ArticleMolecular psychiatry2019
Can electronic health records revive central nervous system clinical trials?
Article in Molecular psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Clinical associations with treatment resistance in depression: An electronic health record study.Psychiatry research · 2024Article
- Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records.Psychiatric research and clinical practice · 2023Article
- Efficiently identifying individuals at high risk for treatment resistance in major depressive disorder using electronic health records.Journal of affective disorders · 2022Article
- Transdiagnostic and functional predictors of depression severity and trajectory in the Penn state psychiatry clinical assessment and rating evaluation system (PCARES) registry.Journal of affective disorders · 2022Article
- Predicting treatment dropout after antidepressant initiation.Translational psychiatry · 2020Article
- Personal Life Events-A Promising Dimension for Psychiatry in Electronic Health Records.JAMA psychiatry · 2020Article
- Dimensional clinical phenotyping usingAlzheimer's & dementia (Amsterdam, Netherlands)Article
- Distribution of agitation and related symptoms among hospitalized patients using a scalable natural language processing method.General hospital psychiatryArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
30429581What 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.