ArticleDevelopmental medicine and child neurology2026
The cerebral palsy directed acyclic graph: A structural causal model of aetiology.
Article in Developmental medicine and child neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
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Who cites it
2 citing papers in PubMed.
- The cerebral palsy directed acyclic graph: A structural causal model of aetiology.Developmental medicine and child neurology · 2026Article
- The Panorama of Cerebral Palsy in Sweden Part XIV Shows Further Decrease in Prevalence and Severity in the Birth-Years 2015-2018.Acta paediatrica (Oslo, Norway : 1992) · 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo describe the development of the initial version of the cerebral palsy (CP) directed acyclic graph (DAG). DAGs are visual representations of causal assumptions and powerful tools for representing and communicating complex causation.
methodAn international working group of clinicians, researchers, and individuals with lived experience developed the CP-DAG, using methods adapted from the US National Aeronautics and Space Administration's risk modelling approach. The team developed a network of nodes and causal links spanning prenatal, perinatal, neonatal, and postneonatal pathways, along with a node dictionary ('DAGtionary'). Iterative drafts were created with feedback incorporated from presentations at international meetings and workshops.
resultsAs of August 2025, the CP-DAG includes 106 nodes and 378 links, yielding a network density of 6.8%. It spans known and hypothesized causal pathways across biological, clinical, and social domains. The accompanying DAGtionary contains concise definitions and references for each node, totalling 210 citations.
interpretationThe CP-DAG provides a visual, evidence-linked representation of causal reasoning in CP. It offers a foundation for identifying knowledge gaps, directing future research to under-researched areas, and, eventually, for probabilistic modelling. This initial version is intended as a starting point. We call on the global CP disability community to contribute to its ongoing refinement.
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What OpenQuestion holds
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.