Evidence map›Paper›PMID 34676153›Full record

ArticleJournal of kidney cancer and VHL2021

Exceptional Renal Metastasis from Adenoid Cystic Carcinoma of the Nasal Cavity and Literature Review.

Jihene Feki, Maissa Lajnef, Manel Mallouli, Kheireddine Ben Mahfoudh, Tahia Boudawara, Afef Khanfir

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Journal of kidney cancer and VHL, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  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

6 authors at 2 institutions in 1 country.

Jihene FekiDepartment of Medical Oncology, Habib Bourguiba Hospital, University of Sfax, Sfax, Tunisia.
Maissa LajnefDepartment of Medical Oncology, Habib Bourguiba Hospital, University of Sfax, Sfax, Tunisia.
Manel MallouliDepartment of Pathology, Habib Bourguiba Hospital, University of Sfax, Sfax, Tunisia.
Kheireddine Ben MahfoudhDepartment of Radiology, Habib Bourguiba Hospital, University of Sfax, Sfax, Tunisia.
Tahia BoudawaraDepartment of Pathology, Habib Bourguiba Hospital, University of Sfax, Sfax, Tunisia.
Afef KhanfirDepartment of Medical Oncology, Habib Bourguiba Hospital, University of Sfax, Sfax, Tunisia.
Hopital Universitaire Habib Bourguiba · TNUniversity of Sfax · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adenoid cystic carcinoma (ACC) is a rare malignant cancer that arises from secretory glands. Slow growth, perineural invasion, and late recurrences are the main characteristics of ACC. Only few cases of kidney metastases from ACC have been reported in the literature. We report here the case of a 66-year-old female patient who presented with bilateral renal metastases from ACC of the nasal cavity, detected 14 years after treatment of primary tumor and 6 years after metastasectomy of lung metastases. Histological examination confirmed diagnosis and the patient was treated with systemic chemotherapy. Radiological evaluation showed stability of the disease. However, a progression with occurrence of metastases in other sites (lung and bones) has been observed after 7 months. She is still receiving second-line chemotherapy. To the best of our knowledge, this is the second case of kidney metastases from ACC of the nasal cavity.

Indexed as

adenoid cysticcarcinomakidneynasal cavityrenal metastases

Identifiers

PMID34676153
PMCPMC8476345
OpenAlexW3201507391

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.