Evidence map›Paper›PMID 25084809›Full record

SynthesisJournal of hematology & oncology2014

Tissue factor in tumor microenvironment: a systematic review.

Xiao Han, Bo Guo, Yongsheng Li, Bo Zhu

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Journal of hematology & oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

53 citing papers in PubMed, 85 citations in OpenAlex.

  1. Trial
  2. Hemostasis at the edge between physiology and cancer.Internal and emergency medicine · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. O-GlcNAcylation: Crosstalk between Hemostasis, Inflammation, and Cancer.International journal of molecular sciences · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Tissue factor: a neglected role in cancer biology.Journal of thrombosis and thrombolysis · 2022
    Review
  14. Review
  15. Effectiveness and Safety of the Traditional Chinese Medicine Treatment (Evidence-based complementary and alternative medicine : eCAM · 2022
    Review
  16. Small extracellular vesicles in cancer.Bioactive materials · 2021
    Review
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 2 countries.

Xiao Han
Bo Guo
Yongsheng Li
Bo Zhu
Army Medical University · CNXinqiao Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aberrant hemostasis is a common manifestation of cancer, and venous thromboembolism (VTE) is the second leading cause of cancer patients' mortality. Tissue factor (TF), comprising of a 47-kDa transmembrane protein that presents in subendothelial tissues and leukocytes and a soluble isoform, have distinct roles in the initiation of extrinsic coagulation cascade and thrombosis. Laboratory and clinical evidence showed the deviant expression of TF in several cancer systems and its tumor-promoting effects. TF contributes to myeloid cell recruitment in tumor stroma, thereby remodeling of tumor microenvironment. Additionally, the number of TF-positive-microparticles (TF+MP) from tumor origins correlates with the VTE rates in cancer patients. In this review, we summarize our current understanding of the TF regulation and roles in tumor progression and clinical complications.

Indexed as

AnimalsBlood CoagulationHemostasisHumansNeoplasmsThromboplastinTumor MicroenvironmentVenous ThromboembolismThromboplastin

Identifiers

PMID25084809
PMCPMC4237870
OpenAlexW2143936626

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.