Evidence map›Paper›PMID 41552408›Full record

ArticleNeuro-oncology advances

Impact of proton vs. photon radiotherapy on overall survival in the management of spinal chondrosarcoma and mortality risk prediction: A nationwide analysis.

Abdul Karim Ghaith, Xinlan Yang, Taha Khalilullah, Anthony Davidson, Yuanxuan Xia, Tej Azad, Jawad M Khalifeh, A Karim Ahmed, Joshua Weinberg, Chase Foster and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Abdul Karim GhaithDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, Maryland (A.K.G., X.Y., T.K., A.D., Y.X., T.A., J.M.K., A.K.A., N.T., D.L.).ORCID https://orcid.org/0000-0002-9600-609X
Xinlan YangDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, Maryland (A.K.G., X.Y., T.K., A.D., Y.X., T.A., J.M.K., A.K.A., N.T., D.L.).
Taha KhalilullahDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, Maryland (A.K.G., X.Y., T.K., A.D., Y.X., T.A., J.M.K., A.K.A., N.T., D.L.).
Anthony DavidsonDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, Maryland (A.K.G., X.Y., T.K., A.D., Y.X., T.A., J.M.K., A.K.A., N.T., D.L.).
Yuanxuan XiaDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, Maryland (A.K.G., X.Y., T.K., A.D., Y.X., T.A., J.M.K., A.K.A., N.T., D.L.).ORCID https://orcid.org/0000-0001-6152-8392
Tej AzadDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, Maryland (A.K.G., X.Y., T.K., A.D., Y.X., T.A., J.M.K., A.K.A., N.T., D.L.).ORCID https://orcid.org/0000-0001-7823-4294
Jawad M KhalifehDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, Maryland (A.K.G., X.Y., T.K., A.D., Y.X., T.A., J.M.K., A.K.A., N.T., D.L.).ORCID https://orcid.org/0000-0002-5726-6884
A Karim AhmedDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, Maryland (A.K.G., X.Y., T.K., A.D., Y.X., T.A., J.M.K., A.K.A., N.T., D.L.).
Joshua WeinbergDepartment of Neurosurgery, School of Medicine, Ohio State University, Colombus, Ohio (J.W.).
Chase FosterDepartment of Neurosurgery, School of Medicine, George Washington, Washington, DC (C.F.).
Nicholas TheodoreDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, Maryland (A.K.G., X.Y., T.K., A.D., Y.X., T.A., J.M.K., A.K.A., N.T., D.L.).ORCID https://orcid.org/0000-0001-5355-2683
Kristin J RedmondDepartment of Radiation Oncology, School of Medicine, Johns Hopkins University, Baltimore, Maryland (K.J.R.).
Daniel LubelskiDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, Maryland (A.K.G., X.Y., T.K., A.D., Y.X., T.A., J.M.K., A.K.A., N.T., D.L.).ORCID https://orcid.org/0000-0002-9403-9509

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Spinal chondrosarcomas are rare, aggressive bone tumors with limited data on optimal radiotherapy strategies, particularly regarding the comparison between proton and photon therapies. This study aims to evaluate long-term survival outcomes and identify effective treatments and risk factors using the National Cancer Database. Methods: Patients diagnosed with spinal chondrosarcomas were categorized into radiation and no-radiation groups. The radiation group was subdivided into proton and photon therapy cohorts. Univariate and Kaplan-Meier analyses assessed demographic, clinical, and survival outcomes. Multivariate Cox proportional hazards models identified prognostic factors, and survival predictive models were evaluated using Area Under the Curve (AUC) metrics. Results: Of 1971 patients, 343 (17.4%) received radiation. Surgery was less common in the radiation group (53.9% vs 82.6%, Conclusion: Gross total resection (GTR) is the most effective treatment for spinal chondrosarcoma. High-dose radiation therapy (BED > 70 Gy) can be combined with surgery to improve survival in advanced cases. Proton therapy offers superior long-term survival compared to photons, and dose-escalated techniques (Stereotactic Radiosurgery [SRS] and Intensity-modulated radiation therapy [IMRT]) show potential in enhancing outcomes.

Indexed as

machine learningmortality predictionphoton ­radiotherapyproton radiotherapyspinal chondrosarcoma

Identifiers

PMID41552408
PMCPMC12812003

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.