Evidence map›Paper›PMID 36817045›Full record

ArticleOncology letters2023

Acquired hyperfibrinolysis as the presenting sign of metastatic breast cancer: A case report.

Guanyu Lu, Lin Jia, Ruohan Yang, Zheng Lv, Jiuwei Cui

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Oncology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 18% 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, 4 citations in OpenAlex.

  1. Article
  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

5 authors at 2 institutions in 1 country.

Guanyu LuCancer Center, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Lin JiaCancer Center, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Ruohan YangCancer Center, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Zheng LvCancer Center, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Jiuwei CuiCancer Center, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
First Hospital of Jilin University · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibrinolysis is a bleeding disorder characterized by hypofibrinogenemia caused by abnormal activation of fibrinolytic system function. Patients with cancer are prone to hypercoagulable and should be vigilant for the risk of venous thrombosis. However, patients with tumors in which bleeding is the first manifestation are relatively rare. The present study reports the case of a 52-year-old woman with metastatic breast cancer with acquired hyperfibrinolysis as the first manifestation. Hyperfibrinolysis is an important sign and manifestation of disease progression. In this case, fibrinogen was used as a sensitive biomarker of tumor burden to specifically predict the efficacy of the antitumor therapy. Effective antitumor therapy can improve the hyperfibrinolysis of patients, and so the fibrinogen levels gradually increased. In conclusion, the present case showed acquired hyperfibrinolysis with bleeding symptoms, which is an uncommon paraneoplastic phenomenon in breast cancer, especially when combined with bone marrow metastasis, as in the present case. Timely diagnosis and treatment of the primary disease is the fundamental way to improve hyperfibrinolysis. As an effective biomarker, fibrinogen level predicts the changes in a patient's illness and guides the clinical diagnosis and treatment process.

Indexed as

bone marrow metastasisbreast cancercoagulation disorderfibrinogenfibrinolysis

Identifiers

PMID36817045
PMCPMC9933151
OpenAlexW4319037898

What OpenQuestion holds

Textmetadata
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.