Evidence map›Paper›PMID 32582538›Full record

ReviewFrontiers in oncology2020

Current and Emerging Biomarkers Predicting Bone Metastasis Development.

Michele Iuliani, Sonia Simonetti, Giulia Ribelli, Andrea Napolitano, Francesco Pantano, Bruno Vincenzi, Giuseppe Tonini, Daniele Santini

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Review
  2. Observational
  3. Review
  4. Observational
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. 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

8 authors.

Michele IulianiMedical Oncology, Bio-Medico University of Rome, Rome, Italy.
Sonia SimonettiMedical Oncology, Bio-Medico University of Rome, Rome, Italy.
Giulia RibelliMedical Oncology, Bio-Medico University of Rome, Rome, Italy.
Andrea NapolitanoMedical Oncology, Bio-Medico University of Rome, Rome, Italy.
Francesco PantanoMedical Oncology, Bio-Medico University of Rome, Rome, Italy.
Bruno VincenziMedical Oncology, Bio-Medico University of Rome, Rome, Italy.
Giuseppe ToniniMedical Oncology, Bio-Medico University of Rome, Rome, Italy.
Daniele SantiniMedical Oncology, Bio-Medico University of Rome, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone is one of the preferential sites of distant metastases from malignant tumors, with the highest prevalence observed in breast and prostate cancers. Patients with bone metastases (BMs) may experience skeletal-related events, such as severe bone pain, pathological fractures, spinal cord compression, and hypercalcemia, with negative effects on the quality of life. In the last decades, a deeper understanding of the molecular mechanisms underlying the BM onset has been gained, leading to the development of bone-targeting agents. So far, most of the research has been focused on the pathophysiology and treatment of BM, with only relatively few studies investigating potential predictors of risk for BM development. The ability to select such "high-risk" patients could allow early identification of those most likely to benefit from interventions to prevent or delay BM. This review summarizes several evidences for the potential use of specific biomarkers able to predict early the BM development.

Indexed as

bone metastasesbone turnover markersCTCsctDNADTCsmiRNAs

Identifiers

PMID32582538
PMCPMC7283490

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.