Evidence map›Paper›PMID 30754703›Full record

ReviewMedical sciences (Basel, Switzerland)2019

Identification of Prognostic and Predictive Osteosarcoma Biomarkers.

Radoslav Zamborsky, Milan Kokavec, Stefan Harsanyi, Lubos Danisovic

Abstract readReview
In one paragraph

Review in Medical sciences (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
–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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  8. Review
  9. Whole-Exome Analysis and Osteosarcoma: A Game Still Open.International journal of molecular sciences · 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

4 authors.

Radoslav ZamborskyDepartment of Orthopedics, Faculty of Medicine, Comenius University, Limbova 1, 833 40 Bratislava, Slovakia. radozamborsky@gmail.com.
Milan KokavecDepartment of Orthopedics, Faculty of Medicine, Comenius University, Limbova 1, 833 40 Bratislava, Slovakia. kokavecm@hotmail.com.
Stefan HarsanyiInstitute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, Sasinkova 4, 811 08 Bratislava, Slovakia. stefan.harsanyi@fmed.uniba.sk.
Lubos DanisovicInstitute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, Sasinkova 4, 811 08 Bratislava, Slovakia. lubos.danisovic@fmed.uniba.sk.

Funding

Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR 071UK-4/2016
6 · The paper itself

Abstract

Both adolescents and children suffer from osteosarcoma, localized in the metaphysis of the long bones. This is the most common primary high-grade bone tumor in this patient group. Early tumor detection is the key to ensuring effective treatment. Improved osteosarcoma outcomes in clinical trials have been contingent on biomarker discovery and an evolving understanding of molecules and their complex interactions. In this review, we present a short overview of biomarkers for osteosarcoma, and highlight advances in osteosarcoma-related biomarker research. Many studies show that several biomarkers undergo critical changes with osteosarcoma progression. Growing knowledge about osteosarcoma-related markers is expected to positively impact the development of therapeutics for osteosarcoma, and ultimately of clinical care. It has also become important to develop new biomarkers, which can identify vulnerable patients who should be treated with more intensive and aggressive therapy after diagnosis.

Indexed as

biomarkerschemotherapymalignant bone tumorsosteosarcomatreatment

Identifiers

PMID30754703
PMCPMC6410182

What OpenQuestion holds

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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.