Evidence map›Paper›PMID 40729146›Full record

ArticleReports (MDPI)2024

Development and Validation of the Bone Tumor Surgery Complexity Score.

Annika Frei, Georg Schelling, Philip Heesen, Pietro Giovanoli, Bruno Fuchs, Swiss Sarcoma Network

Abstract read
In one paragraph

Article in Reports (MDPI), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Annika FreiTumorzentrum, Kantonsspital Winterthur, 8400 Winterthur, Switzerland.
Georg SchellingLUKS University Hospital, Orthopedic Oncology, Klinik für Orthopädie und Unfallchirurgie, Sarcoma Center, Faculty of Health Sciences and Medicine, University of Lucerne, 6000 Lucerne, Switzerland.
Philip HeesenMedizinische Fakultät, Universität Zürich, 8032 Zurich, Switzerland.ORCID 0000-0002-5090-4935
Pietro GiovanoliKlinik für Plastische Chirurgie und Handchirurgie, UniversitätsSpital Zürich, 8091 Zurich, Switzerland.
Bruno FuchsTumorzentrum, Kantonsspital Winterthur, 8400 Winterthur, Switzerland.ORCID 0000-0001-6453-3947
Swiss Sarcoma Network

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone tumors often manifest with non-specific symptoms such as pain and swelling, often posing diagnostic challenges. Optimal treatment requires centralized care in specialized centers, emphasizing the need for complete tumor removal and interdisciplinary collaboration. We developed the Bone Tumor Surgery Complexity Score (BT-SCS) based on a retrospective study of 501 patients. The BT-SCS, structured around patient demographics, tumor biology, and surgical parameters, categorizes surgical cases into four groups to comprehensively assess complexity. Application of the BT-SCS resulted in scores ranging from 3 to 33, with an average score of 14 ± 7.2. Patients with malignant tumors had higher scores (19.6 ± 5.2) compared to those with benign (10.0 ± 3.8) or intermediate malignant tumors (14.6 ± 7.1). Patients with pelvic tumors registered the highest scores (16.0), followed by extremities/trunk (14.3) and spinal tumors (13.6). The BT-SCS was validated against the Case Mix Index (CMI), using an independent cohort of bone and soft tissue cases. This validation process, utilizing Loess smoothing, illustrated the BT-SCS's granular differentiation of surgical complexity, particularly in the lower-to-mid-range of case severities. The BT-SCS represents a significant shift from volume-based to complexity-based assessments in surgical care, aligning with evolving healthcare paradigms. It serves as a tool for strategic patient allocation to treatment centers, aiming to improve outcomes and benchmarking in sarcoma care. The score's development and application in clinical practice align with the focus on patient-centered and value-based healthcare. Future enhancements, including machine learning integration and outcome data, will refine its categorization process, enhancing clinical utility.

Indexed as

benchmarkingbone sarcomabone tumorscomplexity scorequality indicatorsurgical planningvalidationvalue-based healthcare

Identifiers

PMID40729146
PMCPMC12225467

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.