Evidence map›Paper›PMID 41646222›Full record

ReviewESMO real world data and digital oncology2025

Benchmarking cancer outcomes in Europe: a scoping review of methodologies and case-mix adjustments.

J Thurell, L Doppelbauer, E M Verheul, I Petrov, M M Karsten, L B Koppert, J Bergh, I Fredriksson, P Lindgren, N Kiani and 1 more

Abstract readReview
In one paragraph

Review in ESMO real world data and digital oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

J ThurellDepartment of Oncology-Pathology, Karolinska Institutet, Solna, Sweden.
L DoppelbauerDepartment of Gynecology with Breast Center, Charité - Universitätsmedizin Berlin, Campus Virchow-Klinikum, Berlin, Germany.
E M VerheulDepartment of Public Health, Centre for Medical Decision Making, Erasmus University Medical Centre, Rotterdam, The Netherlands.
I PetrovDepartment of Microbiology, Tumor- and Cell Biology, Karolinska Institutet, Solna, Sweden.
M M KarstenDepartment of Gynecology with Breast Center, Charité - Universitätsmedizin Berlin, Campus Virchow-Klinikum, Berlin, Germany.
L B KoppertDepartment of Surgery, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
J BerghDepartment of Oncology-Pathology, Karolinska Institutet, Solna, Sweden.
I FredrikssonBreast Cancer Center, Department of Breast, Endocrine Tumours and Sarcoma, Karolinska Comprehensive Cancer Center, Karolinska University Hospital, Stockholm, Sweden.
P LindgrenDepartment of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden.
N KianiDepartment of Oncology-Pathology, Karolinska Institutet, Solna, Sweden.
E HedayatiDepartment of Oncology-Pathology, Karolinska Institutet, Solna, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Benchmarking hospital outcomes is crucial for identifying inequities and improving cancer care. Meaningful comparisons require selecting relevant outcomes and adjusting for case-mix factors such as age, comorbidity, and stage. Without case-mix adjustment, hospitals may be unfairly assessed based on patient mix rather than care quality. No prior review has examined benchmarking practices in European cancer care. This scoping review addresses: (i) Which health outcomes are frequently benchmarked? (ii) What case-mix factors are commonly used for adjustment? (iii) Which statistical approaches are utilized? (iv) How are case-mix models developed and evaluated? Materials and methods: We conducted a systematic scoping review searching OVID MEDLINE, Web of Science, and EMBASE. Eligible studies focused on benchmarking populations with a cancer diagnosis, involved European hospitals, and evaluated health outcomes like survival. Abstract screening and full-text appraisal were done independently by two authors. Data were extracted into a pre-specified matrix, and results synthesized by research question. Results: After screening 4953 abstracts, 65 studies were included. Key gaps include a lack of validated case-mix models, under-representation of long-term outcomes, and a tendency to 'over-adjust' by including treatment factors in case-mix models, potentially obscuring true differences in performance. Regression modeling remains the gold standard for adjustment. A consensus is needed on reporting and evaluating case-mix models, akin to TRIPOD guidelines. Conclusions: A shift toward standardized, validated benchmarking practices is essential to drive health care improvements. Only through rigorous methodologies, standardized reporting, and international collaboration can hospital benchmarking become a transformative tool for improving cancer care quality and patient outcomes.

Indexed as

benchmarkingEuropehealth careneoplasmsquality indicatorsrisk adjustmentsystematic review

Identifiers

PMID41646222
PMCPMC12836561

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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.