ArticleBMC medical research methodology2025
Analysis of temporal survival trends: considerations and best practice.
Article in BMC medical research methodology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Return-to-play timing and secondary anterior cruciate ligament injury risk in elite soccer players: A transfermarkt-based longitudinal analysis.Journal of experimental orthopaedics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
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.
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Registered trials
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.