Evidence map›Paper›PMID 28929002›Full record

ArticleCase reports in oncological medicine2017

Spontaneous Tumor Lysis Syndrome in a Patient with a Dedifferentiated Endometrial Adenocarcinoma.

Shinichi Harada, Keiki Nagaharu, Youichirou Baba, Tetsuya Murata, Toshiro Mizuno, Keiki Kawakami

Open access · goldAbstract readCase Reports
In one paragraph

Article in Case reports in oncological medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

6 authors at 1 institution in 1 country.

Shinichi HaradaDepartment of Hematology and Oncology, Suzuka General Hospital, Yamanohana 1275-53, Suzuka, Mie Prefecture 513-8630, Japan.
Keiki NagaharuDepartment of Hematology and Oncology, Suzuka General Hospital, Yamanohana 1275-53, Suzuka, Mie Prefecture 513-8630, Japan.ORCID 0000-0002-6139-4256
Youichirou BabaDepartment of Pathology, Suzuka General Hospital, Yamanohana 1275-53, Suzuka, Mie Prefecture 513-8630, Japan.
Tetsuya MurataDepartment of Pathology, Suzuka General Hospital, Yamanohana 1275-53, Suzuka, Mie Prefecture 513-8630, Japan.
Toshiro MizunoDepartment of Hematology and Oncology, Mie University Hospital, Edobashi 2-174, Tsu, Mie Prefecture 514-0001, Japan.
Keiki KawakamiDepartment of Hematology and Oncology, Suzuka General Hospital, Yamanohana 1275-53, Suzuka, Mie Prefecture 513-8630, Japan.ORCID 0000-0001-9729-8162
Mie University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor lysis syndrome (TLS) is an oncological emergency caused by massive cytolysis of malignant cells. This syndrome eventually induces metabolic abnormalities. TLS is observed mainly among tumors with rapid cell proliferation or high sensitivity to antineoplastic treatment. In rare cases, TLS occurs without any cytotoxic treatment. Previous reports have shown that alternative stress including proceeding infection or an operation might play a role in TLS. However, exact mechanism of spontaneous TLS remains unknown. Here, we describe a case of a 59-year-old woman who presented with dedifferentiated endometrial adenocarcinoma and developed TLS without any cytotoxic chemotherapy. Although spontaneous TLS in solid malignancies are extremely rare, clinicians should consider the possibilities of TLS especially in aggressive solid tumors.

Identifiers

PMID28929002
PMCPMC5591980
OpenAlexW2750388423

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.