Evidence map›Paper›PMID 35509775›Full record

ArticleIJU case reports2022

Intravascular large B-cell lymphoma in renal cell carcinoma incidentally detected by robot-assisted partial nephrectomy.

Michio Noda, Yutaka Enomoto, Yukari Shirasugi, Sumiyo Ando, Yukimasa Matsuzawa, Haruki Kume

Open access · goldAbstract readCase Reports
In one paragraph

Article in IJU case reports, 2022. 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
0.4field-weighted citation impact, top 40% 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, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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.

Michio NodaDepartment of Urology Mitsui Memorial Hospital Tokyo Japan.ORCID https://orcid.org/0000-0002-7515-7358
Yutaka EnomotoDepartment of Urology Mitsui Memorial Hospital Tokyo Japan.ORCID https://orcid.org/0000-0002-6831-4896
Yukari ShirasugiDepartment of Hematology Mitsui Memorial Hospital Tokyo Japan.
Sumiyo AndoDepartment of Pathology Mitsui Memorial Hospital Tokyo Japan.
Yukimasa MatsuzawaDepartment of Urology Graduate School of Medicine The University of Tokyo Tokyo Japan.
Haruki KumeDepartment of Urology Graduate School of Medicine The University of Tokyo Tokyo Japan.ORCID https://orcid.org/0000-0001-9841-0857
Mitsui Memorial Hospital · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Intravascular large B-cell lymphoma is a rare and aggressive type of extranodal large B-cell lymphoma. Although intravascular large B-cell lymphoma can invade various organs, renal involvement has been rarely reported. Synchronous occurrence of intravascular lymphoma with renal cell carcinoma is extremely rare. We herein report a case of intravascular large B-cell lymphoma in a renal cell carcinoma incidentally detected by robot-assisted partial nephrectomy. Case presentation: A 69-year-old female with recurrent fever lasting 4 years underwent robot-assisted partial nephrectomy for small renal cell carcinoma. Histological findings led to the diagnosis of intravascular large B-cell lymphoma, which involved the normal tissue of right kidney as well as clear cell renal cell carcinoma. She received six cycles of chemotherapy without major complications and achieved complete remission. Conclusion: We encountered a rare case of synchronous intravascular lymphoma with renal cell carcinoma.

Indexed as

intravascular large B‐cell lymphomarenal cell carcinomarobot‐assisted partial nephrectomy

Identifiers

PMID35509775
PMCPMC9057744
OpenAlexW4220841581

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.