Evidence map›Paper›PMID 38525086›Full record

ArticleRare tumors2024

Retroperitoneal mixed neuroendocrine non-neuroendocrine neoplasm: A case report and review of literature.

John Adi Ashindoitiang, Victor Ikechukwu Canice Nwagbara, Theophilus Ugbem Ipeh, Ben Chukwu, Henry Olaleye Obanife, Alfred Ottoh Eyong, Maurice Efana Asuquo

Abstract readCase Reports
In one paragraph

Article in Rare tumors, 2024. 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

7 authors.

John Adi AshindoitiangDepartment of Surgery, University of Calabar/University of Calabar Teaching Hospital, Calabar.ORCID https://orcid.org/0000-0003-0763-9707
Victor Ikechukwu Canice NwagbaraDepartment of Surgery, University of Calabar/University of Calabar Teaching Hospital, Calabar.
Theophilus Ugbem IpehDepartment of Pathology, University of Calabar/University of Calabar Teaching Hospital, Calabar.
Ben ChukwuDepartment of Surgery, University of Calabar Teaching Hospital, Calabar.
Henry Olaleye ObanifeDepartment of Surgery, University of Calabar/University of Calabar Teaching Hospital, Calabar.
Alfred Ottoh EyongDepartment of Surgery, University of Calabar Teaching Hospital, Calabar.ORCID https://orcid.org/0000-0001-6351-877X
Maurice Efana AsuquoDepartment of Surgery, University of Calabar/University of Calabar Teaching Hospital, Calabar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The existence of both neuroendocrine and non-neuroendocrine histology in variable proportion in a lesion has been described by the World Health Organisation (WHO) as mixed neuroendocrine and non-neuroendocrine neoplasm (MiNEN). The pathogenesis of this tumour remains controversial but molecular studies point towards a common monoclonal origin. Tumours are classified as functioning and nonfunctioning based on substances secreted. The nonfunctioning tumours may be discovered due to its local effect. Presented is a 66-year-old male with an intra-abdominal mass, underwent laparotomy and excision biopsy with transient right lower limb lymphoedema. Histology confirmed retroperitoneal MiNEN with no evidence of tumour recurrence 12 months following surgery. MiNENs should be considered as a differential diagnosis in patients with intra-abdominal mass. Surgical resection is recommended as this may offer the best treatment option.

Indexed as

mixed adenoneuroendocrine carcinomamixed neuroendocrine non-neuroendocrine neoplasmretroperitoneumWHO classifications

Identifiers

PMID38525086
PMCPMC10958797

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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.