ReviewCancers2026
Risk Factors for Catastrophic Health Events in Head and Neck Cancer: A Scoping Review to Inform Risk Prediction.
Review in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
BACKGROUND/
objectivesHead and neck cancer (HNC) is associated with unique risks of catastrophic health events throughout the care continuum. This scoping review evaluated distinct domains of catastrophic health events in HNC and the associated risk factors to inform the development of risk prediction models.
methodsFive electronic databases were searched to identify peer-reviewed journal articles published from 2015 to 2025. Eligible studies were primary observational studies involving adults (≥18) with HNC that reported a catastrophic (or similar term) health event and assessed the associated risk factors using multivariable regression modelling.
resultsFifty-six studies involving 941,329 patients with HNC were included. Half (
conclusionsRisk prediction models in HNC should always include variables of comorbidity. The varied measurability of risk factors requires strategic efforts when developing prediction algorithms for different domains of catastrophic health events.
Indexed as
Identifiers
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.