leonards, 2065, Sydney, New South Wales, Australia.
Anu GanapathyDepartment of Medical Oncology, Royal North Shore Hospital, Reserve Road, St Leonards, 2065, Sydney, New South Wales, Australia.
David ChanDepartment of Medical Oncology, Royal North Shore Hospital, Reserve Road, St Leonards, 2065, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal mucinous cystadenoma (RMC) is an exceptionally rare finding with a poorly understood pathogenesis. Links between RMC and other malignancies are not well described, nor are there known associations with familial cancer disorders. We present the first case of RMC associated with Lynch syndrome (LS) and neuroendocrine neoplasm. A 56-year-old woman presented with iron deficiency leading to a diagnosis of a colonic mixed neuroendocrine-non-neuroendocrine carcinoma. After initial surgery, she experienced local recurrences at 6 and 12 months, treated with resection and adjuvant chemotherapy. Tumours displayed deficient MMR proteins with

Indexed as

lynch syndromeMiNENneuroendocrine carcinomarenal mucinous cystadenoma

Identifiers

PMID40162154
PMCPMC11952886

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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.