ReviewCurrent hypertension reports2017
The Use of Electronic Health Records to Identify Children with Elevated Blood Pressure and Hypertension.
Review in Current hypertension reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Review
- Clinical Decision Support for the Diagnosis and Management of Adult and Pediatric Hypertension.Current hypertension reports · 2020Review
- Identifying elevated blood pressure and hypertension in children and adolescents.Journal of clinical hypertension (Greenwich, Conn.) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Elevated blood pressures often go unrecognized in pediatric patients, potentially putting children and adolescents at risk for the sequelae of untreated hypertension. This may be partially due to the complexity involved in diagnosing elevated pediatric blood pressures, which demands a high cognitive workload from providers. Tools built into electronic health records have the potential to alleviate this workload, and studies investigating these tools confirm they show promise in improving elevated blood pressure recognition. However, the current tools are not perfect, and determining the optimal design and implementation of future iterations requires further study. The proper integration of patient-generated blood pressure readings, such as those obtained during ambulatory blood pressure monitors, also requires careful consideration.
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Identifiers
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Registered trials
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