Evidence map›Paper›PMID 31066322›Full record

ReviewThe Journal of international medical research2019

Enormous primary renal diffuse large B-cell lymphoma: A case report and literature review.

Xu Cheng, Zhichao Huang, Daiqiang Li, Yinhuai Wang

Open access · goldAbstract readCase ReportsReview
In one paragraph

Review in The Journal of international medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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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 1 institution in 1 country.

Xu Cheng1 Department of Urology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhichao Huang1 Department of Urology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Daiqiang Li2 Department of Pathology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yinhuai Wang1 Department of Urology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID https://orcid.org/0000-0003-4731-0252
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrimary renal lymphoma is a rare malignant lymphoma that is difficult to differentiate from renal cell carcinoma. Positron emission tomography/computed tomography and image-guided percutaneous biopsy are valuable tools for diagnosis. CASE REPORT: A 64-year-old woman presented with a 2-year history of repeated right waist pain and a 1-month history of nausea, vomiting, and frequent and urgent urination. A computed tomography scan showed a huge mass that was initially considered to be renal cell carcinoma at the upper pole of the right kidney. The mass had invaded the renal pelvis, narrowed the right renal artery, and constricted the inferior vena cava and liver. Postoperative examination of the tumor confirmed lymphoma. We herein present this case and its multidisciplinary team management.

conclusionMultidisciplinary team management is efficient for preoperative assessment and surgery in difficult and high-risk cases. Based on our literature review, we suggest biopsy before chemotherapy whenever possible. Chemotherapy can be implemented after surgery for better survival outcomes.

Indexed as

Carcinoma, Renal CellCombined Modality TherapyFemaleHumansKidney NeoplasmsLymphoma, Large B-Cell, DiffuseMiddle AgedPrognosisRetrospective Studiescomputed tomographydiffuse large B-cell lymphomaKidneymultidisciplinary teamsprimaryrenal cell carcinoma

Identifiers

PMID31066322
PMCPMC6567734
OpenAlexW2944153013

What OpenQuestion holds

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LicenceCC BY-NC
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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.