Evidence map›Paper›PMID 42682694›Full record

ReviewClinical kidney journal2026

Trajectory analysis in clinical research.

Graziella D'Arrigo, Mercedes Gori, Nicholas C Chesnaye, Kitty J Jager, Friedo W Dekker, Merel van Diepen, Carmine Zoccali, Giovanni Tripepi

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Clinical kidney journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Graziella D'ArrigoCNR-IFC, Institute of Clinical Physiology of Reggio Calabria, Italy.ORCID https://orcid.org/0000-0003-1831-7340
Mercedes GoriCNR-IFC, Institute of Clinical Physiology of Rome, Italy.
Nicholas C ChesnayeERA Registry, Amsterdam UMC location and the University of Amsterdam, Department of Medical Informatics, Amsterdam, The Netherlands.
Kitty J JagerERA Registry, Amsterdam UMC location and the University of Amsterdam, Department of Medical Informatics, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-0444-8569
Friedo W DekkerDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Merel van DiepenDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Carmine ZoccaliRenal Research Institute, New York, NY, USA.ORCID https://orcid.org/0000-0002-6616-1996
Giovanni TripepiCNR-IFC, Institute of Clinical Physiology of Reggio Calabria, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trajectory analysis investigates patterns of change over time of variables across various fields, including clinical and public health research. This method is useful for understanding the evolution of behaviors, conditions, and biomarkers (such as serum creatinine, blood pressure, etc.) over time. In medicine, by examining trajectories, researchers can identify distinct clinical patterns and assess the impact of risk factors and interventions on these patterns. This paper explores some theoretical and practical aspects of trajectories analysis by focusing on group-based trajectory models (GBTM) and emphasizing the importance of this approach in clinical research by providing guidance on its implementation using STATA software.

Indexed as

longitudinal dataSTATAtrajectory analysis

Identifiers

PMID42682694
PMCPMC13529818

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.