Evidence map›Paper›PMID 28254479›Full record

ArticleAcademic pediatrics2017

Predicting Hypertension Among Children With Incident Elevated Blood Pressure.

Matthew F Daley, Liza M Reifler, Eric S Johnson, Alan R Sinaiko, Karen L Margolis, Emily D Parker, Louise C Greenspan, Joan C Lo, Patrick J O'Connor, David J Magid

Open access · greenAbstract read
In one paragraph

Article in Academic pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 37% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Matthew F DaleyInstitute for Health Research, Kaiser Permanente Colorado, Denver, Colo; Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colo. Electronic address: matthew.f.daley@kp.org.
Liza M ReiflerInstitute for Health Research, Kaiser Permanente Colorado, Denver, Colo.
Eric S JohnsonCenter for Health Research, Kaiser Permanente Northwest, Portland, Ore.
Alan R SinaikoDepartment of Pediatrics, University of Minnesota, Minneapolis, Minn.
Karen L MargolisHealth Partners Institute, Minneapolis, Minn.
Emily D ParkerHealth Partners Institute, Minneapolis, Minn.
Louise C GreenspanKaiser Permanente San Francisco Medical Center, San Francisco, Calif.
Joan C LoDivision of Research, Kaiser Permanente Northern California, Oakland, Calif.
Patrick J O'ConnorHealth Partners Institute, Minneapolis, Minn.
David J MagidInstitute for Health Research, Kaiser Permanente Colorado, Denver, Colo.
Kaiser Permanente · USHealthPartners · USKaiser Permanente Center for Health Research · USKaiser Permanente San Francisco Medical Center · USUniversity of Minnesota · US

Funding

Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Childhood Hypertension and Obesity: Diagnosis, Care, and CostsR01HL093345 · NHLBI · HEALTHPARTNERS INSTITUTE · PI O'CONNOR, PATRICK J · 2009 to 2012
$3.0M
NHLBI NIH HHS R01 HL093345NIDDK NIH HHS P30 DK092924
6 · The paper itself

Abstract

objectiveTo develop a model to predict hypertension risk among children with incident elevated blood pressure (BP); to test the external validity of the model.

methodsA retrospective cohort study was conducted in 3 organizations: Kaiser Permanente Colorado was the model derivation site; HealthPartners of Minnesota and Kaiser Permanente Northern California served as external validation sites. During study years 2006 through 2012, all children aged 3 through 17 years with incident elevated BP in an outpatient setting were identified. The predictor variables were demographic and clinical characteristics collected during routine care. Cox proportional hazards regression was used to predict subsequent hypertension, and diagnostic statistics were used to assess model performance.

resultsAmong 5598 subjects at the derivation site with incident elevated BP, 160 (2.9%) developed hypertension during the study period. Eight characteristics were used to predict hypertension risk: age, sex, race, BP preceding incident elevated BP, body mass index percentile, systolic BP percentile, diastolic BP percentile, and clinical setting of the incident elevated BP. At the derivation site, the model discriminated well between those at higher versus lower risk of hypertension (c-statistic = 0.77). At external validation sites, the observed risk of hypertension was higher than the predicted risk, and the model showed poor discrimination (c-statistic ranged from 0.64 to 0.67).

conclusionsAmong children with incident elevated BP, a risk model demonstrated good internal validity with respect to predicting subsequent hypertension. However, the risk model did not perform well at 2 external validation sites, which might limit transportability to other settings.

Indexed as

Blood PressureAdolescentAge FactorsAsianBlack or African AmericanBody Mass IndexCaliforniaChildChild, PreschoolColoradoDiastoleElectronic Health RecordsEthnicityFemaleHispanic or LatinoHumanselectronic health recordselevated blood pressurehypertensionpredictive risk modelscreening

Identifiers

PMID28254479
PMCPMC5384864
OpenAlexW2589455082

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.