Evidence map›Paper›PMID 39996155›Full record

ArticleClinical epidemiology2025

The Danish Lymphoid Cancer Research (DALY-CARE) Data Resource: The Basis for Developing Data-Driven Hematology.

Christian Brieghel, Mikkel Werling, Casper Møller Frederiksen, Mehdi Parviz, Thomas Lacoppidan, Tereza Faitova, Rebecca Svanberg Teglgaard, Noomi Vainer, Caspar da Cunha-Bang, Emelie Curovic Rotbain and 2 more

Abstract read
In one paragraph

Article in Clinical epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

12 authors.

Christian Brieghel *Department of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0002-1816-8106
Mikkel Werling *Department of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
Casper Møller FrederiksenDepartment of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
Mehdi ParvizDepartment of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
Thomas LacoppidanDepartment of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0002-6705-3153
Tereza FaitovaDepartment of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0003-2729-0354
Rebecca Svanberg TeglgaardDepartment of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0001-7779-8397
Noomi VainerDepartment of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
Caspar da Cunha-BangDepartment of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
Emelie Curovic RotbainDepartment of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0002-4199-772X
Rudi AgiusDepartment of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
Carsten Utoft NiemannDepartment of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0001-9880-5242

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lymphoid-lineage cancers (LC; International Classification of Diseases, 10 Aim: Creating a large-scale data repository for patients with LC to develop data-driven hematology. Methods: We gathered electronic health data and created open-source processing pipelines to create a comprehensive data resource for Danish LC Research (DALY-CARE) approved for epidemiological, molecular, and data-driven research. Results: We included all Danish adults registered with LC diagnoses since 2002 (n=65,774) and combined 10 nationwide registers, electronic health records (EHR), and laboratory data on a high-powered cloud-computer to develop a secure research environment. Among other, data include treatments (ie 21,750 cytoreductive treatment plans, 21.3M outpatient prescriptions, and 12.7M in-hospital administrations), biochemical analyses (77.3M), comorbidity (14.8M ICD10 codes), pathology codes (4.5M), treatment procedures (8.3M), surgical procedures (1.0M), radiological examinations (3.3M), vital signs (18.3M values), and survival data. We herein describe the data infrastructure and exemplify how DALY-CARE has been used for molecular studies, real-world evidence to evaluate the efficacy of care, and mAI deployed directly into EHR systems. Conclusion: The DALY-CARE data resource allows for the development of near real-time decision-support tools and extrapolation of clinical trial results to clinical practice, thereby improving care for patients with LC while facilitating streamlining of health data infrastructure across cohorts and medical specialties.

Indexed as

chronic lymphocytic leukemiadata-driven medicinelarge-scale databaselymphomamachine learningmultiple myeloma

Identifiers

PMID39996155
PMCPMC11849980

What OpenQuestion holds

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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.