Evidence map›Paper›PMID 36612043›Full record

ArticleCancers2022

Quality of Sarcoma Care: Longitudinal Real-Time Assessment and Evidence Analytics of Quality Indicators.

Philip Heesen, Gabriela Studer, Beata Bode, Hubi Windegger, Benjamin Staeheli, Paul Aliu, Javier Martin-Broto, Alessandro Gronchi, Jean-Yves Blay, Axel Le Cesne and 1 more

Abstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

11 authors.

Philip HeesenMedical Faculty, University of Zurich, 8091 Zurich, Switzerland.ORCID 0000-0002-5090-4935
Gabriela StuderFaculty of Medicine, University of Lucerne, 6002 Lucerne, Switzerland.
Beata BodeMedical Faculty, University of Zurich, 8091 Zurich, Switzerland.
Hubi WindeggerSwiss Sarcoma Network, 6000 Luzern, Switzerland.
Benjamin StaeheliSwiss Sarcoma Network, 6000 Luzern, Switzerland.
Paul AliuSwiss Sarcoma Network, 6000 Luzern, Switzerland.ORCID 0000-0001-5254-856X
Javier Martin-BrotoMedical Oncology Department, University of Madrid, 28040 Madrid, Spain.ORCID 0000-0001-7350-6916
Alessandro GronchiDepartment of Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133 Milano, Italy.ORCID 0000-0002-4703-3534
Jean-Yves BlayDepartment of Medical Oncology, Centre Léon-Bérard Lyon, 69008 Lyon, France.ORCID 0000-0001-7190-120X
Axel Le CesneDepartment of Medical Oncology, Gustave Roussy Cancer Campus, 94805 Paris, France.
Bruno FuchsMedical Faculty, University of Zurich, 8091 Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcomas represent a large group of rare to very rare diseases, requiring complex management with a transdisciplinary approach. Overall progress has been hampered because of discipline, institution and network fragmentation, and there is no global data harmonization or quality standards. To report on and improve quality, a common definition of quality indicators (QIs) of sarcoma care as well as the capacity to assess longitudinal real-time data is required. An international advisory board of world-renowned sarcoma experts defined six categories of QIs, totaling more than 80 quality indicators. An interoperable (web-based) digital platform was then created combining the management of the weekly sarcoma board meeting with the sarcoma registry and incorporating patient-reported outcome measures (PROMs) into the routine follow-up care to assess the entire care cycle of the patient. The QIs were then programmed into the digital platform for real-time analysis and visualization. The definition of standardized QIs covering all physician- (diagnostics and therapeutics), patient- (PROMS/PREMS), and cost-based aspects in combination with their real-time assessment over the entire sarcoma care cycle can be realized. Standardized QIs as well as their real-time assessment and data visualization are critical to improving the quality of sarcoma care. By enabling predictive modelling and introducing VBHC, precision health care for a complex disease is on the horizon.

Indexed as

data annotationintegrated practice unitinteroperable digital platformquality indicatorsreal-time assessmentsarcomavalue-based health care

Identifiers

PMID36612043
PMCPMC9817921

What OpenQuestion holds

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LicenceCC BY
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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.