Evidence map›Paper›PMID 42201734›Full record

Trial reportJAMA network open2026

Clinical Decision Support System, Antihypertensive Treatment Intensification, and Blood Pressure Control: A Post Hoc Secondary Analysis of a Cluster Randomized Trial.

Jiali Song, Yanchen Liu, Qinggang Shang, Jiamin Liu, Haibo Zhang, Zeming Zhou, Wei Wang, Jiapeng Lu, Xin Zheng

Registry-linked trialAbstract readRandomized Controlled TrialPragmatic Clinical Trial
In one paragraph

Trial report in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03636334 (Learning Implementation of Guideline-based Decision Support System for Hypertension Treatment), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact
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.

NCT03636334 naunknown statusnot on this map

Learning Implementation of Guideline-based Decision Support System for Hypertension Treatment (LIGHT): A Staged Cluster Randomized Trial

TypeinterventionalSponsorChina National Center for Cardiovascular DiseasesRan2019 to 2022Enrolled10,000ConditionsHypertensionArmsComputer-based decision support system
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Jiali SongDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yanchen LiuShenzhen Clinical Research Center for Cardiovascular Diseases, Fuwai Shenzhen Hospital, Chinese Academy of Medical Sciences, Shenzhen, Guangdong, China.
Qinggang ShangShenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Jiamin LiuNational Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, China.
Haibo ZhangNational Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, China.
Zeming ZhouNational Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, China.
Wei WangNational Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, China.
Jiapeng LuNational Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, China.
Xin ZhengShenzhen Clinical Research Center for Cardiovascular Diseases, Fuwai Shenzhen Hospital, Chinese Academy of Medical Sciences, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Clinical decision support systems (CDSSs) are increasingly used to improve guideline-based hypertension care; however, their association with antihypertensive treatment intensification and blood pressure (BP) control in primary care practices remains unclear. Objectives: To evaluate whether CDSS implementation was associated with improvement in antihypertensive treatment intensification and BP control in primary care practices and to examine the association between treatment intensification and BP change. Design, Setting, and Participants: This post hoc secondary analysis used the data from a pragmatic cluster randomized clinical trial conducted from August 1, 2019, to July 31, 2022, in urban primary care practices in China among 4612 adult patients with hypertension and uncontrolled BP at baseline. Data analysis was conducted from August 1, 2024, to September 1, 2025. Interventions: Practices randomized to the intervention group used a real-time, guideline-based CDSS for guiding antihypertensive treatment, while control practices delivered usual care. Main Outcomes and Measures: Treatment intensification rate, defined as the percentage of clinic visits with uncontrolled BP during which there was an increase in the class or dose of antihypertensive medication. Among patients with uncontrolled BP at baseline, treatment intensification was assessed at visits with uncontrolled BP, and BP control was evaluated at the last follow-up visit. Treatment intensity was summarized using a treatment intensification score reflecting the frequency of medication intensification relative to guideline expectations. Results: Among 4612 patients with uncontrolled BP at baseline (median age, 63 years [IQR, 52-74 years]; 2648 men [57.4%]; 2134 [46.3%] in CDSS group and 2478 [53.7%] in control group) from 93 practices, treatment intensification rates were higher in the CDSS group than in the usual care group (47.3% [95% CI, 40.1%-54.6%] vs 11.6% [95% CI, 8.9%-14.9%]; adjusted odds ratio [OR], 6.87 [95% CI, 4.90-9.64]; P < .001). The median treatment intensification score was higher in the CDSS group than in the usual care group (-0.25 [IQR, -0.50 to 0] vs -0.50 [IQR, -0.75 to -0.30]; mean difference, 0.22 [95% CI, 0.17-0.28]). Each 0.22-point increase in the treatment intensification score was associated with a mean systolic BP change of -3.8 mm Hg (95% CI, -4.1 to -3.5 mm Hg). BP control rates were similar between groups. Conclusions and Relevance: In this post hoc analysis of a cluster randomized clinical trial, CDSS implementation was associated with increased treatment intensification but was not associated with improvements in overall BP control. These findings suggest that stronger implementation strategies may be needed to translate treatment intensification into improved BP outcomes. Trial Registration: ClinicalTrials.gov Identifier: NCT03636334.

Indexed as

Antihypertensive AgentsDecision Support Systems, ClinicalHypertensionAgedBlood PressureChinaCluster AnalysisFemaleHumansMaleMiddle AgedPrimary Health CareAntihypertensive Agents

Identifiers

PMID42201734
PMCPMC13216984

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.