Evidence map›Paper›PMID 40667646›Full record

SynthesisCancer medicine2025

Prognostic Factors in Newly Diagnosed High-Grade Osteosarcoma-A Systematic Review.

Elisa Tirtei, Sascha Wilk Michelsen, Lianne M Haveman, Cristina Meazza, Joana F Oliveira, Ayesha Rasool, Emanuela Palmerini, Will Wilson, Nathalie Gaspar, Sandra J Strauss and 3 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
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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

13 authors.

Elisa TirteiDepartment of Pediatric Oncology, Regina Margherita Children's Hospital, Turin, Italy.ORCID https://orcid.org/0000-0003-4144-5957
Sascha Wilk MichelsenDepartment of Pediatric and Adolescence Medicine, Clinic for Pediatric Oncology and Hematology, University Hospital Rigshospitalet, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-6499-8581
Lianne M HavemanPrincess Maxima Center for Pediatric Oncology, Utrecht, the Netherlands.ORCID https://orcid.org/0000-0001-8519-8906
Cristina MeazzaPediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.ORCID https://orcid.org/0000-0002-1875-9563
Joana F OliveiraPediatric Department, Portuguese Institute of Oncology of Lisbon, Lisbon, Portugal.
Ayesha RasoolUCL Cancer Institute, London, UK.
Emanuela PalmeriniOsteoncology, Bone and Soft Tissue Tumors and Innovative Therapies, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.ORCID https://orcid.org/0000-0003-3406-6705
Will WilsonCancer Research UK and UCL Cancer Trials Centre, London, UK.ORCID https://orcid.org/0009-0004-5576-0135
Nathalie GasparDepartment of Oncology for Child and Adolescent, Gustave Roussy Cancer Campus, Villejuif, France.ORCID https://orcid.org/0000-0002-1827-8903
Sandra J StraussDepartment of Oncology, UCL Cancer Institute, London, UK.ORCID https://orcid.org/0000-0001-8328-0260
Andri PapakonstantinouDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-4232-4658
Fredrik BaecklundPediatric Oncology, Karolinska University Hospital, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-1333-2912
FOSTER Consortium (Fight OsteoSarcoma Through European Research), work package 4 on trials in newly diagnosed osteosarcoma

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPretreatment prognostic factors in newly diagnosed osteosarcoma are important for clinical management and stratifying patients in clinical trials. Such factors include the presence of metastases, primary tumor size, and site. Factors surrounded by controversy include pathological fracture, histologic subtype, and P-glycoprotein expression. No prognostic tumor biomarker has been established. We performed a systematic review with the aim to compile available evidence for pretreatment prognostic factors and define optimal cut-off values for patient stratification or further validation in the upcoming European FOSTER-CabOS trial.

methodsPredefined search terms were used to search PubMed, Web-of-science, and Embase for all studies investigating pretreatment prognostic factors in newly diagnosed osteosarcoma patients published 2000-2023. After applying strict inclusion and exclusion criteria, 49 papers were included.

resultsWe found 14 factors investigated in at least two separate studies or in a single study using one discovery and at least one validation cohort.

conclusionsWe confirmed the prognostic value of patient age, presence of metastasis, tumor size, and site (axial vs. appendicular). Future studies of these factors should focus on specific patient populations and defining optimal cut-off values. Although serum level of alkaline phosphatase and lactate dehydrogenase were associated with outcome, it remains unclear if they are independent of other prognostic factors. The prognostic value remains unclear for sex, pathological fracture, histologic subtype, and P-glycoprotein expression. We could not establish any new prognostic biomarker. However, circulating tumor DNA in plasma and the G1/G2 RNA signature in diagnostic tumor biopsies show promise and will be further validated in the upcoming FOSTER-CabOS trial.

Indexed as

Bone NeoplasmsOsteosarcomaBiomarkers, TumorHumansNeoplasm GradingPrognosisBiomarkers, Tumornewly diagnosedosteosarcomapretreatmentprognostic factorssystematic review

Identifiers

PMID40667646
PMCPMC12264579

What OpenQuestion holds

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Registered trials

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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.