ArticleFrontiers in pharmacology2018
Decision Tree for Early Detection of Cognitive Impairment by Community Pharmacists.
Article in Frontiers in pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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
17 citing papers in PubMed, 36 citations in OpenAlex.
- AI in Neurology: Everything, Everywhere, all at Once PART 2: Speech, Sentience, Scruples, and Service.Annals of neurology · 2025Review
- Developing a Patient Profile for the Detection of Cognitive Decline in Subjective Memory Complaint Patients: A Scoping Review and Cross-Sectional Study in Community Pharmacy.Healthcare (Basel, Switzerland) · 2025Article
- Predicting catheter removal in peritoneal dialysis peritonitis patients visiting the emergency department: a multivariable logistic regression and decision tree analysis.Updates in surgery · 2025Article
- Comparing machine learning classifier models in discriminating cognitively unimpaired older adults from three clinical cohorts in the Alzheimer's disease spectrum: demonstration analyses in the COMPASS-ND study.Frontiers in aging neuroscience · 2025Article
- Study protocol for identification of patients with risk of cognitive impairment in advanced pharmaceutical care in a community pharmacy.Frontiers in public health · 2025Article
- Identification of a Link between Suspected Metabolic Syndrome and Cognitive Impairment within Pharmaceutical Care in Adults over 75 Years of Age.Healthcare (Basel, Switzerland) · 2023Article
- The A-to-Z factors associated with cognitive impairment. Results of the DeCo study.Frontiers in psychology · 2023Article
- What is community pharmacists' level of comfort and interest in managing patients with or at risk of major neurocognitive disorders?Canadian pharmacists journal : CPJ = Revue des pharmaciens du Canada : RPC · 2022Article
- Addressing Psychosocial Factors in Cognitive Impairment Screening from a Holistic Perspective: The DeCo-Booklet Methodology Design and Pilot Study.International journal of environmental research and public health · 2022Article
- Lifestyle Variables Such as Daily Internet Use, as Promising Protective Factors against Cognitive Impairment in Patients with Subjective Memory Complaints. Preliminary Results.Journal of personalized medicine · 2021Article
- Pharmacists' Knowledge of Factors Associated with Dementia: The A-to-Z Dementia Knowledge List.International journal of environmental research and public health · 2021Article
- QSAR Models for Active Substances againstMolecules (Basel, Switzerland) · 2021Article
- Pharmacist-Physician Interprofessional Collaboration to Promote Early Detection of Cognitive Impairment: Increasing Diagnosis Rate.Frontiers in pharmacology · 2021Article
- A Random Forest Machine Learning Framework to Reduce Running Injuries in Young Triathletes.Sensors (Basel, Switzerland) · 2020Article
- Utility of MemTrax and Machine Learning Modeling in Classification of Mild Cognitive Impairment.Journal of Alzheimer's disease : JAD · 2020Article
- Importance of Increasing Modifiable Risk Factors Knowledge on Alzheimer's Disease Among Community Pharmacists and General Practitioners in Spain.Frontiers in pharmacology · 2019Article
- Episodic-Memory Performance in Machine Learning Modeling for Predicting Cognitive Health Status Classification.Journal of Alzheimer's disease : JAD · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.