Evidence map›Paper›PMID 28360450›Full record

ArticleIranian journal of medical sciences2017

Renal Medullary Carcinoma; A Rare Entity.

Selahattin Çalışkan, Ali Murat Gökçe, Gülistan Gümrükçü, Mine Önenerk

Open access · greenAbstract readCase Reports
In one paragraph

Article in Iranian journal of medical sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

4 authors at 2 institutions in 1 country.

Selahattin ÇalışkanDepartment of Urology, Çorum Training and Research Hospital, Hitit University, Çorum, Turkey.
Ali Murat GökçeDepartment of Surgery, Haydarpaşa Numune Training and Research Hospital, İstanbul, Turkey.
Gülistan GümrükçüDepartment of Pathology, Haydarpaşa Numune Training and Research Hospital, İstanbul, Turkey.
Mine ÖnenerkDepartment of Pathology, Haydarpaşa Numune Training and Research Hospital, İstanbul, Turkey.
Haydarpaşa Numune Eğitim ve Araştırma Hastanesi · TRHitit Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal medullary carcinoma (RMC) is an uncommon aggressive neoplasm of the kidney. RMC is biologically aggressive with a very poor prognosis, and metastasis is seen in up to 95% of the patients at diagnosis or shortly thereafter. The common sites of metastasis are respectively lymph nodes, lungs, livers, and adrenal glands in order of frequency. The presence of poorly differentiated eosinophilic cells in a characteristic fibro-inflammatory stroma is seen in histological examination. The origin and pathogenesis of RMC are unclear. The radiographical and pathological findings suggest that RMC probably originates in the calyceal epithelium in or near the renal papillae, which could be the result of chronic ischemic damage in the renal papillae epithelium by sickled erythrocytes. Positivity of VEGF and HIF-1α supports the chronic hypoxia that may be caused in the pathogenesis of RMC. Other factors such as genetic or environmental factors are important. Although hemoglobinopathy is very common, RMC is very rare. An understanding of the molecular and genetic factors of this rare disease is important for its prevention and treatment. We herein describe an adult Turkish patient, who presented with hematuria. The diagnosis was RMC after pathological examination.

Indexed as

Case reportsKidney neoplasmsMedullary carcinoma

Identifiers

PMID28360450
PMCPMC5366372
OpenAlexW2587776897

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.