Evidence map›Paper›PMID 34924728›Full record

ArticleJournal of orthopaedics

Estimating survival and choosing treatment for spinal metastases: Do spine surgeons agree with each other?

Quirina C B S Thio, Nuno Rui Paulino Pereira, Olivier van Wulfften Palthe, Daniel M Sciubba, Jos A M Bramer, Joseph H Schwab

Abstract read
In one paragraph

Article in Journal of orthopaedics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Predictive Modeling for Spinal Metastatic Disease.Diagnostics (Basel, Switzerland) · 2024
    Review
  2. Article
  3. 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

6 authors.

Quirina C B S ThioDepartment of Orthopaedic Surgery, Amsterdam University Medical Center Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, the Netherlands.
Nuno Rui Paulino PereiraDivision of Orthopaedic Oncology, Department of Orthopaedics Massachusetts General Hospital - Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
Olivier van Wulfften PaltheDivision of Orthopaedic Oncology, Department of Orthopaedics Massachusetts General Hospital - Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
Daniel M SciubbaDepartment of Neurosurgery, The Johns Hopkins Hospital - the John Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Jos A M BramerDepartment of Orthopaedic Surgery, Amsterdam University Medical Center Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, the Netherlands.
Joseph H SchwabDivision of Orthopaedic Oncology, Department of Orthopaedics Massachusetts General Hospital - Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to investigate spine surgeons' ability to estimate survival in patients with spinal metastases and whether survival estimates influence treatment recommendations.

methods60 Spine surgeons were asked a survival estimate and treatment recommendation in 12 cases. Intraclass correlation coefficients and descriptive statistics were used to evaluate variability, accuracy and association of survival estimates with treatment recommendation.

resultsThere was substantial variability in survival estimates amongst the spine surgeons. Survival was generally overestimated, and longer estimated survival seemed to lead to more invasive procedures.

conclusionsPrognostic models to estimate survival may aid surgeons treating patients with spinal metastases.

Indexed as

Bone metastasisSpineSurveySurvival estimation

Identifiers

PMID34924728
PMCPMC8665269

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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.