Analysis of temporal survival trends: considerations and best practice

Monitoring quality of healthcare is vital to ensure that changes made to clinical practice achieve the intended goals. Assessing temporal trends due to the accumulated effect of all changes in clinical practice in a given period is essential in quality monitoring. However, this assesment is compplicated by the fact that numerous of changes might occour over time unrelated to the clinical practice. Furthermore, the methods used to assess temporal trends in patient outcomes in the medical literature are heterogeneous, making it difficult to compare results between studies. In this paper, we describe methods that enable researchers to investigate temporal trends in survival data and we discuss their pros and cons. Numerous unrelated changes may occur over time which must be taken into account and disentangled when assessing the improvement in clinical management. The methods and interpretation thereof are exemplified on patients with diffuse large B-cell lymphoma from the Danish lymphoma registry.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2025-02-22
DOI
https://doi.org/10.1186/s12874-025-02505-5
Citations
1
Primary Topic
Lymphoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.47

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Analysis of temporal survival trends: considerations and best practice

Jan Brink Valentin, Lasse Hjort Jakobsen, Lars Klingen Gjærde, Tarec Christoffer El‐Galaly et al.
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BMC Medical Research Methodology
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article

Analysis of temporal survival trends: considerations and best practice

Jan Brink Valentin, Lasse Hjort Jakobsen, Lars Klingen Gjærde, Tarec Christoffer El‐Galaly, Mikkel Runason Simonsen, Rasmus Waagepetersen, Lars Børty Nielsen
article en
1 citations

Abstract

Monitoring quality of healthcare is vital to ensure that changes made to clinical practice achieve the intended goals. Assessing temporal trends due to the accumulated effect of all changes in clinical practice in a given period is essential in quality monitoring. However, this assesment is compplicated by the fact that numerous of changes might occour over time unrelated to the clinical practice. Furthermore, the methods used to assess temporal trends in patient outcomes in the medical literature are heterogeneous, making it difficult to compare results between studies. In this paper, we describe methods that enable researchers to investigate temporal trends in survival data and we discuss their pros and cons. Numerous unrelated changes may occur over time which must be taken into account and disentangled when assessing the improvement in clinical management. The methods and interpretation thereof are exemplified on patients with diffuse large B-cell lymphoma from the Danish lymphoma registry.

BMC Medical Research MethodologyVol. 25(1)
Aalborg University Hospital (DK), Odense University Hospital (DK), Copenhagen University Hospital (DK), Rigshospitalet (DK), Karolinska Institutet (SE), Aalborg University (DK)
Kræftens Bekæmpelse, Villum Fonden, Novo Nordisk, Novo Nordisk Fonden
Openalex Percentile: Top 23%
Lymphoma Diagnosis and Treatment
1.47
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