Evidence map›Paper›PMID 27062702›Full record

ArticleCancer biomarkers : section A of Disease markers2016

Impact of plasma fibrinogen levels in benign and malignant soft tissue tumors.

Kunihiro Asanuma, Akihiko Matsumine, Tomoki Nakamura, Takao Matsubara, Yumiko Asanuma, Toru Oi, Mikinobu Goto, Kazuma Okuno, Takuya Kakimoto, Yuuki Yada and 1 more

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Fibrinogen and tumors.Frontiers in oncology · 2024
    Review
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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

11 authors.

Kunihiro Asanuma
Akihiko Matsumine
Tomoki Nakamura
Takao Matsubara
Yumiko Asanuma
Toru Oi
Mikinobu Goto
Kazuma Okuno
Takuya Kakimoto
Yuuki Yada
Akihiro Sudo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFibrinogen, a 340 kDa glycoprotein synthesized in the liver, is known to be involved in tumor angiogenesis, enlargement, and metastasis. Elevated plasma fibrinogen levels are associated with tumor progression in many cancer patients. However, there are no reports about differences in fibrinogen levels between benign and malignant soft tissue tumors.

objectivesThe purpose of this study was to clarify whether preoperative plasma fibrinogen levels can be used for differential diagnosis of benign or malignant soft tissue tumors.

methodsThe plasma fibrinogen levels from 102 primary soft tissue tumor patients were measured before biopsy or treatment. Fibrinogen levels were analyzed and compared to various clinical parameters.

resultsAccording to receiver operating characteristic (ROC) curve analysis, a threshold of serum fibrinogen of 315 mg/dL identified malignant patients with 60.9% sensitivity and 87.5% specificity. The diagnostic accuracy was evaluated by area under the curve (AUC: 0.805). Over 315 mg/dL of fibrinogen was associated with a significantly increased risk of malignancy by multiple logistic regression analysis (OR: 6.452, p= 0.0004).

conclusionsWe demonstrated that plasma fibrinogen levels have a relationship with tumor malignancy of soft tissue tumors. High fibrinogen levels can be a helpful subsidiary tool for the prediction of malignant soft tissue tumors with other diagnostic tools.

Indexed as

Cell ProliferationDiagnosis, DifferentialFemaleFibrinogenHumansMaleMiddle AgedROC CurveSarcomaSoft Tissue NeoplasmsFibrinogenFibrinogenlogistic analysismalignantreceiver operating characteristic (ROC)sarcomasoft tissue tumor

Identifiers

PMID27062702
PMCPMC13016501
OpenAlexW2295444208

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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.