Evidence map›Paper›PMID 35877233›Full record

ReviewCurrent oncology (Toronto, Ont.)2022

The Prediction of Survival after Surgical Management of Bone Metastases of the Extremities-A Comparison of Prognostic Models.

Ofir Ben Gal, Terrence Chi Fang Soh, Sarah Vaughan, Viswanath Jayasanker, Ashish Mahendra, Sanjay Gupta

Open access · goldAbstract readReview
In one paragraph

Review in Current oncology (Toronto, Ont.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Treatment of Bone Metastasis.Current oncology (Toronto, Ont.) · 2022
    Article
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 at 2 institutions in 1 country.

Ofir Ben GalDepartment of Musculoskeletal Oncology, Glasgow Royal Infirmary, 84 Castle Street, Glasgow G4 0SF, UK.
Terrence Chi Fang SohUniversity Hospital Hairmyres, 218 Eaglesham Rd, East Kilbride, Glasgow G75 8RG, UK.
Sarah VaughanDepartment of Musculoskeletal Oncology, Glasgow Royal Infirmary, 84 Castle Street, Glasgow G4 0SF, UK.
Viswanath JayasankerDepartment of Musculoskeletal Oncology, Glasgow Royal Infirmary, 84 Castle Street, Glasgow G4 0SF, UK.
Ashish MahendraDepartment of Musculoskeletal Oncology, Glasgow Royal Infirmary, 84 Castle Street, Glasgow G4 0SF, UK.
Sanjay GuptaDepartment of Musculoskeletal Oncology, Glasgow Royal Infirmary, 84 Castle Street, Glasgow G4 0SF, UK.
Glasgow Royal Infirmary · GBHairmyres Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individualized survival prognostic models for symptomatic patients with appendicular metastatic bone disease are key to guiding clinical decision-making for the orthopedic surgeon. Several prognostic models have been developed in recent years; however, most orthopedic surgeons have not incorporated these models into routine practice. This is possibly due to uncertainty concerning their accuracy and the lack of comparison publications and recommendations. Our aim was to conduct a review and quality assessment of these models. A computerized literature search in MEDLINE, EMBASE and PubMed up to February 2022 was done, using keywords: "Bone metastasis", "survival", "extremity" and "prognosis". We evaluated each model's performance, assessing the estimated discriminative power and calibration accuracy for the analyzed patients. We included 11 studies out of the 1779 citations initially retrieved. The 11 studies included seven different models for estimating survival. Among externally validated survival prediction scores, PATHFx 3.0, 2013-SPRING and potentially Optimodel were found to be the best models in terms of performance. Currently, it is still a challenge to recommend any of the models as the standard for predicting survival for these patients. However, some models show better performance status and other quality characteristics. We recommend future, large, multicenter, prospective studies to compare between PATHfx 3.0, SPRING 2013 and OptiModel using the same external validation dataset.

Indexed as

Bone NeoplasmsExtremitiesHumansMulticenter Studies as TopicNomogramsPrognosisProspective Studiesbone metastasesextremitylong bone metastasesprognosisprognostic scoresurgerysurvival

Identifiers

PMID35877233
PMCPMC9320475
OpenAlexW4283831089

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.